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Quality Control Specifications for Large Earthworks Projects

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QUALITY CONTROL SPECIFICATIONS FOR
LARGE EARTHWORKS PROJECTS
Burt Look
Sinclair Knight Merz Pty Ltd, 32 Cordelia Street, South Brisbane,
QLd 4101, Australia. E-mail: blook@globalskm.com
Density testing has been applied widely in quality control, yet because of its
widespread usage, this now acts as an impediment to the development of the
industry. The compaction model has many underlying assumptions. These include
translating the words “optimum” and “maximum” to another English word “best”,
when the equilibrium condition is more important. The emphasis on density has
led to the belief that it is the key parameter, yet it is a second order assessment
parameter, i.e. we assume an increased density means an increased strength or
modulus. Although technology has now advanced to measure those parameters
directly, we still remain with density testing as the main quality evaluation parame-
ter because of our longstanding experience. Applying a quality control specification
involves understanding the underlying assumptions, as well as associated issues
on the depth of the compacted layers and the application of statistical schemes for
large earthwork projects.
Keywords:
Quality control, Earthworks, Compaction, CBR, Statistics.
1. INTRODUCTION
The Australian Standard (AS 3798–2007) on Earthworks is specific to commercial and resi-
dential developments. Most road and rail authorities have their own earthworks standards
(eg Austroads, 2009). Design and construction concepts for earthworks construction can be
found in TRB (1990) and Ervin (1993) for earthworks specifications and control.
Proctor introduced the fundamentals of compaction in the 1930s through the standard
laboratory compaction test. This test showed the change in density when compacting at
various water contents with a maximum dry density (MDD) and corresponding optimum
moisture content (OMC). These compaction concepts are universally taught in courses in
soil mechanics, yet, this simple laboratory model has many underlying assumptions. These
include:
The Optimum and Maximum refer to a peak on a graph and the corresponding
moisture content a very useful reference point, but not always the best condition
The laboratory model may be different to the field process or bulk material used.
Density of a particular layer is therefore dependent on the underlying layer
A laboratory compacted sample tested for its California Bearing Ratio (CBR) may
not represent the CBR in the field even at a given density and moisture content
Proceedings of the International Conference on Ground Improvement and Ground Control
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Copyright © 2012 by Research Publishing Services. All rights reserved.
ISBN: 978-981-07-3560-9 :: doi:10.3850/978-981-07-3560-9 04-0413 1113
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Proceedings of the International Conference on Ground Improvement and Ground Control
The CBR was developed by Porter in 1938 using Proctor’s Standard compaction curve.
The modified compaction test was introduced in the late 1940s by the U.S. Army Corps of
Engineers to represent the compaction required for aircraft loading. This increased effort
increased the MDD, while decreasing the OMC. The modified CBR values then also
applied.
Because the modified test came later and was associated with heavier equipment, there is
an assumption that it is better. However, the 1940s ”heavy” equipment does not
represent that of the 1960s or 1980s or 2000s. No one is suggesting we should be using
the modified rev 4 compaction tests. The modified test while relevant to pavements and
granular material is a dis-benefit for use on clay subgrades, where a modified soaked CBR
test can produce CBRs over 10%. Such lab values would be unrepresentative of what can
be achieved in the field.
While compaction testing is the key tool in most earthworks projects, same judgment is
required in assessment of the ”quality” of the earthworks. Its use (along with the CBR test)
represents our comfort with its historical association rather than its relevance to the 21st
century. This forms the central theme of this paper. The primary objective of compaction is
to attain a certain minimum strength, compressibility, permeability or volume change. The
density per se is of little interest as a key design parameter. A density however suggests
one of the other characteristics have been met e.g. higher density means higher strength or
modulus.
2. COMPACTION PROCESS ASSUMPTIONS
2.1.
Laboratory Compaction Model Compared with Field Characteristics
The MDD and OMC provide a good reference point by comparing an ”ideal” with the
compacted density in the field. The following are some compaction model assumptions.
The laboratory compaction test is an impact process, where a hammer is dropped several
times on a soil sample in a mold. In the field compaction occurs by static load, vibration
and kneading action. Impact (non round) rollers are used only on specific cases. Thus the
laboratory and field process is different.
Discarding a high percentage of oversize invalidates the test. This particle size effect and
importance is conveyed in the testing standards and AS3798 by stating the compaction
applies for soils less than 20% passing the 37.5 mm sieve after field compaction.
The test is confined within a steel mould and plate. This means that it is not appli-
cable where there is not a significant confinement e.g. at edge of embankments, adja-
cent to trenches. The steel plate means there is an assumption of rigidity at the base.
A minimum reaction modulus is implied for the layer to achieve its density. This concept
becomes important for CBR testing. Hammitt (1970) showed the CBR (base course) to CBR
(subgrade) ratio needs to be 5.2 on average (but this value ranged from 1.7 to 17) for the
laboratory CBR to be achieved in the field. Without this rigid base, material is wasted by
being pushed into the underlying layer.
2.2.
Optimum Moisture Content vs. Equilibrium Moisture Content
The current emphasis is compacting to the OMC and MDD. These are very useful refer-
ence points, but it is the equilibrium density and equilibrium moisture content (EMC) that
Quality Control Specifications for Large Earthworks Projects
1115
is more important (Look et al., 1992; Look et al., 1994; and Look, 2005). The OMC may
be a construction expedient, but does not always represent a long term value. For highly
expansive soils with a high or low rainfall environment, soils compacted at optimum is
likely to swell or shrink within 2 to 5 years, with an accompanying loss of strength and
volume change leading to cracking and uneven riding surfaces. Thus the design CBR must
be representative of the EMC and equilibrium density.
Burman et al. (2008) highlighted experiences with post-construction retesting of engi-
neered clay fills where later testing at several sites did not produce the as constructed test
values, even when the original work had tests results which provided the specified level
of compaction.
3. COMPACTION SPECIFICATION THE INTENT
Compaction control occurs by either method specifications or end product specifications.
The latter is the more common approach in Australia, and relies on the relative compaction
(RC) achieved. This is the ratio of the field density to the laboratory MDD.
Tynan and Morris (1970) show that for a 10 ton roller, 8 passes @ OMC (Standard) can
achieve 100% MDD. However the MDD can still be achieved at other moisture contents but
at a higher No. of passes. A specified density can be achieved at various moisture contents
and passes for given equipment. The moisture content (OMC) is simply an indicator at the
likely value that can make this happen efficiently. But this varies between materials and
equipment, where the field process is different from the laboratory compaction process.
Density is not directly used in design. The design of a building pad for example is based
on the strength value. Density is used as the control parameter because it is an indica-
tor an index parameter that is a relatively low cost test that can be easily applied in
practice. The use of direct strength or stiffness control tests, is typically more expensive,
and is less familiar to inspectors and construction engineers. Such testing also introduces
the complication that these properties are dependent on both moisture content and den-
sity. The understanding is that while the OMC is used as control parameter, it allows the
MDD to be efficiently obtained. However the moisture content does change with time.
Look (2005) shows that change is significant for materials with a weighted plasticity index
(WPI) >3200, but with little change for WPI <1200.
Strength can be measured directly with Plate Loading testing and indirectly with pen-
etrometers, falling weight deflectometers, etc. Intelligent compaction which assesses the
modulus values directly is discussed in Briaud (2003). These in situ strength and modu-
lus measurements are more relevant to the designer than the various density compaction
controls. In a road pavement for example, the resilient modulus value is used in design.
This may be established from correlations with the CBR values (one step removed). Yet in
general, only density (two steps removed) is used as a control parameter.
The CBR is extensively used as a design parameter. Typically in design the lab CBR is
based on a 98% target density at OMC. Yet this target many not be achieved as lab results
can vary from 95% to 102% MDD, with a corresponding CBR of 8% or 18%, respectively.
Yet the specifications for constructions may have 90% or 95% MDD target compaction. This
shows there is a mismatch between specifications and design values used. Compacting dry
of OMC can significantly increase the CBR - which can provide good results for proof roll
testing, but may not be representative of the equilibrium condition.
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Proceedings of the International Conference on Ground Improvement and Ground Control
4. DENSITY MEASUREMENT - ITS EFFECT ON SPECIFICATIONS
4.1.
General
Current specifications typically use a 300 mm limitation on lift thickness, while also asking
for a compaction requirement eg 95% MDD. In effect 2 separate criteria are being applied.
The compaction lift limitation provides confidence that a minimum allowable relative com-
paction level has been achieved, and this corresponds to the stress envelope for light to
medium compaction equipment. Larger equipment has a larger zone of influence, and can
therefore compact to a deeper level and still achieve similar compaction results. However
if a light equipment is used in clay, the 250 mm is probably is too deep a lift and 100 mm
thickness is required to achieve the required 95% RC (say). Therefore specifying a lift thick-
ness is not optimising the equipment on site, and can be too little or too much.
4.2.
Lift Thickness
A 200 mm to 300 mm limit lift thickness is a common compaction practice for road authori-
ties across Australia and internationally - but that thickness is representative of equipment
50 years ago. The testing limitation of 200 mm to 300 mm of the sand cone and nuclear
density testing equipment also means our QC requires we are limited to this thickness for
testing.
The 300 mm maximum loose lift limit thickness has a direct impact on contractor time
and cost for embankment construction. Modern day earthmoving equipment has become
larger and heavier, and with specialized high-energy compaction equipment developed
by a number of equipment manufacturers. Such equipment is often promoted as being
capable of compacting soil layers of over 2 metres in thickness (since the 1980s).
We (as an industry) should recognize the need to review policies and requirements for lift
thickness based on current construction practices and equipment. However, any changes to
current requirements must be based on sound theoretical analyses and actual field monitor-
ing. Projects should rationalize the lift thickness requirement which is currently an imped-
iment to the potential production output possible from modern compaction equipment.
The current lift thickness is based on the production rates of the 1960s when 100 m3/hr
(HRB Bulletin, 1960) was an upper bound. Current maximum lift thickness; represent less
than 20% of the production cycle. However, with lift thickness possible above 1.0 m, and
with the current testing procedures maintained, the testing and reinstatement times could
be over 80% of the production time. The current potential of modern day equipments is
therefore not being realised.
5. PRODUCTION IMPROVEMENTS AND TESTING BOTTLENECKS
The times associated with placing, testing and reinstating is compared in Figure 1. This
shows that as lift thickness increases, then the testing requirement now represents a
significant part of the cycle. At the current production rates (lifts not exceeding 300 mm),
the testing represents 15% of the total time. This increases to 42% for the 0.5 m lift thickness.
This suggests that for compaction above 1.0 m lift thickness and using the conven-
tional testing approach that the testing/reinstatement phase is likely to exceed 80% of the
total time required with less than 20% of total time devoted to the placing with the com-
paction equipments. Conventional testing procedures therefore provide delays where high
Quality Control Specifications for Large Earthworks Projects
1117
Figure 1. Typical time (hrs) of various activities for 4,000 m3with 8 No. sand replacement tests.
Table 1. Comparison of the CBR values for the design sections.
Chainage n Value Distribution Normal Log Normal
51440–64440 95 10 Percentile CBR 1.7% 2.8%
20 Percentile CBR 2.9% 4.0%
Average CBR (50 percentile) 11.5% 8.2%
51440–54940 31 10 Percentile CBR 0.7% 3.0%
20 Percentile CBR 3.4% 3.8%
Average CBR (50 percentile) 8.6% 6.6%
54940–56440 6 10 Percentile CBR 11% 15%
20 Percentile CBR 17% 18%
Average CBR (50 percentile) 30% 25%
56440–59640 37 10 Percentile CBR 2.7% 2.2%
20 Percentile CBR 1.6% 3.2%
Average CBR (50 percentile) 9.9% 6.8%
59640–64440 21 10 Percentile CBR 1.3% 4.0%
20 Percentile CBR 5.5% 5.7%
Average CBR (50 percentile) 14% 11%
production rates are possible. Other techniques need to be considered for such large earth-
works projects and /or the use of trials.
6. QUALITY CONTROL
AS3798 (2007) describes the characteristic values applicable for statistical acceptance
schemes. While not stated it infers Lower characteristic value (LCV) and a normal dis-
tribution. The LCV is derived from the Mean and Standard Deviation and a “constant”
(k) which depends on the proportion defective, the number of values and the contrac-
tor’s risk. Many standards suggest a value of k = 1.3, but this assumes 10% defective
(90% confidence) is adequate. For minor and local roads this is too tight a specification.
Another assumption is for a Normal distribution statistical model. This may be a reason-
able assumption in density testing, but not for other design values such as CBR or strength
parameters, as shown in the following case study.
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Proceedings of the International Conference on Ground Improvement and Ground Control
Look (2009) discussed a case study over a 13.2 km alignment. The normal and log nor-
mal distribution functions are compared in Table 1 to illustrate the pitfalls in using the
normal distribution. Negative values would result for 10% defective for a normal distribu-
tion, whether for the whole road length or for design sections. Yet for major highways and
structural fills any statistical scheme would typically be targeting 10% values. A better fit
distribution function such as log-normal distribution function would not produce that neg-
ative value possibility. Thus many practitioners then abandon the statistical model because
of the negative value and rely on their judgment in arriving at a characteristic value.
7. SUMMARY
The laboratory compaction model, while an excellent reference point may not represent the
material placement target. There is a mis-match between the compaction - testing process
and the design intent.
There is a need to review policies and requirements for lift thickness based on cur-
rent construction practices and equipment. However, any changes to current requirements
must be based on sound theoretical analyses and actual field monitoring. The current con-
struction equipment specifications and quality control specifications are mis matched
especially for large earthworks projects.
The use of a statistical prediction model for CBR design value requires a non normal
distribution function be used, especially at risk levels where the percentage defective is
required to be less than 20%. Assuming a normal distribution produces dubious results as
evident for the 10% defective risk assessment.
REFERENCES
1. Australian Standards AS3798 (2007). Guidelines on earthworks for commercial and residential
development. Standards Australia AS3798.
2. Austroads (2009). Guide to pavement technology: part 4I - Earthwork materials. Austroads
publication No. AGPT04I/09.
3. Bomag (2001). Soil and Asphalt Compaction. Technical Brochure.
4. Briaud, J L (2003). Intelligent compaction: Overview and research needs. Texas A &M University.
5. Burman B.C, Mostyn G.R. and Piccolo D. (2008), Experiences with post-construction retesting of
engineered clay fills, Australian Geomechanics Journal, Volume 43, No 4, pp 1–29.
6. Ervin M.C. (1993). Specification and control of earthworks. Proceedings of the Conference
Engineered Fills held at Newcastle upon Tyne. Edited by BG Clarke, CFP Jones and AIB Moffat,
Thomas Telford Publications.
7. Hammitt, G.M. (1970). Thickness requirement for unsurfaced roads and airfields, bare base
support. Report S –705, U.S. Army Engineering Waterways, Experiment Station, Vicksburg.
8. Johnson A.W. and Salberg J.R. (1960). Factors that influence field compaction of soils: compaction
effects of field equipment. Highway Research Board 272
9. Look B G, Reeves I N and Williams D J (1994). Development of a specification for expansive clay
road embankments. 17th Australian Road Research Board Conference, August, Part 2, pp 249–264.
10. Look B G (2005). Equilibrium Moisture Content of volumetrically active clay earthworks in
Queensland. Australian Geomechanics Journal, Vol 40, No. 3, pp 55–66.
11. Look B G (2009). Spatial and statistical distribution models using the CBR tests. Australian
Geomechanics Journal, Vol 44, pp 37–48.
12. Transportation Research Board (1990). Guide to Earthwork Construction. State of the Art Report
No. 8, National Research Council.
13. Tynan A.E. and Morris P.O. (1970). The performance of three heavy class rollers in compacting
a medium clay. Proceedings of the 5th Australian Research Board Conference, Canberra, Volume 5,
Part 5, pp. 147–164.
... To measure strength or modulus and then correlate back to an index test shows how tradition encourages this force fit from a primary to the 2 nd order index parameter. Look (2012Look ( , 2016 discuss some of the underlying assumptions in the traditional QA compaction model. Density is only an indicator of strength or modulus. ...
... A lognormal is usually more appropriate for geotechnical data once the coefficient of variation exceeds 25% based on goodness of fit tests (Look, 2009;2012;2015). ...
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Soil and Asphalt Compaction
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Bomag (2001). Soil and Asphalt Compaction. Technical Brochure.
Intelligent compaction: Overview and research needs
  • J Briaud
Briaud, J L (2003). Intelligent compaction: Overview and research needs. Texas A &M University.
Specification and control of earthworks
  • M C Ervin
Ervin M.C. (1993). Specification and control of earthworks. Proceedings of the Conference Engineered Fills held at Newcastle upon Tyne. Edited by BG Clarke, CFP Jones and AIB Moffat, Thomas Telford Publications.