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The Seepage and Stability Performance Assessment of a New Drainage System to Increase the Height of a Tailings Dam

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Featured Application The proposed drainage system has potential applications to improve seepage and slope stability for the similar engineering. Abstract Effective methods for extending the storage capacity of tailings for a mining company include expanding and increasing the height of the tailings dam. However, this change could lead to an uplift in the phreatic line and a decrease in the slope stability. In this paper, a new drainage system combining a horizontal drainage pipe with an upward bending slotted pipe was proposed and applied to the design of a seepage-proof system for the Xigou tailings dam with an increased height. To accurately simulate the performance of the seepage control system, a three-dimensional finite element model was established on the basis of a geological investigation of the site conditions. In this work, a substructure technique was used to model the drainage pipe with a small radius and dense spacing to reduce the difficulty in mesh generation, and a back-analysis method called MPSO-BP (modified particle swarm optimization algorithm and a back propagation neural network) was used to correct the measured permeability coefficients. The results show that the new drainage system can effectively dissipate the seepage pressure, decrease the phreatic surface, and improve the safety factors of the slope stability. The proposed drainage system can also meet the seepage stability requirements of the higher tailings dam. Additionally, this system can be widely deployed in similar projects.
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applied
sciences
Article
The Seepage and Stability Performance Assessment
of a New Drainage System to Increase the Height of
a Tailings Dam
Chong Liu 1,2, Zhenzhong Shen 1,2, Lei Gan 1, 2, *, Liqun Xu 1,2, Kailai Zhang 1,2 and Tian Jin 2
1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University,
Nanjing 210098, China; chongliu@hhu.edu.cn (C.L.); zhzhshen@hhu.edu.cn (Z.S.);
yyshen@hhu.edu.cn (L.X.); zhangkailai@hhu.edu.cn (K.Z.)
2
The College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;
161302030005@hhu.edu.cn
*Correspondence: ganlei2015@hhu.edu.cn; Tel.: +86-139-1380-1656
Received: 4 September 2018; Accepted: 4 October 2018; Published: 7 October 2018


Featured Application: The proposed drainage system has potential applications to improve
seepage and slope stability for the similar engineering.
Abstract:
Effective methods for extending the storage capacity of tailings for a mining company
include expanding and increasing the height of the tailings dam. However, this change could lead
to an uplift in the phreatic line and a decrease in the slope stability. In this paper, a new drainage
system combining a horizontal drainage pipe with an upward bending slotted pipe was proposed
and applied to the design of a seepage-proof system for the Xigou tailings dam with an increased
height. To accurately simulate the performance of the seepage control system, a three-dimensional
finite element model was established on the basis of a geological investigation of the site conditions.
In this work, a substructure technique was used to model the drainage pipe with a small radius
and dense spacing to reduce the difficulty in mesh generation, and a back-analysis method called
MPSO-BP (modified particle swarm optimization algorithm and a back propagation neural network)
was used to correct the measured permeability coefficients. The results show that the new drainage
system can effectively dissipate the seepage pressure, decrease the phreatic surface, and improve
the safety factors of the slope stability. The proposed drainage system can also meet the seepage
stability requirements of the higher tailings dam. Additionally, this system can be widely deployed
in similar projects.
Keywords:
heightened tailings dam; tailing dam drainage system; seepage performance assessment;
substructure technique; slope stability
1. Introduction
A tailings dam is a large-scale, man-made structure that is constructed worldwide to keep
waste tailings away from ongoing mining activities where tailing are mixtures of crushed rocks [
1
].
Waste tailings pose a potential hazard to communities and ecosystems near mining areas [
2
]. The
upstream construction method is the main method for raising tailings dams [
3
]. Currently, in China,
there are 14,000 tailings dams (in operation, inactive, and abandoned), and more than 90% of these
dams are constructed using the upstream method [
4
]. In the raising method, dikes are sequentially
constructed on the previously deposited tailings, which may be present in a saturated and loose state.
The saturated tailings uplift the phreatic surface, which is usually called the “lifeline” of the tailings
dam, and cause an increase in the pore water stresses in the saturated zone [
5
]. Therefore, the effective
Appl. Sci. 2018,8, 1840; doi:10.3390/app8101840 www.mdpi.com/journal/applsci
Appl. Sci. 2018,8, 1840 2 of 20
stresses are reduced, which could lead to slope instability. Over the past few decades, tailings dams
that have undergone failure have caused serious disasters and have drawn public attention regarding
the safety of tailings construction and management [
6
,
7
]. Various factors usually contribute to the
failure of a tailings dam, such as extreme events, foundation failure, overtopping, poor operational
and management practices, or a combination of these factors [
8
11
]. Seepage and a rise in the phreatic
surface are related to 30%–40% of the failures of tailings ponds [12].
Currently, tighter legislation and regulations on tailings disposal have forced the mining
industry to address the disposal of a vast quantity of highly visible waste originating from mining
activities
[13,14]
. Because suitable land for tailings dams is increasingly rare and expensive in a
developing economy, to reduce costs, the mining industry prefers to expand and increase the height of
tailings ponds instead of constructing a new tailings dam [
15
]. Increasing the height of a tailings dam
to extend its tailings storage capacity is very common in China’s mines [
16
]. However, this change
could lead to an increase in the phreatic surface, causing the original drainage system to no longer
meet the requirements of seepage and consolidation after increasing the dam height, thus decreasing
the stability of the tailings dams [
17
,
18
]. Hence, a comprehensive analysis of the new drainage system
is essential before the structure is applied to increase the height of an existing tailings dam [19].
The drainage facilities of a tailings dam are complex, and the accurate simulation of the drainage
behavior is a technical problem in seepage calculations. The research on the seepage capacity of a
drainage pipe is mainly divided into theoretical research and numerical simulations. For theoretical
research, by analyzing the structure and permeability of the drainage pipe, Fu et al. [
20
] affirmed the
seepage capacity of the embedded drainage pipe. Jin et al. [
21
] proposed a formulation for calculating
the total seepage discharge and obtained the equivalent radius of the filter layer by establishing a
theoretical calculation model of the drainage pipe system. For numerical simulations, finite element
analysis of a draining pipe remains a challenge [
22
,
23
]. The major cause of this problem can be
attributed to two factors. The first factor is the difficulty of generating the finite element mesh with
hundreds or even thousands of drainage pipes with small diameters and dense spacing, and the
second factor is the strong nonlinearity in the calculation of the phreatic surface. To avoid these
difficulties, an equivalent medium producing the same flow rate was proposed to model the drainage
pipe. At the same time, many new techniques were developed for simulating the seepage behavior of
the drainage system, such as a substructure technique, a point well model, a semianalytical approach,
or composite element methods [
24
26
]. However, except when using the substructure technique,
it is difficult to accurately impose the boundary conditions of the drainage facilities in most of the
numerical simulation models; thus, the theoretical strictness of the solutions, to some degree, is not
guaranteed [
27
]. In this paper, the boundary condition of a sub-element for the drainage pipes satisfies
Signorini’s complementary condition. In addition, the substructure technique can essentially overcome
the singularity at the seepage points and maintain mesh independency.
In this study, to effectively increase the seepage capability, a new drainage system including
horizontal pipes and upward bending slotted pipes is proposed. Compared with traditional drainage
systems, the proposed system has both a reasonable layout method and a strong seepage capability,
which can effectively reduce the water level in the dam slope. Then, the finite element analyses of the
seepage flow behavior of the proposed drainage method are introduced using a model combining the
substructure technique with the variational inequality formulation of Signorini’s type [
28
]. There are
plans to expand the storage capacity of the Xigou tailings dam, which is located in Hubei Province in
central China (Figure 1); this dam is taken as a case study example. The remainder of this study is
arranged as follows: in Section 3, background information about the tailings pond at the Xigou mine is
collected, including geological characterization and the seepage control system. Section 4presents
the performance of the new drainage method by a three-dimensional numerical model of the Xigou
tailings dam and demonstrates the effectiveness of the proposed drainage method, which is followed
by a dam stability assessment using the limit equilibrium method (LEM) in Section 5. In the final
section, conclusions are drawn.
Appl. Sci. 2018,8, 1840 3 of 20
Appl. Sci. 2018, 8, 1840 3 of 20
Figure 1. A satellite image of the Xigou tailings pond.
2. A New Drainage Method for the Tailings Pond
2.1. Layout Method
When the height of the dam is increased, the phreatic surface in the tailings dam slope is
inevitably raised. Therefore, to increase the slope stability, a seepage control system in the
embankment must be proposed and implemented to accelerate the dissipation of excess pore water
stresses and to lower the phreatic surface in the downstream shell of the tailings dam. As shown in
Figure 2a, the traditional arrangement method uses an upwardly inclined drainage pipe, taking into
account that the seepage can quickly flow out and that an uneven settlement can be weakened during
the disposal of waste ore. However, this method has a fatal shortcoming. In this case, when the
drainage pipes are almost parallel to the phreatic line, the seepage stops. Even worse, the drainage
pipe is then vulnerable to blockage and failure. To solve the shortcoming in the traditional method,
Figure 2b presents a new arrangement of the drainage pipe based on many investigations and
analyses of tailings ponds. A horizontal drainage pipe combined with an upward bending slotted
pipe, which is inserted into the phreatic line at a certain depth, is proposed. When this arrangement
is applied to a tailings dam with an increased height, the phreatic surface intersects the drainage pipe.
This arrangement contributes to the seepage of water, which is centrally discharged out of the
embankment along the drainage structure, significantly improving the drainage capacity.
Figure 2. The layout of the drainage pipes. (a) Traditional approach. (b) A new drainage method
combining a horizontal pipe with an upward bending slotted pipe.
2.2. Slotted Drainage Pipes
The slotted drainage pipes, as shown in Figure 3a, use a polyethylene (PE) material and are
designed with a combination of holes and slots [29]. The outer diameter of the pipe and the wall
thickness of the pipe are 75 mm and 6 mm, respectively. Figure 3b shows 12 permeable slots that are
evenly distributed along the longitudinal wall of the pipe. Holes with 8-mm diameter are designed
in a spiral shape with a spacing of 150200 mm on the bottom of the seepage slots. Braided screens
of stainless steel wire are used in the filter layer of the drainage system. According to the principle of
drainage and depressurization of the filter layer, the pore diameter of the stainless steel wire is
matched with the composition of the tailing particles, as shown in Table 1.
Figure 1. A satellite image of the Xigou tailings pond.
2. A New Drainage Method for the Tailings Pond
2.1. Layout Method
When the height of the dam is increased, the phreatic surface in the tailings dam slope is inevitably
raised. Therefore, to increase the slope stability, a seepage control system in the embankment must be
proposed and implemented to accelerate the dissipation of excess pore water stresses and to lower the
phreatic surface in the downstream shell of the tailings dam. As shown in Figure 2a, the traditional
arrangement method uses an upwardly inclined drainage pipe, taking into account that the seepage
can quickly flow out and that an uneven settlement can be weakened during the disposal of waste
ore. However, this method has a fatal shortcoming. In this case, when the drainage pipes are almost
parallel to the phreatic line, the seepage stops. Even worse, the drainage pipe is then vulnerable
to blockage and failure. To solve the shortcoming in the traditional method, Figure 2b presents a
new arrangement of the drainage pipe based on many investigations and analyses of tailings ponds.
A horizontal drainage pipe combined with an upward bending slotted pipe, which is inserted into the
phreatic line at a certain depth, is proposed. When this arrangement is applied to a tailings dam with
an increased height, the phreatic surface intersects the drainage pipe. This arrangement contributes
to the seepage of water, which is centrally discharged out of the embankment along the drainage
structure, significantly improving the drainage capacity.
Appl. Sci. 2018, 8, 1840 3 of 20
Figure 1. A satellite image of the Xigou tailings pond.
2. A New Drainage Method for the Tailings Pond
2.1. Layout Method
When the height of the dam is increased, the phreatic surface in the tailings dam slope is
inevitably raised. Therefore, to increase the slope stability, a seepage control system in the
embankment must be proposed and implemented to accelerate the dissipation of excess pore water
stresses and to lower the phreatic surface in the downstream shell of the tailings dam. As shown in
Figure 2a, the traditional arrangement method uses an upwardly inclined drainage pipe, taking into
account that the seepage can quickly flow out and that an uneven settlement can be weakened during
the disposal of waste ore. However, this method has a fatal shortcoming. In this case, when the
drainage pipes are almost parallel to the phreatic line, the seepage stops. Even worse, the drainage
pipe is then vulnerable to blockage and failure. To solve the shortcoming in the traditional method,
Figure 2b presents a new arrangement of the drainage pipe based on many investigations and
analyses of tailings ponds. A horizontal drainage pipe combined with an upward bending slotted
pipe, which is inserted into the phreatic line at a certain depth, is proposed. When this arrangement
is applied to a tailings dam with an increased height, the phreatic surface intersects the drainage pipe.
This arrangement contributes to the seepage of water, which is centrally discharged out of the
embankment along the drainage structure, significantly improving the drainage capacity.
Figure 2. The layout of the drainage pipes. (a) Traditional approach. (b) A new drainage method
combining a horizontal pipe with an upward bending slotted pipe.
2.2. Slotted Drainage Pipes
The slotted drainage pipes, as shown in Figure 3a, use a polyethylene (PE) material and are
designed with a combination of holes and slots [29]. The outer diameter of the pipe and the wall
thickness of the pipe are 75 mm and 6 mm, respectively. Figure 3b shows 12 permeable slots that are
evenly distributed along the longitudinal wall of the pipe. Holes with 8-mm diameter are designed
in a spiral shape with a spacing of 150200 mm on the bottom of the seepage slots. Braided screens
of stainless steel wire are used in the filter layer of the drainage system. According to the principle of
drainage and depressurization of the filter layer, the pore diameter of the stainless steel wire is
matched with the composition of the tailing particles, as shown in Table 1.
Figure 2.
The layout of the drainage pipes. (
a
) Traditional approach. (
b
) A new drainage method
combining a horizontal pipe with an upward bending slotted pipe.
2.2. Slotted Drainage Pipes
The slotted drainage pipes, as shown in Figure 3a, use a polyethylene (PE) material and are
designed with a combination of holes and slots [
29
]. The outer diameter of the pipe and the wall
thickness of the pipe are 75 mm and 6 mm, respectively. Figure 3b shows 12 permeable slots that are
evenly distributed along the longitudinal wall of the pipe. Holes with 8-mm diameter are designed
in a spiral shape with a spacing of 150–200 mm on the bottom of the seepage slots. Braided screens
of stainless steel wire are used in the filter layer of the drainage system. According to the principle
of drainage and depressurization of the filter layer, the pore diameter of the stainless steel wire is
matched with the composition of the tailing particles, as shown in Table 1.
Appl. Sci. 2018,8, 1840 4 of 20
Appl. Sci. 2018, 8, 1840 4 of 20
Figure 3. The structure of a slotted drainage pipe. (a) Pipe structure. (b) Pipe section. (c) Pipes are clad
with the screen as a filter layer.
Table 1. The aperture of the stainless steel filter.
Tailings d0.075/% 95 90 80 70 50 40 30 20 10 5
Filtering Net Mesh Numbers 120 120 100 100 80 80 60 60 60 60
With this arrangement, seepage that previously went through the holes is replaced by seepage
through the slotted surfaces, which is beneficial for increasing the seepage area of the drainage pipe
in the tailings dam. Through rough calculations, the use of the proposed new drainage structure can
increase the seepage capability to approximately 20 times more than that of the traditional drainage
structure.
Traditional drainage pipes (Figure 4) are widely used in practice in China. The diameter of a
traditional drainage pipe is 100 mm, and 8 holes with diameters of 10 mm are located in a section of
the pipe. The seepage area of a single hole is equal to 3.14 × (5 mm) = 78.5 mm2. The values of the
contact area (CA) and the total seepage area (SA) of a 1 m pipe are equal to 3140 cm2 and 61.80 cm2,
respectively. Therefore, the seepage ratio (SR) is (62.80/3140) × 100% = 2%. However, for the slotted
drainage pipe, the SA value of a permeable slot is equal to 1000 mm × 10 mm = 100 cm2. There are 12
permeable slots distributed along the longitudinal wall of a pipe, and the total SA value is 1200 cm2.
Therefore, the SR value is 38.2%. By comparing the values of the SRs, it is clear that the new drainage
pipe can raise the seepage capability by approximately a factor of 20.
Figure 4. The structure of a traditional drainage pipe.
Ø8 mm
150-200 mm
Stainless wire
W
all groovel
Stainless wire
(a) (b)
(c)
Tailings sand
Tailings soil
Stainless wire
Ø10 mm
100 mm100 mm100 mm
Ø10 mm
Ø100 mm
Ø100 mm
Figure 3.
The structure of a slotted drainage pipe. (
a
) Pipe structure. (
b
) Pipe section. (
c
) Pipes are clad
with the screen as a filter layer.
Table 1. The aperture of the stainless steel filter.
Tailings d0.075/% 95 90 80 70 50 40 30 20 10 5
Filtering Net Mesh Numbers 120 120 100 100 80 80 60 60 60 60
With this arrangement, seepage that previously went through the holes is replaced by seepage
through the slotted surfaces, which is beneficial for increasing the seepage area of the drainage pipe
in the tailings dam. Through rough calculations, the use of the proposed new drainage structure
can increase the seepage capability to approximately 20 times more than that of the traditional
drainage structure.
Traditional drainage pipes (Figure 4) are widely used in practice in China. The diameter of a
traditional drainage pipe is 100 mm, and 8 holes with diameters of 10 mm are located in a section of
the pipe. The seepage area of a single hole is equal to 3.14
×
(5 mm) = 78.5 mm
2
. The values of the
contact area (CA) and the total seepage area (SA) of a 1 m pipe are equal to 3140 cm
2
and 61.80 cm
2
,
respectively. Therefore, the seepage ratio (SR) is (62.80/3140)
×
100% = 2%. However, for the slotted
drainage pipe, the SA value of a permeable slot is equal to 1000 mm
×
10 mm = 100 cm
2
. There are
12 permeable slots distributed along the longitudinal wall of a pipe, and the total SA value is 1200 cm
2
.
Therefore, the SR value is 38.2%. By comparing the values of the SRs, it is clear that the new drainage
pipe can raise the seepage capability by approximately a factor of 20.
Appl. Sci. 2018, 8, 1840 4 of 20
Figure 3. The structure of a slotted drainage pipe. (a) Pipe structure. (b) Pipe section. (c) Pipes are clad
with the screen as a filter layer.
Table 1. The aperture of the stainless steel filter.
Tailings d0.075/% 95 90 80 70 50 40 30 20 10 5
Filtering Net Mesh Numbers 120 120 100 100 80 80 60 60 60 60
With this arrangement, seepage that previously went through the holes is replaced by seepage
through the slotted surfaces, which is beneficial for increasing the seepage area of the drainage pipe
in the tailings dam. Through rough calculations, the use of the proposed new drainage structure can
increase the seepage capability to approximately 20 times more than that of the traditional drainage
structure.
Traditional drainage pipes (Figure 4) are widely used in practice in China. The diameter of a
traditional drainage pipe is 100 mm, and 8 holes with diameters of 10 mm are located in a section of
the pipe. The seepage area of a single hole is equal to 3.14 × (5 mm) = 78.5 mm2. The values of the
contact area (CA) and the total seepage area (SA) of a 1 m pipe are equal to 3140 cm2 and 61.80 cm2,
respectively. Therefore, the seepage ratio (SR) is (62.80/3140) × 100% = 2%. However, for the slotted
drainage pipe, the SA value of a permeable slot is equal to 1000 mm × 10 mm = 100 cm2. There are 12
permeable slots distributed along the longitudinal wall of a pipe, and the total SA value is 1200 cm2.
Therefore, the SR value is 38.2%. By comparing the values of the SRs, it is clear that the new drainage
pipe can raise the seepage capability by approximately a factor of 20.
Figure 4. The structure of a traditional drainage pipe.
Ø8 mm
150-200 mm
Stainless wire
W
all groovel
Stainless wire
(a) (b)
(c)
Tailings sand
Tailings soil
Stainless wire
Ø10 mm
Ø10 mm
Ø100 mm
Figure 4. The structure of a traditional drainage pipe.
Appl. Sci. 2018,8, 1840 5 of 20
2.3. Drainage Pipe Filter
The choice of the filter layer directly determines whether the drainage system can be maintained.
The improved new drainage pipe is clad with stainless steel wire braided screens, as shown in Figure 3c.
The new filtering net mesh is selected after the size distribution of the tailings sands is investigated and
analyzed, and this mesh prevents tailings of certain sizes from entering the permeable slots. To improve
the filter permeability performance and enlarge the permeable area, this design allows approximately
80% of the fine tailings to pass through the wire screen, while 20% of the coarse sands stay outside
of the screen. Therefore, the possibility of blocking and the failure of the proposed drainage pipes is
lower than in traditional drainage pipes. For calculating the thickness of the filter layer, which can
be used to determine the median element of the substructure technique during simulations, it can be
assumed that the filter layer is a regular circle. Based on the law of mass conservation and Darcy’s law,
the seepage of the equivalent filter layer is equal to the seepage of the drainage pipe, which can be
written as follows:
1/4πD2v1=1/4πd2v2(1)
where Dand dare the diameters of the equivalent filter layer and the drainage pipe, respectively, and
v1and v2denote the discharge velocity of the tailings and filter layer, respectively.
v=ki (2)
Here, kis the permeability coefficient, and iis the hydraulic gradient.
When neglecting the loss of the water head, i
1
= i
2
, the permeable coefficient k=Cd
2
,
(Liu et al. 2005).
Substituting Equation (2) into Equation (1) provides
D2d2
20 =D2
20d2(3)
and
D= (D20 /d20)d(4)
where d
20
and D
20
are the equivalent diameters of the tailings and the filter layer, respectively; D
20
can
be obtained by redrawing the gradation curve in which the particles smaller than a certain size are
removed.
The slotted pipe has the effect of an anchor pulling and reinforcing the tailings dam. The stability
of the tailings dam is increased to some extent. Therefore, the requirements for a long-term and
effective drainage system of the tailings dam can be satisfied.
3. Site Characterization of the Xigou Tailings Dam
3.1. Project Description
The Xigou silver mine is located in Shiyan City in the northeast area of the Hubei Province in China.
As shown in Figure 5, the tailings dam was raised using the upstream method in a narrow V-shaped
valley, in which the valley bank slopes are steep, with a gradient of approximately 40–60 degrees on the
northern hill and a gradient of approximately 30–50 degrees on the southern hill. To take advantage of
the natural closed basin, a cross-valley permanent tailings pond was constructed. The tailings slurry
was discharged into the pond through multiple spigots in the pipeline along the dam embankment.
An initial dam was built using locally available, residual rockfill material. The height and crest
width of this dike were 18 m and 5 m, respectively. The dam was designed to have an upstream
slope of 1 V: 1.7 H (vertical: horizontal) and a downstream slope of 1 V: 2 H. With the addition of
a tailings discharge, the crest of the dam was progressively raised over the past 20 years or more,
and the tailings dam was completely filled in according to the terms of the original design. Currently,
the most important challenge faced by the mining company is the disposal of forthcoming waste ore.
Appl. Sci. 2018,8, 1840 6 of 20
To save land, reduce costs, and ensure the mining company’s safety and sustainable development,
the company decided to expand and increase the height of the current tailings dam and improve the
storage capacity of its waste ore.
Appl. Sci. 2018, 8, 1840 6 of 20
Figure 5. The schematic map of the Xigou tailings pond.
An initial dam was built using locally available, residual rockfill material. The height and crest
width of this dike were 18 m and 5 m, respectively. The dam was designed to have an upstream slope
of 1 V: 1.7 H (vertical: horizontal) and a downstream slope of 1 V: 2 H. With the addition of a tailings
discharge, the crest of the dam was progressively raised over the past 20 years or more, and the
tailings dam was completely filled in according to the terms of the original design. Currently, the
most important challenge faced by the mining company is the disposal of forthcoming waste ore. To
save land, reduce costs, and ensure the mining company’s safety and sustainable development, the
company decided to expand and increase the height of the current tailings dam and improve the
storage capacity of its waste ore.
Figure 6 presents a typical cross-section of the Xigou tailings dam. The different material zones
are illustrated in the diagram. The base and abutments of the dam consist of strongly weathered and
moderately weathered crystal tuff. The tailing material zones are composed of silty sand tailings and
silty soil tailings. The rest of the material zones, categorized as man-made soil, are shown. The bottom
of the tailings dam is at an elevation of 910 m, while the current dam crest elevation is at an elevation
of 1003.84 m. The upstream slope ratio is 1:4 (V:H) (Figure 7). To meet the needs of mining production,
the ultimate planned height of the tailings dam is 100 m, and the crest elevation will exceed an
elevation of 1030 m. The ultimate storage capacity of the Xigou tailings dam is 253.45 million m3.
According to the national design codes of China [30], after increasing the height, the tailings dam is
classified as grade 3. However, considering that the poisonous tailings can pollute and pose a hazard
to the community and ecosystems near the mining areas, the dam must be raised to grade 2 when
checking the safety factors of the slope stability.
Figure 6. The geological cross-section and the layout of the drainage control system.
Figure 5. The schematic map of the Xigou tailings pond.
Figure 6presents a typical cross-section of the Xigou tailings dam. The different material zones
are illustrated in the diagram. The base and abutments of the dam consist of strongly weathered
and moderately weathered crystal tuff. The tailing material zones are composed of silty sand tailings
and silty soil tailings. The rest of the material zones, categorized as man-made soil, are shown. The
bottom of the tailings dam is at an elevation of 910 m, while the current dam crest elevation is at an
elevation of 1003.84 m. The upstream slope ratio is 1:4 (V:H) (Figure 7). To meet the needs of mining
production, the ultimate planned height of the tailings dam is 100 m, and the crest elevation will exceed
an elevation of 1030 m. The ultimate storage capacity of the Xigou tailings dam is 253.45 million m
3
.
According to the national design codes of China [
30
], after increasing the height, the tailings dam is
classified as grade 3. However, considering that the poisonous tailings can pollute and pose a hazard
to the community and ecosystems near the mining areas, the dam must be raised to grade 2 when
checking the safety factors of the slope stability.
Appl. Sci. 2018, 8, 1840 6 of 20
Figure 5. The schematic map of the Xigou tailings pond.
An initial dam was built using locally available, residual rockfill material. The height and crest
width of this dike were 18 m and 5 m, respectively. The dam was designed to have an upstream slope
of 1 V: 1.7 H (vertical: horizontal) and a downstream slope of 1 V: 2 H. With the addition of a tailings
discharge, the crest of the dam was progressively raised over the past 20 years or more, and the
tailings dam was completely filled in according to the terms of the original design. Currently, the
most important challenge faced by the mining company is the disposal of forthcoming waste ore. To
save land, reduce costs, and ensure the mining company’s safety and sustainable development, the
company decided to expand and increase the height of the current tailings dam and improve the
storage capacity of its waste ore.
Figure 6 presents a typical cross-section of the Xigou tailings dam. The different material zones
are illustrated in the diagram. The base and abutments of the dam consist of strongly weathered and
moderately weathered crystal tuff. The tailing material zones are composed of silty sand tailings and
silty soil tailings. The rest of the material zones, categorized as man-made soil, are shown. The bottom
of the tailings dam is at an elevation of 910 m, while the current dam crest elevation is at an elevation
of 1003.84 m. The upstream slope ratio is 1:4 (V:H) (Figure 7). To meet the needs of mining production,
the ultimate planned height of the tailings dam is 100 m, and the crest elevation will exceed an
elevation of 1030 m. The ultimate storage capacity of the Xigou tailings dam is 253.45 million m3.
According to the national design codes of China [30], after increasing the height, the tailings dam is
classified as grade 3. However, considering that the poisonous tailings can pollute and pose a hazard
to the community and ecosystems near the mining areas, the dam must be raised to grade 2 when
checking the safety factors of the slope stability.
Figure 6. The geological cross-section and the layout of the drainage control system.
Figure 6. The geological cross-section and the layout of the drainage control system.
Appl. Sci. 2018,8, 1840 7 of 20
Appl. Sci. 2018, 8, 1840 7 of 20
Figure 7. The Xigou tailings dam in 2017. (a) Downstream area. (b) Drainage pipes at an elevation of
955 m.
3.2. Layout of the Seepage Control System
According to the hydrogeologic conditions of the tailings dam with an increased height at the
site, a seepage control system consisting of horizontal drainage pipes and upward bending slotted
drainage pipes is proposed in the slope of the dam, as shown in Figure 6. The horizontal drainage
pipes consist of the current pipe and the planned pipes. Based on the national design standard and
experience in similar projects, the current horizontal drainage pipes were arranged at elevations of
934, 940, 950, 960, 970, and 985 m, and the planned straight pipes were designed at elevations of 1003,
1008, 1013, 1018, and 1023 m. The horizontal spacing of each row of drainage pipes for both the
current and ultimate conditions is 10 m, and the length of each drainage pipe is 40 m. The inclined
angle between the straight drainage pipe and the horizontal direction is 5 degrees. The tailings dam
contains 3 layers of slotted drainage pipes that are constructed from the line segment and the upward
bending section. The first layer of the upward bending pipe intersects with the horizontal drainage
pipe at an elevation of 1002 m. The lengths of the horizontal section and the curve section are 40 m
and 154 m, respectively. The highest point and the lowest point of the second layer of the upward
bending pipe are arranged at elevations of 996 m and 950 m, respectively. The length of the line
section is 30 m, and the total length is 136 m. The third layer of the upward bending pipe intersects
the embankment at elevations of 934 m and 960 m, respectively. All the pipes are made of PE material
and DN100 slotted pipes. The equivalent diameter of the filter layer is 0.75 m and it is determined by
analyzing the size distribution of the tailings sands.
4. Seepage Control System in the Xigou Tailings Dam with an Increased Height
4.1. The Finite Element Model
Before the calculation is performed, the construction of a 3D finite element model can be
performed as follows: specify the range of the numerical simulation, determine the type of elements
and the type of analysis, locate the position of geometry, input the material parameters, input the
boundary conditions, mesh generation, and set the initial conditions and calculation phases.
As shown in Figure 8a, a three-dimensional finite element mesh was generated for evaluating
the performance of the seepage-proof system design and the impact of increasing the height at the
Xigou tailings dam project. This model consisted of 356,221 nodes and 985,641 brick elements (with
a small number degenerated into tetrahedral elements). The size of the numerical model was 700 m
in the direction of the dam axis and 1000 m in the direction parallel to the river. The bottom of the
model was at an elevation of 800 m, and the highest elevation of the model was 1202 m. The
topographic and tailings material zone, as well as the seepage-proof system including the horizontal
pipes and the bending slotted pipes, are shown in Figure 8bd.
Figure 7.
The Xigou tailings dam in 2017. (
a
) Downstream area. (
b
) Drainage pipes at an elevation of
955 m.
3.2. Layout of the Seepage Control System
According to the hydrogeologic conditions of the tailings dam with an increased height at the
site, a seepage control system consisting of horizontal drainage pipes and upward bending slotted
drainage pipes is proposed in the slope of the dam, as shown in Figure 6. The horizontal drainage
pipes consist of the current pipe and the planned pipes. Based on the national design standard and
experience in similar projects, the current horizontal drainage pipes were arranged at elevations of 934,
940, 950, 960, 970, and 985 m, and the planned straight pipes were designed at elevations of 1003, 1008,
1013, 1018, and 1023 m. The horizontal spacing of each row of drainage pipes for both the current
and ultimate conditions is 10 m, and the length of each drainage pipe is 40 m. The inclined angle
between the straight drainage pipe and the horizontal direction is 5 degrees. The tailings dam contains
3 layers of slotted drainage pipes that are constructed from the line segment and the upward bending
section. The first layer of the upward bending pipe intersects with the horizontal drainage pipe at an
elevation of 1002 m. The lengths of the horizontal section and the curve section are 40 m and 154 m,
respectively. The highest point and the lowest point of the second layer of the upward bending pipe
are arranged at elevations of 996 m and 950 m, respectively. The length of the line section is 30 m, and
the total length is 136 m. The third layer of the upward bending pipe intersects the embankment at
elevations of 934 m and 960 m, respectively. All the pipes are made of PE material and DN100 slotted
pipes. The equivalent diameter of the filter layer is 0.75 m and it is determined by analyzing the size
distribution of the tailings sands.
4. Seepage Control System in the Xigou Tailings Dam with an Increased Height
4.1. The Finite Element Model
Before the calculation is performed, the construction of a 3D finite element model can be performed
as follows: specify the range of the numerical simulation, determine the type of elements and the
type of analysis, locate the position of geometry, input the material parameters, input the boundary
conditions, mesh generation, and set the initial conditions and calculation phases.
As shown in Figure 8a, a three-dimensional finite element mesh was generated for evaluating the
performance of the seepage-proof system design and the impact of increasing the height at the Xigou
tailings dam project. This model consisted of 356,221 nodes and 985,641 brick elements (with a small
number degenerated into tetrahedral elements). The size of the numerical model was 700 m in the
direction of the dam axis and 1000 m in the direction parallel to the river. The bottom of the model
was at an elevation of 800 m, and the highest elevation of the model was 1202 m. The topographic
and tailings material zone, as well as the seepage-proof system including the horizontal pipes and the
bending slotted pipes, are shown in Figure 8b–d.
Appl. Sci. 2018,8, 1840 8 of 20
Appl. Sci. 2018, 8, 1840 8 of 20
Figure 8. (a) A 3D finite element mesh for the Xigou tailings pond with an increased dam height.
(b) Tailings material zone. (c) Drainage control system. (d) Mesh of drainage pipes.
The boundary conditions were defined as follows: corresponding to the water level of a tailings
pond, the hydraulic head on the upstream dam surface was variable at different raising stages, and
the water head was constantly 910 m on the downstream dam surface. The lateral and bottom
boundaries in the model were taken to be impermeable. The potential seepage boundaries were
applied at the remaining boundaries, including the tailings dam surface and the ground above the
upstream and downstream water levels, the embankment, and the boundaries of the drainage pipe.
The potential seepage boundary satisfied Signorini’s complementary condition.
4.2. The Substructure Method and Boundary Conditions
Non-steady saturated seepage flow was used in this paper. The substructure method was
proposed by modeling a densely deployed drainage pipe of a small diameter by subdividing the
drainage element. Three-layer elements exist in each cross-section of the drainage pipe (Figure 9).
From the boundaries of the drainage pipe to the element face in the radial direction, the original
elements, the filter elements, and the drainage element are identified. The perimeter lengths of the
filter and drainage elements are consistent with the circular cross-sections of the filter and pipe. The
inner boundaries of the drainage element as the potential seepage surface are specified as the
complementary condition of Signorini’s type [31]. This condition is represented as follows:
, ( ) 0
(on )
( ) ( ) 0
n
s
n
z q
z q
(5)
where Γs is the potential seepage boundary, ϕ is the total water head, qn is the flux out of the boundary,
and z is the vertical coordinate.
Figure 8.
(
a
) A 3D finite element mesh for the Xigou tailings pond with an increased dam height. (
b
)
Tailings material zone. (c) Drainage control system. (d) Mesh of drainage pipes.
The boundary conditions were defined as follows: corresponding to the water level of a tailings
pond, the hydraulic head on the upstream dam surface was variable at different raising stages, and the
water head was constantly 910 m on the downstream dam surface. The lateral and bottom boundaries
in the model were taken to be impermeable. The potential seepage boundaries were applied at the
remaining boundaries, including the tailings dam surface and the ground above the upstream and
downstream water levels, the embankment, and the boundaries of the drainage pipe. The potential
seepage boundary satisfied Signorini’s complementary condition.
4.2. The Substructure Method and Boundary Conditions
Non-steady saturated seepage flow was used in this paper. The substructure method was
proposed by modeling a densely deployed drainage pipe of a small diameter by subdividing the
drainage element. Three-layer elements exist in each cross-section of the drainage pipe (Figure 9).
From the boundaries of the drainage pipe to the element face in the radial direction, the original
elements, the filter elements, and the drainage element are identified. The perimeter lengths of
the filter and drainage elements are consistent with the circular cross-sections of the filter and pipe.
The inner boundaries of the drainage element as the potential seepage surface are specified as the
complementary condition of Signorini’s type [31]. This condition is represented as follows:
(φz,qn(φ)0
(φz)qn(φ) = 0(on Γs)(5)
where
Γs
is the potential seepage boundary,
φ
is the total water head, q
n
is the flux out of the boundary,
and zis the vertical coordinate.
Appl. Sci. 2018,8, 1840 9 of 20
Appl. Sci. 2018, 8, 1840 9 of 20
Figure 9. The construction of a drainage substructure.
Combined with the substructure technique and the variational inequality formulation of
Signorini’s type, the singularity at the seepage points can be eliminated to reduce the work involved
with generating the mesh and solving the equation.
4.3. Phreatic Surface of the Tailings Dam
To obtain the initial hydraulic properties and the phreatic surface of the tailings dam, 16
boreholes were arranged at the dam site (with the locations of the boreholes as shown in Figure 6.
According to the geological engineering survey results, the initial permeability coefficients of each
material are shown in Table 2, as the permeability coefficients of the tailings materials and foundation
are different from depths to depths and from locations to locations [32]. A limitation of the borehole
tests is that only part of the region’s permeability coefficients is estimated [33]. The borehole testing
results could not be used to calculate a numerical model. To obtain the precise permeability
coefficients used for calculations, the MPSO-BP method and the in-house made finite element code
were used to back-calculate the initial seepage field [34].
Along the main channel, 16 piezometers were installed to continuously measure the phreatic
surface and its range of variation. Using the observation wells in the boreholes, the steady-state
groundwater level was measured during the exploration of the Xigou tailings dam. Figure 3 presents
the location of the phreatic line at the typical cross-section. The groundwater level reflected the
normal conditions of the tailings dam and was used as the initial seepage field because the seepage
control system was designed according to this condition. The distribution of the water head of the
initial seepage field could be used for back analysis. The basic idea of the MPSO-BP method is that
the difference between the measured water heads at the boreholes and the fitness water heads is
minimized. The objective function can be written as
2
1
min ( )
n
c m
i i i
i
f w h h (6)
where n is the total number of piezometers, wi is the weight at the ith borehole, and hic and him are the
calculated and measured water heads at the ith borehole, respectively.
The iterative process of the back-calculation was implemented with the MPSO-BP method based
on a modified particle swarm optimization algorithm and a neural network simulator. The algorithm
Figure 9. The construction of a drainage substructure.
Combined with the substructure technique and the variational inequality formulation of
Signorini’s type, the singularity at the seepage points can be eliminated to reduce the work involved
with generating the mesh and solving the equation.
4.3. Phreatic Surface of the Tailings Dam
To obtain the initial hydraulic properties and the phreatic surface of the tailings dam, 16 boreholes
were arranged at the dam site (with the locations of the boreholes as shown in Figure 6. According
to the geological engineering survey results, the initial permeability coefficients of each material
are shown in Table 2, as the permeability coefficients of the tailings materials and foundation are
different from depths to depths and from locations to locations [
32
]. A limitation of the borehole
tests is that only part of the region’s permeability coefficients is estimated [
33
]. The borehole testing
results could not be used to calculate a numerical model. To obtain the precise permeability coefficients
used for calculations, the MPSO-BP method and the in-house made finite element code were used to
back-calculate the initial seepage field [34].
Along the main channel, 16 piezometers were installed to continuously measure the phreatic
surface and its range of variation. Using the observation wells in the boreholes, the steady-state
groundwater level was measured during the exploration of the Xigou tailings dam. Figure 3presents
the location of the phreatic line at the typical cross-section. The groundwater level reflected the normal
conditions of the tailings dam and was used as the initial seepage field because the seepage control
system was designed according to this condition. The distribution of the water head of the initial
seepage field could be used for back analysis. The basic idea of the MPSO-BP method is that the
difference between the measured water heads at the boreholes and the fitness water heads is minimized.
The objective function can be written as
min f=
n
i=1
wi(hc
ihm
i)2(6)
where nis the total number of piezometers, w
i
is the weight at the ith borehole, and
hc
i
and
hm
i
are the
calculated and measured water heads at the ith borehole, respectively.
Appl. Sci. 2018,8, 1840 10 of 20
The iterative process of the back-calculation was implemented with the MPSO-BP method based
on a modified particle swarm optimization algorithm and a neural network simulator. The algorithm
parameters were as follows: the maximum iterations is 1000, the number of particles is 20, weight
function
ω
= 0.4–0.9, c
1
= 3.3, and c
2
= 1.7. The back-analysis results showed that when the permeability
coefficients of all the materials at the site were taken in Table 2, the value of the objective function was
minimized at all observation boreholes. Figure 10 compares the calculated and measured groundwater
levels at each borehole, indicating that the initial seepage field was reasonably simulated using the
back-calculated permeability coefficients. The range of error could be controlled to below 5% between
the calculated and measured phreatic surface, which also verified the rationality of the inverse results.
Therefore, the back-calculated permeability coefficients were acceptable for a further performance
assessment of the seepage.
Table 2. The comparison between the measured and calculated permeability coefficients.
Parameters Permeability Coefficient (cm/s) Corrected Permeability
Coefficient (cm/s)
Horizontal kxVertical kyHorizontal kxVertical ky
Moderately weathered crystal tuff
2.3 ×1072.1 ×1072.5 ×1072.3 ×107
Strongly weathered crystal tuff 5.7 ×1054.8 ×1055.7 ×1054.8 ×105
Initial dam 3.3 ×1033.3 ×1031.5 ×1032.1 ×103
Silty sand tailings 5.0 ×1044.5 ×1045.1 ×1044.3 ×104
Silty soil tailings 8.0 ×1056.4 ×1058.2 ×1057.1 ×105
Silty clay 1.4 ×1051.2 ×1053.2 ×1052.5 ×105
Artificial clay I 5.1 ×1055.1 ×1055.1 ×1055.1 ×105
Artificial clay II 3.3 ×1033.1 ×1035.0 ×1024.3 ×103
Appl. Sci. 2018, 8, 1840 10 of 20
parameters were as follows: the maximum iterations is 1000, the number of particles is 20, weight
function ω = 0.40.9, c1 = 3.3, and c2 = 1.7. The back-analysis results showed that when the permeability
coefficients of all the materials at the site were taken in Table 2, the value of the objective function
was minimized at all observation boreholes. Figure 10 compares the calculated and measured
groundwater levels at each borehole, indicating that the initial seepage field was reasonably
simulated using the back-calculated permeability coefficients. The range of error could be controlled
to below 5% between the calculated and measured phreatic surface, which also verified the rationality
of the inverse results. Therefore, the back-calculated permeability coefficients were acceptable for a
further performance assessment of the seepage.
Table 2. The comparison between the measured and calculated permeability coefficients.
Parameters
Permeability Coefficient
(cm/s)
Corrected Permeability
Coefficient (cm/s)
Horizontal kx Vertical ky Horizontal kx Vertical ky
Moderately weathered crystal tuff 2.3107 2.1107 2.5107 2.3107
Strongly weathered crystal tuff 5.7105 4.8105 5.7105 4.8105
Initial dam 3.3103 3.3103 1.5103 2.1103
Silty sand tailings 5.0104 4.5104 5.1104 4.3104
Silty soil tailings 8.0105 6.4105 8.2105 7.1105
Silty clay 1.4105 1.2105 3.2105 2.5105
Artificial clay I 5.1105 5.1105 5.1105 5.1105
Artificial clay II 3.3103 3.1103 5.0102 4.3103
Figure 10. The comparison between the measured and calculated values of the water head at the
boreholes.
4.4. Numerical Results
4.4.1. Performance Estimation of the Seepage-Proof System
In this section, the performance assessment of the proposed seepage control system after the
height of the dam was increased was described under extreme operating conditions using the
previously proposed method. Under this condition, the water level of the tailings impoundment was
1029.0 m from the flood prevention calculation. With the calculation of the finite element model, the
distribution of the water head and the free surface of the typical cross-section were compared under
Figure 10.
The comparison between the measured and calculated values of the water head at
the boreholes.
4.4. Numerical Results
4.4.1. Performance Estimation of the Seepage-Proof System
In this section, the performance assessment of the proposed seepage control system after the height
of the dam was increased was described under extreme operating conditions using the previously
proposed method. Under this condition, the water level of the tailings impoundment was 1029.0 m
Appl. Sci. 2018,8, 1840 11 of 20
from the flood prevention calculation. With the calculation of the finite element model, the distribution
of the water head and the free surface of the typical cross-section were compared under the two
conditions of setting drainage and without drainage, as shown in Figure 11. Initially, no additional
seepage control structure was set up during operation. The distribution of the water head changed
along the axis of the dam, and the equipotential line was relatively sparse upstream of the dam,
while the equipotential line was highly dense near the junction of the heaping dam and the initial
dam. The phreatic surface was smooth in the upstream tailing zone, but it was out of the dam slope
downstream. When it reached the initial dam, the phreatic line showed a significant depression due to
the high-permeability rockfill material, which then traveled downstream in a nearly horizontal state.
The predicted maximum seepage gradient was 1.50, which appeared at the junction of the heaping
dam and initial dam.
Appl. Sci. 2018, 8, 1840 11 of 20
the two conditions of setting drainage and without drainage, as shown in Figure 11. Initially, no
additional seepage control structure was set up during operation. The distribution of the water head
changed along the axis of the dam, and the equipotential line was relatively sparse upstream of the
dam, while the equipotential line was highly dense near the junction of the heaping dam and the
initial dam. The phreatic surface was smooth in the upstream tailing zone, but it was out of the dam
slope downstream. When it reached the initial dam, the phreatic line showed a significant depression
due to the high-permeability rockfill material, which then traveled downstream in a nearly horizontal
state. The predicted maximum seepage gradient was 1.50, which appeared at the junction of the
heaping dam and initial dam.
Figure 11. The comparison of the hydraulic head contours and phreatic surface at a typical cross-
section in the system without drainage and with the proposed drainage system.
To decrease the phreatic surface, the new seepage control system was arranged in the process of
increasing the dam height. The predicted seepage field of the finite element simulation is illustrated.
Figure 11 plots the phreatic line and pressure head distribution of the whole seepage field (with the
real line representation). Clearly, the phreatic line was reduced, the variation in the water head was
gentle, and the free surface no longer escaped from the downstream slope. By calculating the seepage
gradient, the maximum seepage gradient decreased from 1.50 to 0.83, which occurred at the same
location as in the system without drainage. Figure 12 presents the three-dimensional free surface and
the contour map of the groundwater level distribution and shows that due to the sufficient seepage-
proof system, the distribution of the seepage flow field was more uniform in the tailings area, and
the overall fluidization was smoother compared with the absence of the drainage system. The above
numerical results clearly indicate that the proposed new seepage control system can not only
effectively reduce the seepage pressure and depress the pore water stresses but also improve the
overall groundwater movement trend and the local seepage field. These effects should be properly
considered in the performance assessment of the seepage-proof system.
Figure 12. The comparison of the 3D free surface and the contour map of the groundwater level
distribution in the system without drainage (a) and with the proposed drainage system (b).
4.4.2. Comparison of the Seepage Results with Different Drainage Conditions
To further evaluate the effectiveness of the new drainage system, the performance assessments
of the seepage without drainage measures, with only horizontal drainage measures and with the
proposed drainage measures were compared and analyzed. The process of increasing the height of
Figure 11.
The comparison of the hydraulic head contours and phreatic surface at a typical cross-section
in the system without drainage and with the proposed drainage system.
To decrease the phreatic surface, the new seepage control system was arranged in the process of
increasing the dam height. The predicted seepage field of the finite element simulation is illustrated.
Figure 11 plots the phreatic line and pressure head distribution of the whole seepage field (with
the real line representation). Clearly, the phreatic line was reduced, the variation in the water head
was gentle, and the free surface no longer escaped from the downstream slope. By calculating the
seepage gradient, the maximum seepage gradient decreased from 1.50 to 0.83, which occurred at
the same location as in the system without drainage. Figure 12 presents the three-dimensional free
surface and the contour map of the groundwater level distribution and shows that due to the sufficient
seepage-proof system, the distribution of the seepage flow field was more uniform in the tailings
area, and the overall fluidization was smoother compared with the absence of the drainage system.
The above numerical results clearly indicate that the proposed new seepage control system can not
only effectively reduce the seepage pressure and depress the pore water stresses but also improve the
overall groundwater movement trend and the local seepage field. These effects should be properly
considered in the performance assessment of the seepage-proof system.
Appl. Sci. 2018, 8, 1840 11 of 20
the two conditions of setting drainage and without drainage, as shown in Figure 11. Initially, no
additional seepage control structure was set up during operation. The distribution of the water head
changed along the axis of the dam, and the equipotential line was relatively sparse upstream of the
dam, while the equipotential line was highly dense near the junction of the heaping dam and the
initial dam. The phreatic surface was smooth in the upstream tailing zone, but it was out of the dam
slope downstream. When it reached the initial dam, the phreatic line showed a significant depression
due to the high-permeability rockfill material, which then traveled downstream in a nearly horizontal
state. The predicted maximum seepage gradient was 1.50, which appeared at the junction of the
heaping dam and initial dam.
Figure 11. The comparison of the hydraulic head contours and phreatic surface at a typical cross-
section in the system without drainage and with the proposed drainage system.
To decrease the phreatic surface, the new seepage control system was arranged in the process of
increasing the dam height. The predicted seepage field of the finite element simulation is illustrated.
Figure 11 plots the phreatic line and pressure head distribution of the whole seepage field (with the
real line representation). Clearly, the phreatic line was reduced, the variation in the water head was
gentle, and the free surface no longer escaped from the downstream slope. By calculating the seepage
gradient, the maximum seepage gradient decreased from 1.50 to 0.83, which occurred at the same
location as in the system without drainage. Figure 12 presents the three-dimensional free surface and
the contour map of the groundwater level distribution and shows that due to the sufficient seepage-
proof system, the distribution of the seepage flow field was more uniform in the tailings area, and
the overall fluidization was smoother compared with the absence of the drainage system. The above
numerical results clearly indicate that the proposed new seepage control system can not only
effectively reduce the seepage pressure and depress the pore water stresses but also improve the
overall groundwater movement trend and the local seepage field. These effects should be properly
considered in the performance assessment of the seepage-proof system.
Figure 12. The comparison of the 3D free surface and the contour map of the groundwater level
distribution in the system without drainage (a) and with the proposed drainage system (b).
4.4.2. Comparison of the Seepage Results with Different Drainage Conditions
To further evaluate the effectiveness of the new drainage system, the performance assessments
of the seepage without drainage measures, with only horizontal drainage measures and with the
proposed drainage measures were compared and analyzed. The process of increasing the height of
Figure 12.
The comparison of the 3D free surface and the contour map of the groundwater level
distribution in the system without drainage (a) and with the proposed drainage system (b).
Appl. Sci. 2018,8, 1840 12 of 20
4.4.2. Comparison of the Seepage Results with Different Drainage Conditions
To further evaluate the effectiveness of the new drainage system, the performance assessments
of the seepage without drainage measures, with only horizontal drainage measures and with the
proposed drainage measures were compared and analyzed. The process of increasing the height of the
dam was divided into five stages to simulate the sequential raising of the dam. In each filling stage,
the influence of the seepage control system and the variation in the seepage gradient were researched
under the three different drainage conditions. Figure 13 shows the change in the maximum seepage
gradient values and the minimum depth of the phreatic surface when the tailings dam was raised
sequentially, indicating that if there was no drainage system, then the behavior of the phreatic surface
was inconsistent and changed sharply in the location position, leading to a large seepage gradient
and a shallow burial depth. After the horizontal drainage pipe was arranged in the heightened slope,
the overall and local seepage gradient was improved, causing the maximum seepage gradient to be
reduced by approximately 15% and the minimum burial depth to be increased by approximately 5.6 m;
however, the minimum burial depth was slightly higher than the national standard during the last two
stages. Due to the effect of the water guide of the upward bending slotted pipe, the proposed drainage
system acted as a drainage channel, which could accelerate the dissipation of pore water stresses and
the process of consolidating the tailings slurry to further reduce the free surface. A stable seepage
field could be observed during various raisings. The maximum seepage gradient was reduced by
approximately 40%, and the minimum burial depth was increased by approximately 9.3 m. Compared
with only horizontal drainage pipes, all the minimum burial depths with new drainage pipes met the
national standard. All three of these cases reflected the characteristics of the increase in the seepage
gradient and the decrease in the depth with the rise of the tailings pond. However, the performance of
the new seepage control system was better than the other two cases.
Appl. Sci. 2018, 8, 1840 12 of 20
the dam was divided into five stages to simulate the sequential raising of the dam. In each filling
stage, the influence of the seepage control system and the variation in the seepage gradient were
researched under the three different drainage conditions. Figure 13 shows the change in the
maximum seepage gradient values and the minimum depth of the phreatic surface when the tailings
dam was raised sequentially, indicating that if there was no drainage system, then the behavior of
the phreatic surface was inconsistent and changed sharply in the location position, leading to a large
seepage gradient and a shallow burial depth. After the horizontal drainage pipe was arranged in the
heightened slope, the overall and local seepage gradient was improved, causing the maximum
seepage gradient to be reduced by approximately 15% and the minimum burial depth to be increased
by approximately 5.6 m; however, the minimum burial depth was slightly higher than the national
standard during the last two stages. Due to the effect of the water guide of the upward bending
slotted pipe, the proposed drainage system acted as a drainage channel, which could accelerate the
dissipation of pore water stresses and the process of consolidating the tailings slurry to further reduce
the free surface. A stable seepage field could be observed during various raisings. The maximum
seepage gradient was reduced by approximately 40%, and the minimum burial depth was increased
by approximately 9.3 m. Compared with only horizontal drainage pipes, all the minimum burial
depths with new drainage pipes met the national standard. All three of these cases reflected the
characteristics of the increase in the seepage gradient and the decrease in the depth with the rise of
the tailings pond. However, the performance of the new seepage control system was better than the
other two cases.
Figure 13. The comparison of the burial depth of the phreatic surface (a) and the maximum seepage
gradient (b) in various cases.
4.4.3. Local Failure Analysis of the Drainage Pipe
During the construction and long-term operation of the tailings dam, the drainage pipes may be
blocked, which results in a local blockage and low permeability of some drainage pipes in the seepage
system [35,36]. Therefore, to further confirm the rationality of the new drainage system, a stochastic
simulation analysis was carried out for a new drainage system due to partial blockage resulting in a
decrease in the permeability coefficients. It was assumed that the blockage probability of all drainage
pipes was random and had a uniform distribution. The simulation method and steps of the local
failure of the drain pipe are as follows.
1 Select the object elements, including the horizontal and upward bending drainage pipes for the
three-dimensional finite element model, and then set the percentage of the local failure.
2 Introduce the concept of random numbers, and sample them randomly according to the uniform
distribution. When the ratio, which denotes the sum of the volume of the damaged elements to
the total volume of drainage elements, reaches the set percentage of local failure, the sampling
is stopped.
3 Modify the permeability coefficients of the random sampling elements to be consistent with the
nearby tailings material.
Figure 13.
The comparison of the burial depth of the phreatic surface (
a
) and the maximum seepage
gradient (b) in various cases.
4.4.3. Local Failure Analysis of the Drainage Pipe
During the construction and long-term operation of the tailings dam, the drainage pipes may be
blocked, which results in a local blockage and low permeability of some drainage pipes in the seepage
system [
35
,
36
]. Therefore, to further confirm the rationality of the new drainage system, a stochastic
simulation analysis was carried out for a new drainage system due to partial blockage resulting in a
decrease in the permeability coefficients. It was assumed that the blockage probability of all drainage
pipes was random and had a uniform distribution. The simulation method and steps of the local
failure of the drain pipe are as follows.
1.
Select the object elements, including the horizontal and upward bending drainage pipes for the
three-dimensional finite element model, and then set the percentage of the local failure.
Appl. Sci. 2018,8, 1840 13 of 20
2.
Introduce the concept of random numbers, and sample them randomly according to the uniform
distribution. When the ratio, which denotes the sum of the volume of the damaged elements to
the total volume of drainage elements, reaches the set percentage of local failure, the sampling
is stopped.
3.
Modify the permeability coefficients of the random sampling elements to be consistent with the
nearby tailings material.
A total of 20 groups of samples were generated for the 5% random local blockage rate of the
drainage pipes, and the seepage calculation was carried out. Two positions in the tailings dam were
selected to record the elevation of the phreatic line, and a statistical analysis was conducted. As shown
in Figure 14, when the number of samples reached 13 groups, the average elevation of the phreatic
line at two positions tended to be stable. Therefore, it could be considered that the selected random
sample number was representative. The average value of the phreatic surface of the tailings dam could
converge under the condition of a random local blockage. The 20 groups of samples were calculated
and analyzed, and the upper and lower envelope graphs of the phreatic line of the tailings dam were
drawn, as shown in Figure 15a. Compared with the seepage field without blockage, a 5% random
local failure had some influence on the phreatic line of the tailings dam. The local phreatic line had
a larger deviation than that without the blockage, and the maximum height difference between the
upper and lower envelopes reached 6.5 m, occurring near the initial dam. The maximum seepage
gradient reached 1.33, but it did not exceed the dam body’s allowable seepage gradient.
Appl. Sci. 2018, 8, 1840 13 of 20
A total of 20 groups of samples were generated for the 5% random local blockage rate of the
drainage pipes, and the seepage calculation was carried out. Two positions in the tailings dam were
selected to record the elevation of the phreatic line, and a statistical analysis was conducted. As
shown in Figure 14, when the number of samples reached 13 groups, the average elevation of the
phreatic line at two positions tended to be stable. Therefore, it could be considered that the selected
random sample number was representative. The average value of the phreatic surface of the tailings
dam could converge under the condition of a random local blockage. The 20 groups of samples were
calculated and analyzed, and the upper and lower envelope graphs of the phreatic line of the tailings
dam were drawn, as shown in Figure 15a. Compared with the seepage field without blockage, a 5%
random local failure had some influence on the phreatic line of the tailings dam. The local phreatic
line had a larger deviation than that without the blockage, and the maximum height difference
between the upper and lower envelopes reached 6.5 m, occurring near the initial dam. The maximum
seepage gradient reached 1.33, but it did not exceed the dam body's allowable seepage gradient.
Figure 14. The fluctuation of the mean height of the phreatic surface at x = 0 and x = 100 m.
Similarly, 20 sets of samples were generated for the calculation and analysis of the 10% random
local failure. The numerical results are shown in Figure 15b. The variation rule of the seepage field
was consistent with the 5% blockage condition, except that the degree of deviation of the local free
surface was increased, and the maximum height difference between the upper and lower envelopes
reached 9.6 m. The maximum seepage gradient of the dam increased by 0.14 of that of the 5% failure
and was still within the permissive seepage gradient.
Figure 15. The phreatic surface envelope diagram of drainage elements at (a) 5% blockage (b) 10%
blockage.
Figure 14. The fluctuation of the mean height of the phreatic surface at x = 0 and x = 100 m.
Similarly, 20 sets of samples were generated for the calculation and analysis of the 10% random
local failure. The numerical results are shown in Figure 15b. The variation rule of the seepage field
was consistent with the 5% blockage condition, except that the degree of deviation of the local free
surface was increased, and the maximum height difference between the upper and lower envelopes
reached 9.6 m. The maximum seepage gradient of the dam increased by 0.14 of that of the 5% failure
and was still within the permissive seepage gradient.
4.4.4. Sensitivity Analysis of the Tailings Material
Considering the randomness of the tailings drainage process and the uncertainty of sedimentation,
a sensitivity analysis of the permeability coefficients of the tailings to the seepage field during the
construction and operation of the tailings dam was carried out. To further understand the drainage
effect of the new drainage system, the horizontal permeability coefficient of the tailings was reduced by
1.5 times, or the vertical permeability coefficient was increased by 1.5 times. Reducing the horizontal
or increasing the vertical permeability coefficient was equivalent to exerting a water-blocking effect
Appl. Sci. 2018,8, 1840 14 of 20
on the dam. This meant that the phreatic surface of the dam would be uplifted. To prevent seepage
damage, the drainage system must have a stronger ability to guide water.
Appl. Sci. 2018, 8, 1840 13 of 20
A total of 20 groups of samples were generated for the 5% random local blockage rate of the
drainage pipes, and the seepage calculation was carried out. Two positions in the tailings dam were
selected to record the elevation of the phreatic line, and a statistical analysis was conducted. As
shown in Figure 14, when the number of samples reached 13 groups, the average elevation of the
phreatic line at two positions tended to be stable. Therefore, it could be considered that the selected
random sample number was representative. The average value of the phreatic surface of the tailings
dam could converge under the condition of a random local blockage. The 20 groups of samples were
calculated and analyzed, and the upper and lower envelope graphs of the phreatic line of the tailings
dam were drawn, as shown in Figure 15a. Compared with the seepage field without blockage, a 5%
random local failure had some influence on the phreatic line of the tailings dam. The local phreatic
line had a larger deviation than that without the blockage, and the maximum height difference
between the upper and lower envelopes reached 6.5 m, occurring near the initial dam. The maximum
seepage gradient reached 1.33, but it did not exceed the dam body's allowable seepage gradient.
Figure 14. The fluctuation of the mean height of the phreatic surface at x = 0 and x = 100 m.
Similarly, 20 sets of samples were generated for the calculation and analysis of the 10% random
local failure. The numerical results are shown in Figure 15b. The variation rule of the seepage field
was consistent with the 5% blockage condition, except that the degree of deviation of the local free
surface was increased, and the maximum height difference between the upper and lower envelopes
reached 9.6 m. The maximum seepage gradient of the dam increased by 0.14 of that of the 5% failure
and was still within the permissive seepage gradient.
Figure 15. The phreatic surface envelope diagram of drainage elements at (a) 5% blockage (b) 10%
blockage.
Figure 15.
The phreatic surface envelope diagram of drainage elements at (
a
) 5% blockage
(b) 10% blockage.
The simulation results from Figure 16a show that after the horizontal permeability coefficient was
decreased by 1.5 times, the free surface of the tailings dam was raised, with an average uplift of 4.5 m
and a maximum uplift of 6.3 m. When the vertical permeability coefficient was increased by 1.5 times,
the elevation of the phreatic surface of the dam was not obvious and was only noticeable in the locally
uplifted area, with an average uplift of 2.9 m and a maximum uplift of 3.6 m. The calculation indicates
that the performance of the seepage-proof system is less sensitive to the variation in the permeability
coefficient of the tailings materials.
Appl. Sci. 2018, 8, 1840 14 of 20
4.4.4. Sensitivity Analysis of the Tailings Material
Considering the randomness of the tailings drainage process and the uncertainty of
sedimentation, a sensitivity analysis of the permeability coefficients of the tailings to the seepage field
during the construction and operation of the tailings dam was carried out. To further understand the
drainage effect of the new drainage system, the horizontal permeability coefficient of the tailings was
reduced by 1.5 times, or the vertical permeability coefficient was increased by 1.5 times. Reducing
the horizontal or increasing the vertical permeability coefficient was equivalent to exerting a water-
blocking effect on the dam. This meant that the phreatic surface of the dam would be uplifted. To
prevent seepage damage, the drainage system must have a stronger ability to guide water.
The simulation results from Figure 16a show that after the horizontal permeability coefficient
was decreased by 1.5 times, the free surface of the tailings dam was raised, with an average uplift of
4.5 m and a maximum uplift of 6.3 m. When the vertical permeability coefficient was increased by 1.5
times, the elevation of the phreatic surface of the dam was not obvious and was only noticeable in
the locally uplifted area, with an average uplift of 2.9 m and a maximum uplift of 3.6 m. The
calculation indicates that the performance of the seepage-proof system is less sensitive to the
variation in the permeability coefficient of the tailings materials.
Figure 16. The comparison of the phreatic surface at a typical cross-section (a) for the cases with a
change in the permeability coefficient and with different pipe spacings (b).
4.4.5. Sensitivity Analysis of the Drainage Pipe Spacing
The seepage flow behaviors in the tailings dam with an increased height are usually related to
the spacing of the drainage pipes. If the drainage pipes are more densely installed, the elevation of
the phreatic surface can be more drastically lowered. However, with a decrease in the pipe spacing,
the construction becomes more difficult, and the construction costs increase. To design a reasonable
drainage pipe spacing, a spacing from 6 m to 14 m with an increment of 2 m was simulated to assess
the performance of the seepage behavior. Currently, the drainage pipe spacing was taken to be 10 m
according to the design requirements.
The numerical results with different pipe spacings are depicted in Figure 16b, indicating that
with a decrease in the pipe spacing, the phreatic surface was significantly reduced in the tailings dam,
especially when the pipe spacing was larger than 10 m. The change in the pipe spacing in a certain
range had no significant effect on the phreatic surface. When the pipe spacing decreased from 10 m
to 6 m, the location of the phreatic surface showed marginal sensitivity and increased by only 1.7 m
for a 6 m pipe spacing and by 2.5 m for an 8 m pipe spacing compared to a 10 m pipe spacing.
However, when the pipe spacing was increased from 10 m to 14 m, the increase in the free surface
was rapid, and the phreatic surface increased by 7.2 m and 10.6 m for the 12 m pipe spacing and 14
m pipe spacing, respectively. Therefore, the designed 10 m pipe spacing was suitable for the drainage
pipe arrangement.
Figure 16.
The comparison of the phreatic surface at a typical cross-section (
a
) for the cases with a
change in the permeability coefficient and with different pipe spacings (b).
4.4.5. Sensitivity Analysis of the Drainage Pipe Spacing
The seepage flow behaviors in the tailings dam with an increased height are usually related to
the spacing of the drainage pipes. If the drainage pipes are more densely installed, the elevation of
the phreatic surface can be more drastically lowered. However, with a decrease in the pipe spacing,
the construction becomes more difficult, and the construction costs increase. To design a reasonable
drainage pipe spacing, a spacing from 6 m to 14 m with an increment of 2 m was simulated to assess
the performance of the seepage behavior. Currently, the drainage pipe spacing was taken to be 10 m
according to the design requirements.
Appl. Sci. 2018,8, 1840 15 of 20
The numerical results with different pipe spacings are depicted in Figure 16b, indicating that
with a decrease in the pipe spacing, the phreatic surface was significantly reduced in the tailings
dam, especially when the pipe spacing was larger than 10 m. The change in the pipe spacing in a
certain range had no significant effect on the phreatic surface. When the pipe spacing decreased from
10 m to 6 m, the location of the phreatic surface showed marginal sensitivity and increased by only
1.7 m for a 6 m pipe spacing and by 2.5 m for an 8 m pipe spacing compared to a 10 m pipe spacing.
However, when the pipe spacing was increased from 10 m to 14 m, the increase in the free surface
was rapid, and the phreatic surface increased by 7.2 m and 10.6 m for the 12 m pipe spacing and 14 m
pipe spacing, respectively. Therefore, the designed 10 m pipe spacing was suitable for the drainage
pipe arrangement.
5. Stability Analysis
The stability of a slope depends on its geometry, its material properties, and the position of the
phreatic surface [
37
]. The geometry and the material properties of the Xigou tailings dam were obtained
according to the results of the geotechnical investigations and laboratory experiments, as listed in
Table 3. The previously calculated effect of the three-dimensional FEM was used to locate the phreatic
surface [
38
]. For simplicity, the stability of the tailings dam can be viewed as a two-dimensional
plane-strain problem, and the stability analysis can be performed using the Slope/w software packages
in the basis of saturated soil mechanism [
39
]. According to the Chinese national codes, ordinary rigid
LEMs, including the Swedish method of slices and a simplified Bishop method, are recommended to
obtain a factor of safety (FOS) and analyze the stability of tailings dams under different conditions.
(a) For the Swedish method of slices, the FOS is written as
Fs=
Σ[c0jbjsec αj+ (Wjcos αjujbjsec αj)tan φ0
j]
ΣWjsin αj
(7)
(b) For the simplified Bishop’s method of slices, the FOS is written as
Fs=
Σ[c0jbj+ (Wjujbj)tan φ0]1
mj
ΣWjsin αj+ΣQjej/R(8)
mj=cos αj+tan φ0
jsin αj
Fs(9)
where b
j
is the width of the jth slice;
αj
is the angle of the jth slice bottom with the horizontal slice; W
j
is the weight of the slice; c and
φ
are the effective cohesion and the effective angle of friction that
develop along the potential failure surface, respectively; and u
j
is the average pore water pressure
at the bottom of the jth slice; Q
j
is the horizontal inertial force; Ris radius of circular failure surface;
and ejis vertical height between Qjand the center of the failure circle.
To estimate the stability of the tailings dam, the FOSs of the heightened tailings dam were
calculated under various conditions, such as a normal water level, an extremely high water, and special
operations. The seepage-proof system played a significant role in the stability. For comparison,
the cases of no drainage and horizontal drainage were estimated. At the same time, considering the
randomness of the tailings drainage process and the uncertainty of sedimentation, the FOSs under
the condition of a change in the permeability coefficient were calculated. Under the seismic working
condition, the FOSs were obtained using a quasi-static method according to the National Code of
China [
31
]. An earthquake ground acceleration of 0.15 g was used based on the location of the mine,
which was classified as being in earthquake zone VII.
Appl. Sci. 2018,8, 1840 16 of 20
Table 3. The tests results of the physical and mechanical properties of the tailings samples.
Parameters Volume-Weight (kN/m3)Soil Indicators in Nature
Unity
Weight (γ)
Saturated Unity
Weight(γd)
Cohesion (c’)
(kPa)
Friction Angle
(φ’) ()
Moderately weathered crystal tuff 26.9 27.9 2000.0 38.0
Strongly weathered crystal tuff 24.5 25.5 50.0 27.0
Starter dam 21.0 21.9 18.0 24.0
Silty sand tailings 19.2 20.1 4.0 30.0
Silty soil tailings 19.9 20.9 8.0 27.0
Silty clay 19.7 20.6 24.0 20.0
Artificial clay I 21.0 20.8 18.0 24.0
Artificial clay II 22.0 21.7 12.0 20.0
The calculation results, presented in Figure 17 and Table 4, show that when the new drainage
system is implemented properly, the tailings dam is safe under a variety of working conditions, and the
safety factors, including the Swedish method of slices and the simplified Bishop’s method, meet the
requirements. When there was no drainage system, the slope was unstable under different working
conditions. If only the horizontal drainage system was used, the FOSs met the national standard under
the normal water level, while the FOSs were marginally lower than the value required by the national
code under the extremely high level; for the seismic working condition, the FOSs of the Swedish
method of slices and the simplified Bishop’s method were 1.106 and 1.165, respectively, and marginally
satisfied the national code. Therefore, the design of the new drainage system effectively reduced the
phreatic surface and enabled the higher tailings dam to meet the relevant national requirements for
sliding stability.
Table 4.
The calculated results of the FOSs (factor of safety) of the slope stability under different
working conditions.
Condition Case
Factor of Safety
The Ordinary Method
of Slices
Bishop’s Simplified
Method
Calculated Standard Calculated Standard
Normal
water level
No drainage a 1.235 1.25 1.268 1.35
Horizontal drainage b 1.321 1.25 1.362 1.35
New drainage c 1.542 1.25 1.677 1.35
Extremely
high water
No drainage d 1.063 1.15 1.126 1.25
Horizontal drainage e 1.142 1.15 1.236 1.25
New drainage f 1.521 1.15 1.580 1.25
kxreduced 1.5 times g 1.437 1.15 1.478 1.25
kyincreased 1.5 times h 1.415 1.15 1.456 1.25
Earthquake i 1.106 1.05 1.165 1.15
Appl. Sci. 2018,8, 1840 17 of 20
Appl. Sci. 2018, 8, 1840 17 of 20
Figure 17. The stability analysis results for the tailings dam (cases ah).
Figure 17. The stability analysis results for the tailings dam (cases ah).
6. Conclusions
To satisfy the needs of the mining industry for extending its tailings pond storage capacity, a
new drainage method was suggested to effectively decrease the phreatic surface. The proposed
Appl. Sci. 2018,8, 1840 18 of 20
drainage system was successfully implemented in designing a seepage-proof system for the higher
Xigou tailings dam where the seepage damage may increase. In this study, the MPSO-BP method was
used to back-analyze the real permeability coefficients at the site, and a systematic case study of the
seepage field analysis was performed using the substructure technique and the variational inequality
formulation of Signorini’s type in a three-dimensional finite element model. The major conclusions are
summarized as follows:
1.
Compared with only setting horizontal drainage pipes or with no drainage pipes, the performance
of the new drainage system not only effectively reduced the seepage pressure and depressed
the water table but also improved the overall groundwater movement trend and the local
seepage field.
2.
A stochastic simulation analysis was carried out for analyzing the local failure of the new drainage
system, in which 5% and 10% of local blockages have a marginal influence on the seepage field,
and the upper and lower envelopes show a lower deviation from the free surface without local
failure. The maximum seepage gradients reached 1.43 for the 5% local failure case and 1.57 for
the 10% local failure case, but these values were still within the permissive seepage gradient.
3.
The sensitivity analysis of the tailings material showed that the performance of the seepage control
system was insensitive to the change in the horizontal and vertical permeability coefficients.
The sensitivity analysis of the drainage spacing indicated that the designed 10 m pipe spacing
was suitable for the drainage pipe arrangement.
4.
Utilizing the LEM, the potential failure surface was evaluated, and the corresponding FOSs
were obtained at different water levels. Comparing the FOSs under various drainage system
conditions, it was obvious that the cases without drainage and with horizontal drainage seemed
to lead to an unstable tailings dam under the normal water level or the extremely high water
level. However, when the new drainage system was implemented properly, the tailings dam was
safe under a variety of working conditions.
Author Contributions:
C.L. and L.X. designed the framework and wrote the manuscript. C.L. and K.Z. collected
the data. C.L. and Z.S. mainly responsible for the simulation analysis. C.L. and L.G. verified the results of our wor.
C.L. and T.J. discussed the results and contributed to the final manuscript.
Funding:
This research was funded by the Project of the National Natural Science Foundation of China/Yalong
River Joint Fund grant number U1765205, the Project of the National Natural Science Foundation of China grant
number 51609073, a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education
Institutions grant number YS11001, and the CRSRI Open Research Program grant number CKWV2017515/KY.
Conflicts of Interest: The authors declare no conflict of interest.
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2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... At the same time in the process of groundwater seepage is often accompanied by seepage erosion problems, mainly manifested as the fine particles in the soil body under the action of infiltration along the pore channels between the coarse particles of the soil body to migrate and lose, the soil skeleton will gradually be hollowed out between the soil skeleton structure, the permeability of the soil body, the density of the soil body and other aspects [8][9][10][11]. In addition, groundwater seepage will also cause local settlement of soil and soil stress redistribution [12][13]. The changes of seepage and stress fields not only affect the calculation of lateral pressure of the enclosure structure, but may even cause more serious engineering accidents, thus affecting the stability of the whole foundation project [14][15]. ...
... Strength reduction method. In the computational analysis of the strength discounting method [23], the strength parameters of the geotechnical body are discounted using equation (13): ...
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the development of geotechnical engineering projects and the quality of engineering surveys. In this paper, tunnel engineering is selected as the foundation engineering project under study to investigate the specific influence of groundwater seepage in the process of tunnel excavation. The flow-solid coupling model is constructed, and the safety coefficients of the tunnel project in different situations are calculated based on the strength discount method and the ultimate strain method. Numerical analysis software is used to establish the calculation model of the influence of groundwater seepage on the stability of tunnel excavation. The displacement of surrounding rock around the hole is selected as the evaluation index of tunnel stability, and the effect of groundwater seepage on each index is calculated by the analysis software. The study shows that groundwater seepage will make the rock body around the palm face after tunnel excavation change significantly from the pre-excavation bending. The seepage increases the displacement of the surrounding rock, and the coefficient of increase of vertical displacement is larger than the coefficient of increase of horizontal displacement. At the same time, the flow-solid coupling effect of groundwater seepage increases the surrounding rock stress, and the increase coefficients of each key point of the tunnel excavation are between 1.11-1.50, resulting in significant deformation of the bottom of the arch, the top of the arch, and the arch girdle. In addition, the groundwater seepage makes the tunnel safety coefficient decrease from 9.03 to 5.18, which significantly causes the decrease of tunnel stability.
... The slotted pipe wrapped by steel wire mesh, as drainage facilities, has been widely used in tailing dam projects (Liu et al. 2018;Cui et al. 2023). Compared to traditional floral tube, drain holes of the slotted pipe are designed in rectangular grooves to avoid direct contact with tailing, which not only increase the catchment area but also markedly avoid the clogging of drain holes (Yang et al. 2021;Ghane et al. 2022). ...
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The slotted pipe wrapped by steel wire mesh, as a common type of drainage facilities in tailing dam, not only reduce the phreatic line effectually, but also can reinforce the dam, like friction piles protecting slope. In this study, the interfacial shearing properties of tailing-steel wire mesh interface are investigated by a direct shear test first, as well as the influence of aperture size. Moreover, the evolution law of interface microscopic behaviour is studied by a discrete element method (DEM) simulation. The results indicate that the shear strength experience three changing processes with increasing the shear displacement, i.e. linear increasing stage, nonlinear hardening stage and stable stage. The interface shear strength under different aperture size can be regarded as following Mohr–Coulomb shear failure criterion. The interfacial cohesion increase and interfacial friction coefficient increase first and then decrease with the aperture size. The interface initial shear stiffness increases first and then decreases with aperture sizes. The vertical shear deformation suffers three development stages with increasing the shear displacement, i.e. slight shear shrinkage stage, significant shear expansion stage, and stable stage. The shear expansion increases first and then decreases with aperture sizes under a given normal stress.
... The drain pipe wrapped in steel wire mesh has seen widespread application in geotechnical and hydraulic engineering, especially in fine tailings pond projects [1][2][3]. A notable advantage of employing these drainage pipes lies in their dual functionality: serving not only as drainage facilities but also as embedded reinforcements [4,5]. ...
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The drain pipe wrapped in steel wire mesh serves a dual purpose of drainage and reinforcement in tailings pond projects. The self-filtering layer that develops upstream of the steel wire mesh influences the reinforcement characteristics of the drainage pipe. This study first conducts interfacial shearing experiments to explore the impact of the self-filtering layer on the shearing properties between tailings and the steel wire mesh. An exponential interface constitutive model is then proposed to delineate the shear stress–displacement relationship. Finally, through finite element simulations, the study assesses the effect of the self-filtering layer on the load-bearing behavior of the drain pipe, considering the interactive dynamics between the tailings and the steel wire mesh. The results reveal that the interfacial shear strength, across varying median particle sizes of the self-filtering layer, adheres to Mohr–Coulomb strength theory. Specifically, as the median particle size of the self-filtering layer increases, interfacial cohesion diminishes while the friction coefficient rises. The initial shear stiffness demonstrates a linear increase with the median particle size. With the presence of the self-filtering layer, the pull-out resistance of the drainage pipe can be enhanced by up to 26%. Moreover, the self-filtering layer significantly affects the distribution of negative skin friction. This research enhances the safety assessment of tailings ponds by providing crucial insights and solutions, emphasizing the influence of the self-filtering layer on the bearing behavior of the drain pipe.
... Yonghao Yang et al. [36] conducted a case study on the application of geotextiles in tailings dams, and the results showed that this method was effective for seepage control during construction. Chong Liu et al. [37] proposed a novel drainage system for seepage and stability analyses of tailings dams. This new drainage system could reduce the infiltration line and meet dam stability requirements. ...
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Background: It is adverse for the safety of a tailings dam to use fine-grained tailings as the materials for a high tailings dam because of the low penetration coefficient, the slow consolidating velocity, and the bad physical mechanical property. Furthermore, with the influence of complicated geography conditions, the phreatic line will be increased enormously when encountering special conditions, which directly affect the safe operation of the tailings dam. Methods: In this study, based on the engineering, geological, and hydrogeological conditions and survey results of a tailings dam, a 210 m fine-grained tailings dam located in three gullies was selected and used to simulate the three-dimensional seepage field of a tailings dam under a steady saturated state by using the finite element software MIDAS GTS. The permeability coefficient was inverted, the seepage field of the project under different working conditions was simulated, and the position of the phreatic line was obtained. The controlled position of phreatic lines was determined by combining the seepage field with the stability requirements. Results: Back analysis could accurately reflect the actual permeability coefficient of each partition of tailings dams. Due to the multiple areas of seepage accumulation, large valley corners, and narrowing of the dam axis, the phreatic line of the shoulder region was elevated by 2~3 m compared to the surrounding area and was thereby the most critical region of the tailings dam seepage control. The stability requirements and minimum controlled position of the phreatic line requirements could be met when the controlled position of the phreatic line was 23 m. Conclusion: This study revealed the key areas and reasons why the tailings dam’s phreatic line is prone to be uplifted under complicated geography conditions. It was very critical to control the local phreatic line by adopting local horizontal seepage drainage measures or radiation wells in the key areas of the tailings dam to ensure the safety of the tailings dam. In addition to strengthening the daily monitoring of the key areas and the exfiltration facilities of the tailings dam, it is recommended to carry out determination tests of the permeability coefficient and particle size at regular intervals. The findings could provide countermeasures for seepage control.
... To prevent failures and eventual environmental impacts, the tailings dams have to be designed to satisfy rigorous criteria for long-term stability with a minimal maintenance effort. A dam's safety and stability can be analysed using coupled fluid-solid mathematic models that consider steady seepage with conventional flow net analysis [2,3] and a finite element approach to the assessment of the stress field based on reliable constitutive material models [4]. ENGINEERING A simple statistical analysis indicates that, over the last ten years, the number of destructive failures has been of a similar rate of occurrence as those ten years before [5]. ...
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The study investigates the impact of reservoir lining on the hydrodynamic stability of a tailings dam. A 3D coupled fluid-solid finite element model was used for detailed seepage analyses based on conventional flow-net and steady seepage conditions. Pore pressure, stationary seepage velocities, static liquefaction and the ratio between manifested and critical hydraulic gradients were predicted under three different lining conditions. The highest potential for internal erosion and heave was observed in the lined reservoir and starter dam scenario. Although there are environmental benefits, the incorporation of liners in dam design requires a comprehensive engineering assessment of the negative hydrodynamic effects.
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This paper presents the results of numerical modeling of the joint filtration-deformation problem for a storage dam taking into account its construction and filling of the pond bowl in 3 stages. Two variants of the structure operation were considered: with the tubular drainage operating and excluded from operation. According to the results of researches the stability of the structure and parameters of filtration regime were evaluated. Recommendations on ensuring reliability and safety of the structure are formulated.
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Installing drain pipes is an effective way to control the height of the saturation line to improve the stability of tailings dams in mine projects. The filtration and clogging behaviors of filters wrapped around drain pipes have a great impact on their drainage capacity. This article presents results from radial filtration tests with drain pipes wrapped by filtration materials in fine-grained tailings. In the tests, three fibrous filters with different production technologies were used under different hydraulic conditions. The test results were interpreted based on the drainage characteristics of the system, the clogging characteristics and mechanism of each filter after testing, and the particle gradation passing through each filter. The results showed that the needle-punched nonwoven geotextiles had good soil retention properties and poor drainage properties, and one denser cake layer was formed upstream as the experiment progressed. For the heat-bonded nonwoven geotextiles with larger apertures and thinner thicknesses, there was a slight degree of clogging and acceptable drainage capacity. Steel wire mesh with a thinner thickness and homogeneous mesh structure seemed to offer the best anti-clogging and drainage performance by retaining coarse particles and washing out fine particles. Thus, it is inferred that drain pipes wrapped with steel wire mesh are a good choice for alleviating the physical clogging problem.
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High dams generally suffer from higher seepage risks in their foundations, and seepage control is an important technology for limiting the amount of leakage and improving the stability of the foundations. In this study, a procedure was proposed for optimization design of seepage control system in large-scale hydropower projects, which relies on sufficient characterization of site conditions and proper quantification of the performance of the seepage control system. The proposed procedure was applied to the design of seepage control system in the Mengdigou Hydropower Station consisting of a double-curvature arch dam 201 m in height. An optimized layout of the seepage control system, including the extended length of grout curtain, the rows of grouting holes and the spacing of drainage holes, was suggested. The proposed procedure provides a guide with lower risk and higher confidence for performance assessment and optimization design of seepage control systems in high dam engineering.
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Creep deformation of rockfill and overburden affect anti-seepage systems, such as face slabs, toe slabs, and peripheral joints, which may cause structural damage, particularly in a high concrete-faced rockfill dam (CFRD) on a deep overburden layer. The deformation mechanism of rockfills is complex. It is difficult to determine the creep deformation characteristics completely with creep test. Back analysis based on measured data inversion is an effective approach to study the long-term deformation characteristics of CFRD. In this paper, a new deformation back analysis method called MPSO-BP, which integrates a modified particle swarm optimization algorithm and neural network simulator, is presented to reverse the creep model parameters of Jiudianxia CFRD based on the plate load test, pressure test, and large-scale triaxial test. The creep model parameters of rockfill and overburden are applied to analyze and forecast the long-term deformation characteristics of the CFRD by using 3D nonlinear finite element numerical analysis method. Results show that the calculated creep deformations are agreed with the monitoring data. The back analysis method and the inversion parameters are demonstrated to be reasonable. The deformation of the CFRD tends to stabilize after the dam reservoir reaches its tenth year of operation.
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Safe disposal of contaminated tailings is recognized as the single largest environmental challenge facing the mining industry worldwide. Because suitable land for a new tailings pond is becoming rare and expensive, more and more mine operators tend to heighten the existing tailings dams to improve their storage capacity. However, this could lead to a decrease in the stability of the tailings dams. Based on comprehensive geotechnical investigations of a tailings dam in China, this paper presents a successful case study on heightening an existing tailings dam and extending its operational lifetime using a new drainage technique named the upward bending drain pipes system. The proposed system has 60 upward bending drain pipes arranged in the dam wall. The drain pipes are designed with combinations of slots and holes. With this arrangement, seepage on the hole surfaces changes to seepage on the slot surface, which increases the seepage capability by about 20 times compared with traditional drain systems. Based on a dam stability analysis, it is found that the value of the factor of safety of the dam can be improved around 20 % after slope drainage at an elevation of 2015 m. By using the proposed drainage system, the height of the tailings dam of this mine can be increased from 45 m (elevation 2015 m) up to 60 m (elevation 2030 m), which will increase by 8 million cubic meters the wet tailings storage and will satisfy mine operation for 5 years.
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The Lingshan gold tailings dam was constructed using the upstream method. To ensure that the Lingshan tailings pond is safe in its current condition and during future operation, a stability analysis was necessary. In this study, the performance of the tailings material was analyzed based on such geotechnical parameters as the grain size distribution, cyclic triaxial strength, and undrained triaxial compressive strength. First, the stability of the Lingshan tailings embankment was computed using the limit equilibrium method with the Slope/w software package. The dynamic response was later analyzed using the Quake/w software package, and the acceleration history at the crest, the dynamic liquefaction zone, and the factors of stability during the earthquake were obtained. Based on this dynamic analysis, the embankment with a crest at an elevation of 109 m (elev. 109 m) is stable after seismic loading, but the embankment with a crest at an elevation of 120 m (elev. 120 m) is not stable.
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On a global scale demand for the products of the extractive industries is ever increasing. Extraction of the targeted resource results in the concurrent production of a significant volume of waste material, including tailings, which are mixtures of crushed rock and processing fluids from mills, washeries or concentrators that remain after the extraction of economic metals, minerals, mineral fuels or coal. The volume of tailings is normally far in excess of the liberated resource, and the tailings often contain potentially hazardous contaminants. A priority for a reasonable and responsible mining organization must be to proactively isolate the tailings so as to forestall them from entering groundwaters, rivers, lakes and the wind. There is ample evidence that, should such tailings enter these environments they may contaminate food chains and drinking water. Furthermore, the tailings undergo physical and chemical change after they have been deposited. The chemical changes are most often a function of exposure to atmospheric oxidation and tends to make previously, perhaps safely held contaminants mobile and available. If the tailings are stored under water, contact with the atmosphere is substantially reduced, thereby forestalling oxygen-mediated chemical change. It is therefore accepted practice for tailings to be stored in isolated impoundments under water and behind dams. However, these dams frequently fail, releasing enormous quantities of tailings into river catchments. These accidents pose a serious threat to animal and human health and are of concern for extractive industries and the wider community. It is therefore of importance to understand the nature of the material held within these dams, what best safety practice is for these structures and, should the worst happen, what adverse effects such accidents might have on the wider environment and how these might be mitigated. This paper reviews these factors, covering the characteristics, types and magnitudes, environmental impacts, and remediation of mine tailings dam failures.
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Seepage flow through soils, rocks and geotechnical structures has a great influence on their stabilities and performances, and seepage control is a critical technological issue in engineering practices. The physical mechanisms associated with various engineering measures for seepage control are investigated from a new perspective within the framework of continuum mechanics; and an equation-based classification of seepage control mechanisms is proposed according to their roles in the mathematical models for seepage flow, including control mechanisms by coupled processes, initial states, boundary conditions and hydraulic properties. The effects of each mechanism on seepage control are illustrated with examples in hydroelectric engineering and radioactive waste disposal, and hence the reasonability of classification is demonstrated. Advice on performance assessment and optimization design of the seepage control systems in geotechnical engineering is provided, and the suggested procedure would serve as a useful guidance for cost-effective control of seepage flow in various engineering practices.
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This paper evaluates the feasibility and stability of the construction of a super-large-scale filtered tailings storage facility on coal-mining subsidence land. Properties of the coal gangue were analyzed by laboratory tests and change laws of the land subsidence were observed in the field. Comparisons of slope stability between the super large-scale filtered tailings storage facility and conventional tailings impoundment in normal, flooded, sustained rainfall, and strong earthquake conditions were conducted using Slide software. The results show that the filtered tailings storage facility has less chance of failure, lower seepage probability, and smaller impact scope than conventional tailings impoundment. With little free water in filtered tailings, the average slope safety factors of filtered tailings storage are as high as 1.78 in normal, 1.73 in flood, 1.18 in sustained rainfall, and 1.11 in a magnitude-8.0 earthquake. As an environmentally friendly, costeffective chain-cutting disaster mitigation measure, filtered tailings disposal shows great advantages in reducing tailing emissions, dam construction scale, and operational costs, improving water conservation, dam stability, and service life.
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Due to being influenced by many factors, tailings dam saturation line comes to be complex and non-linear, which is difficult to be predicted. To solve this problem, genetic neural network algorithm is proposed to build saturation line forecasting model. Some factors are identified as the root causes for saturation line change, and they are the input nodes of the neural network which is able to analyze data adaptively. Genetic algorithm, as a global searching algorithm, is used to optimize weights of BP neural network. By the proposed method, saturation line change tendency can be obtained faster and more accurately. An experiment is performed to test the advance and feasibility of the method.
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This article is taken from the final report of the independent body of experts commissioned by the government of Guyana to establish the cause of the failure. It explains what happened, why and how to avoid it in the future. The failure circumstances were unusual in that the dam did not physically breach. Rather, the core of the dam completely lost its integrity, releasing nearly all of the contained mill effluent but little of the tailings solids. The failure could have been prevented by applying existing design and construction technology. The tailings dam cannot be restored to operation. And the impoundment with its remaining slimes will be reclaimed for safe closure. New replacement dams at Omai adopt a different design containing none of the features responsible for failure of the old dam. The Omai experience should not be taken as a reflection on tailings management practices in the industry at large. The technology exists to prevent the kind of failure that occurred at Omai. By promoting a better awareness of this technology simlar occurrences can be prevented.