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Leaning Tower of Pisa: Recent Studies on Dynamic Response and Soil-Structure Interaction

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The Leaning Bell Tower of Pisa has been included in the list of the World Heritage Sites by UNESCO since 1987. Over the last 20 years, the Tower has successfully undergone a number of interventions to reduce its inclination. The Tower has also been equipped with a sensor network for seismic monitoring. In this study, preliminary results on the dynamic behavior of the monument are presented, including a review of historical seismicity in the region, identification of vibrational modes, definition of seismic input, site response analysis, and seismic response accounting for soil-structure interaction. This includes calibration of the dynamic impedances of the foundation to match the measured natural frequencies. The study highlights the importance of soil-structure interaction in the survival of the Tower during a number of strong seismic events since the middle ages. Full Journal Paper (Published on Earthquake Spectra): https://bit.ly/2XlWe91
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LEANING TOWER OF PISA: RECENT STUDIES ON DYNAMIC
RESPONSE AND SOIL-STRUCTURE INTERACTION
Gabriele FIORENTINO
1
, Davide LAVORATO
2
, Giuseppe QUARANTA
3
, Alessandro
PAGLIAROLI
4
, Giorgia CARLUCCI
5
, George MYLONAKIS
6
, Nunziante SQUEGLIA
7
, Bruno
BRISEGHELLA
8
, Giorgio MONTI
9
, Camillo NUTI
10
ABSTRACT
The Leaning Bell Tower of Pisa has been included in the list of the World Heritage Sites by UNESCO since 1987.
Over the last 20 years, the Tower has successfully undergone a number of interventions to reduce its inclination.
The Tower has also been equipped with a sensor network for seismic monitoring. In this study, preliminary results
on the dynamic behavior of the monument are presented, including a review of historical seismicity in the region,
identification of vibrational modes, definition of seismic input, site response analysis, and seismic response
accounting for soil-structure interaction. This includes calibration of the dynamic impedances of the foundation to
match the measured natural frequencies. The study highlights the importance of soil-structure interaction in the
survival of the Tower during a number of strong seismic events since the middle ages.
Keywords: Dynamic response, Leaning Tower, Soil-structure interaction, Seismic hazard assessment
1. INTRODUCTION
The Bell Tower of Piazza del Duomo in Pisa (Italy) was built during a period of two centuries. Its
construction began in 1173 and was completed in 1370 with the erection of the belfry. The periods of
construction are summarized in Figure 1 (a). At the beginning of construction the Tower started leaning
to the north, reaching a maximum tilt of about 0.5°. The leaning gradually switched to the South reaching
a maximum tilt of about 5.5° in the early 1990s with brought the structure to the verge of collapse..
The total height of the Tower is equal to 58.4 m measured from the foundation. Its cross-section is ring-
shaped, with an external diameter of 19.6 m at the base. The current tilt of the structure is about 5°
towards the South, leading to an offset at the top of about 5 m (Squeglia and Bentivoglio, 2015). The
estimated weight of the Tower is 14500 tons and the elevation of the center of mass is about 23 m from
the base, as indicated in Figure 1 (b).
1
Research Associate, Department of Architecture, Roma Tre University, Rome, Italy,
gabriele.fiorentino@uniroma3.it
2
Assistant Professor, Department of Architecture, Roma Tre University Rome, Italy, davide.lavorato@uniroma3.it
3
Assistant Professor, Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Italy,
giuseppe.quaranta@uniroma1.it
4
Associate Professor, Department of Engineering and Geology, university of Chieti-Pescara, Italy,
alessandro.pagliaroli@unich.it
5
PhD, Department of Science, Roma Tre University, Rome, Italy, giorgia.carlucci@uniroma3.it
6
Professor and Head of Earthquake & Geotechnics Research Group, University of Bristol, U.K.; Professor,
University of Patras, Greece; Adjunct Professor, University of California at Los Angeles (UCLA),
g.mylonakis@bristol.ac.uk
7
Assistant Professor, Department of Engineering, University of Pisa, Italy, squeglia@ing.unipi.it
8
Full Professor and Dean, College of Civil Engineering, Fuzhou University, Fuzhou, China, bruno@fzu.edu.cn
9
Full Professor, Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Italy,
giorgio.monti@uniroma1.it
10
Full Professor, Department of Architecture, Roma Tre University Rome, Italy, camillo.nuti@uniroma3.it
2
The last abrupt increase in inclination of the Tower was due to the digging of the Catino (Italian word
for basin) in 1838 by Alessandro della Gherardesca.
In the last thirty years the Tower became the subject of a series of successful interventions to reverse its
tilting. The inclination was reduced by approximately 0.5° following stabilization works which began
with the installation of 800 tons of lead ingots on the uplifted North side of the monument in 1993.
Figure 1. (a) Side view of the Tower of Pisa with indication of the years of construction and the definition of the
levels (Ordine); (b) cross section of the Tower with indication of the location of the center of mass.
The reduction in inclination was achieved following works of under-excavation and extraction of
approximately 40m2 of soil from the uplifted North side of the Tower between 1999 and 2001. Figure 2
shows the inclined boreholes used to realize these works.
Figure 2 Boreholes for final works of under-excavation
The seismic response of the Tower under earthquake action was first studied by Grandori and Faccioli
(1993), who presented results from dynamic analyses performed on a simplified finite-element (FE)
3
model of the structure in which the seismic input was defined in terms of a response spectrum.
Experimental assessments of the monument began in 1994, with the identification of modal parameters
by ISMES by means of forced vibrations using a vibrodyne.
In light of the severe inclination and the lack of ductility of the Tower, there is a need to study its
dynamic behavior under seismic action. The paper at hand presents an update on recent work carried
out by the co-authors (Fiorentino et al., 2017, 2018).
2. EXPERIMENTAL SEISMIC RESPONSE
The Leaning Tower of Pisa is equipped with a network of accelerometers for seismic monitoring. The
location of sensors is depicted in Figure 3.
Figure 3 Location of accelerometers on the Tower (S1, S2, S3, S4) and the Free Field.
The recorded strong ground motions have been analyzed using different methodologies, including Fast
Fourier Transforms (FFT), Continuous Wavelet Transforms (CWS) and Wavelet Cross Spectra (WCS).
These analyses (see Figure 4) allowed identification of the frequencies of four natural modes, as reported
in Table 1. The first two modes are associated with bending in N-S and E-W direction, respectively, and
have a natural frequency of about 1 Hz. The third is a vertical mode with a frequency of about 3 Hz. It
is worth noting that the only information available in the literature about the vertical mode comes from
Nakamura (1999). Moreover, a frequency of 6.3 Hz was also identified, possibly relating to a torsional
mode.
Table 1 Identified vibration modes and Experimental frequencies
Vibration mode
Experimental frequency [Hz]
1° bending mode (NS)
0.95
2° bending mode (EW)
1
3° vertical mode
3
4° torsional (?) mode
6.3
4
Figure 4 Location of sensors on the Tower (left) and CWT of the response recorded at S3 (right). S3-E = East
West component; S3-N = North-South component;
3. SEISMIC INPUT AND SOIL CHARACTERIZATION
3.1 Historical seismicity
The area around Pisa is characterized by moderate seismicity. The main seismic sources in the region
are located in the area of Pisa hills which are responsible of the 1846 M 6 Orciano Pisano earthquake)
and the Garfagnana area, which released the 1920 M 6.5 Garfagnana earthquake. According to the Italian
Database of historic earthquakes (Rovida et al., 2016), from year 1117 to 2018 eight earthquakes with
intensity levels (IMCS) equal or greater to 6 struck Pisa. This is considered a lower bound for inflicting
structural damage according to the EMS98 damage scale (Grunthal, 1998).
Seven of these earthquakes took place after the completion of the Tower in 1370, therefore the Tower
has withstood a considerable number of earthquakes with IMCS ranging from 6 to 7. Figure 5 and Table
2 summarize estimated IMCS values (≥ 5) from historical earthquakes in the area.
Regarding the damage to the local building stock, an extensive study was carried out by Moroni and
Stucchi (1993) and published as an appendix in the work by Grandori and Faccioli (1993). The historical
sources cited in that study reported moderate to heavy damage to buildings.
The earliest information dates back to 1322 (IMCS = 5-6), when one source reported the fall of a marble
plate depicting a Madonna from the Duomo façade.
A greater amount of information is available for more recent events. With reference to the 1767
earthquake of Versilia, the historical documents mention heavy damage including damage to chimneys,
balcony collapses, many cracks in buildings and some collapses in perimeter walls.
Cracks in the majority of masonry residential buildings and cracks on the church of S. Giovanni in Pisa
were reported during the 1814 Livorno earthquake (IMCS = 6).
The most damaging earthquake which took place during the life of the Tower was the August 14 1846
M 6 earthquake, known as Colline Pisane or Orciano Pisano earthquake. The maximum intensity was
assigned to the village of Orciano Pisano, where the earthquake resulted in the partial or total collapse
of the majority of the buildings (IMCS = 9). An Intensity IMCS = 7 was assigned to Pisa, where extensive
damage was observed on masonry buildings and on some public buildings and churches. No damage
was reported on the Tower of Pisa.
5
Figure 5 Macroseismic intensities in Pisa from year 1100 A.D. to year 2018 as reported in the CPTI15 catalogue
of Italian Earthquakes (adopted from Locati et al. 2016, Rovida et al. 2016).
Damage observed in Pisa during the 1846 earthquake is reported in a historical document put together
by Professor Leopoldo Pilla (1846), a famous geologist of the University of Pisa (and a martyr in the
first war of Italian Independence in 1848). The vault of the church of S. Michele collapsed, there was
damage to a vault in the church of S. Francesco. Cracks were reported on the Clock Tower of Palazzo
Pretorio, in the columns of the peristyle.
In the Piazza del Duomo, one cross of the roof and a marble square stone of the outer wall of the Duomo
fell down. Some light cracks were observed in the Camposanto (Cemetery) and the Battistero
(Baptistry). No damage was observed on the Tower of Pisa (Campanile).
Table 2 Historical earthquakes around Pisa with macroseismic Intensity IMCS 5.
Meizoseismal area
Intensity
in Pisa
Maximum
intensity
Monti Pisani
7-8
-
Pisa
5-6
5-6
Pisa
5-6
5-6
Colline Metallifere
6
7-8
Monti Pisani
5-6
5-6
Appennino settentrionale
6-7
6-7
Garfagnana
5
8
Livorno
5
6
Lunigiana
6-7
7
Costa pisano-livornese
6-7
6-7
Colline Pisane
7
9
Lucca
6
7
Mugello
5
10
Garfagnana
6-7
10
Appennino settentrionale
5
5
The 1920 earthquake of Garfagnana was very damaging in the meizoseismal region, but only slight
damage was observed in Pisa.
6
3.2 Seismic input
Seismic hazard assessment was performed by the authors by combining a probabilistic (PSHA) and a
deterministic approach (DSHA). To this end, SP96 (Sabetta and Pugliese, 1996) and AB10 (Akkar and
Bommer, 2010) Ground Motion Predictive Equations (GMPE) were employed. Uniform Hazard Spectra
(UHS) on rock were computed for Return Periods (RPs) of 130 and 500 years. These values are based
on the correlations between MCS intensity and RP, already used by Grandori and Faccioli (1993).
Disaggregation results were employed to identify controlling earthquakes. Based on the Italian seismic
catalogue CPTI15 (Rovida et al., 2016), it was possible to identify two key earthquake scenarios: a M
5.2 event with distance from source of about 20 km associated with a return period (RP) of 130 years
(e.g. Livorno 1742), and a M 5.7 earthquake with a distance from source of about 20 km (e.g. Orciano
Pisano 1846) associated with a return period of 500 years. These are related to MCS intensities VI and
VII, respectively. The target response spectrum for EC8 class B site was evaluated by means of the
Akkar and Bommer GMPE, including the subsoil term associated with Vs,30. Eight accelerograms were
selected for each RP from the European Strong Motion Database (Luzi et al. 2016), considering
5<M<5.5 for 130 years RP, and 5.3<M<6.2 for 500 years RP. The selected components of the horizontal
accelerograms were scaled in such a way so that the average spectrum of each set of accelerograms
approximates well the target spectrum for Soil B. This task has been accomplished using In-Spector
software (Acunzo et al., 2014). The scaling was carried out in the range of the fundamental periods 0.3-
1.1 s in order to take into account the periods of the first two bending modes (about 1 s) and that of the
third (vertical) mode (about 0.3 s) of the structure, thus obtaining the proper scaling factor SF for each
record. To obtain the vertical time histories on Soil B, each original vertical record taken from the
European Strong Motion Database was scaled with the corresponding SF (see Figure 6).
Figure 6. Spectrum-compatible horizontal acceleration time histories for EC8 Soil B with 500 years Return
Period: horizontal (left) and vertical (right) components
3.2 Geophysical tests
A 2D geophysical array (SESAME 2005) was deployed to provide a shear-wave velocity profile of the
soil underlying Piazza del Duomo. The layout of the instruments is displayed in Figure 7 (a). This kind
of test can reach depths of approximately 100 m, which is significantly larger compared to the depths
reached by available Down-Hole and Cross-Hole tests. The measurements were performed using nine
REFTEK130 stations equipped with Lennartz 3D 5s velocimeters and deployed in a triple equilateral
triangle configuration. The central station was located near the Baptistery. The set-up is depicted in
Figure 7 (b) and 7 (c).
7
Figure 7. (a) Array2D test in Piazza del Duomo in Pisa: a) layout of the instruments in the square; (b) Installation
of one the seismic stations; (c) Measurement station formed by REFTEK130 seismic stations and Lennartz 3D
5s velocimeters
The software GEOPSY was employed in the analyses. The inversions revealed the presence of a rigid
layer (VS500m/s) at a depth of about 100m (Figure 6). A single station analysis was performed within
the same test to evaluate H/V spectral ratios, from which a resonance peak at 1.3Hz, associated with an
interface at 40m depth was identified. Another peak was identified at 0.3Hz, which is possibly associated
with an interface at 500m depth or so. The H/V ratio and the associated resonance peaks are shown in
Figure 8.
Figure 8. Comparison between inversions from Array2D test and old DH/CH tests (left graph) and H/V spectral
curve for a single station (right graph)
3.3 Subsoil model and site response analysis
The soil model adopted for the site response analyses is reported in Table 2. It is based on the proposal
by Viggiani and Pepe (2005) and takes into account geotechnical investigations carried from 1970 to
1993. In this model three distinct horizons are identified: A (sandy and clayey silt), B (marine clays)
and C (dense sand), which can be further subdivided into the strata described in Table 3. Thickness and
unit weight for each stratum were estimated according to the data reported in the above study. The
8
assumed shear wave velocity profile is based on the aforementioned seismic array inversions. However,
it should be pointed out that this profile is in good agreement with the VS values measured by other
geophysical tests in the upper strata (e.g. SDMT tests carried out in 2015 up to 40 m and a 65 m deep
cross-hole test in 1999). It should be noticed that a nominal seismic bedrock (VS > 800 m/s) is not
encountered over the explored upper 95 m.
Table 3. Subsoil model adopted for site response analyses over the upper 95 m. LT = Lithotype, H = layer
thickness, γ = unit weight, VS = shear wave velocity, NL = Nonlinear Characterization ([R] = Rollins et al.,
1998; [D] = Darendeli, 2001), SB=Seismic Bedrock
LT
ΔH
(m)
γ
(kN/m3)
VS
(m/s)
NL
LT
ΔH
(m)
γ
(kN/m3)
VS
(m/s)
NL
MG
3.0
18.5
180
average [R]
B7
4.6
18.5
RC tests
A1
5.4
19
DSDSS test S4-
C2 σ'v=65 kPa
B8
1.4
18.5
230
230
RC tests
A2
2.0
18
PI=30 σ'v=55 kPa
[D]
B9
4.0
19
230
RC tests
B1
3.5
17
RC tests
B10
2.6
19.5
RC tests
B2
2.0
17.5
RC tests
C1
27.5
20.5
340
PI=0 σ'v=350 kPa
[D]
B3
4.9
16.5
RC tests
C2
11
20.5
PI=15 σ'v=500 kPa
[D]
B4
1.2
19.5
RC tests
C3
16
20.5
PI=0 σ'v=600 kPa
[D]
B5
3.0
20
230
RC tests
SB
(C3)
-
21
500
-
B6
2.4
19
PI=8 σ'v=200 kPa
[D]
For this reason, considering the uncertainties in the VS values at higher depths, the input motion for site
response analysis was defined according to EC8 class B classification (i.e. instead of rock - class A).
Regarding the nonlinear properties, most of the strata are characterized based on resonant column (RC)
tests (Impavido et al., 1993).
Stratum A1, for which no cyclic data are available, was characterized through DSDSS (Double
Specimen Direct Simple Shear) tests conducted on a soil sample extracted from a depth of 6.3 m (S4-
C2) (D’Elia et al. 2003). The cyclic tests were conducted for different vertical consolidation stresses σ'vc
(65-130-260 kPa); corresponding results are reported in Figure 9 (left graph) in terms of normalized
secant shear modulus and damping ratio as a function of shear strain amplitude.
Given the lack of experimental data, literature curves obtained for similar soils were employed for the
rest of soil strata (Darendeli, 2001; Rollins et al., 1998) (see Table 3). Site response analyses were carried
out using the 1D frequency-domain equivalent linear code STRATA (Kottke and Rathje, 2008). The
results for a return period of 500 years are reported in Figure 9 (right graph) in terms of horizontal
acceleration response spectra computed at ground surface (averaged over all input motions employed).
The average input spectrum at seismic bedrock level is also shown for comparison. Moderate
amplification phenomena take place in the medium-to-long periods with a maximum amplification ratio
slightly higher than 2 at around 1.2 s, where the corresponding average spectral accelerations are about
0.2g. Spectral accelerations as high as 0.5-0.6g (average values) develop at ground surface in the 0.2-
0.4 s period range.
9
Figure 9. G/G0 and D curves obtained through DSDSS test on S4-C2 sample for A1 stratum (left graph); input
and output average response spectra obtained from equivalent-linear site response analyses carried out for 500
years return period (right graph).
4. SOIL-STRUCTURE INTERACTION AND DYNAMIC RESPONSE
A simplified FE stick model, depicted in Figure 10 was built considering the inclination of the Tower
in the N-S direction. For each storey of the Tower, the coordinates of the centroid were defined, based
on the study by Macchi and Ghelfi (2005). For each centroid, 3 translational masses were defined.
Figure 10. Simplified model of the Leaning Tower of Pisa. mi: mass of the ith storey; zi: elevation of the ith
storey; Kx, Ky, Kz = translational base impedances; Krx, Kry, Krz = rotational base impedances (left graph);
reduction in seismic response due to soil-structure interaction for a mode-adjusted spectrum for 500 years return
period (right graph).
Three translational springs and rotational springs were assigned at the base of the model using the tables
by Mylonakis et al. (2006). Table 3 shows the comparison between the results of the modal analysis and
the frequencies obtained experimentally. For a nominal soil shear modulus of G = 77 GPa, the
frequencies obtained by considering the foundation alone and the foundation with the "Catino" are 0.87
10
Hz and 0.88 Hz, respectively, which are about 10% lower than the measured values of 1Hz (Fiorentino
et al 2018).
More satisfactory results were obtained for G = 95 GPa, which lead to a natural frequency of 0.96 Hz in
bending and 3.1 Hz in vertical mode. A further refinement was performed by varying the values of the
foundation springs by ±20%, to obtain improved agreements between the natural frequencies estimated
experimentally and analytically (denoted as “Calibrated” in Table 3).
Table 3. Comparison between numerical and experimental frequencies before and after model updating
Ring Foundation only
Foundation with Catino
Exp. mode
Exp. freq.
(Hz)
G=77GPa
G=95GPa
G=77GPa
G=95GPa
Calibrated
Bending N-S
0.96
0.87
0.96
0.88
0.97
0.95
Bending E-W
1
0.87
0.96
0.89
0.97
1
Vertical
3
2.8
3.1
2.8
3.1
3
Torsional
6.3
4.31
4.7
5.9
6.4
6.3
A response spectrum analysis was performed using the calibrated model, which provided some
preliminary results on the force demand as reported in Table 4. The results are compared to those
obtained for gravitational loading. Evidently, the base moment produced by seismic load with a return
period of 130 years equal to 230 MNm is about 20% lower than the gravitational one. On the other hand,
the moment obtained for a return period of 500 years is considerably larger than the gravitational one.
Table 4. Force demand at the base of the Tower in terms of overturning moment.
Load
Overturning moment [MNm]
Gravitational
280
Seismic input- mean 130 years
230
Seismic input - mean 500 years
420
The importance of soil-structure interaction on the vibrational characteristics of the tower can be
explored based on the so-called wave parameter (1/σ) introduced by Veletsos and co-workers (Veletsos
& Meek 1974; NIST 2012; Maravas et al 2014),
(1)
H* being the height of an equivalent Single-Degree-Of-Freedom (SDOF) structure (about 23 m based
on the elevation of the centre of mass of the Tower), f its fixed base natural frequency (about 3 Hz) and
Vs the soil shear wave propagation velocity (about 225 m/s). Considering these figures, the wave
parameter is estimated at around 0.3, a remarkably high value that exceeds all available data for building
structures (Stewart et al 1999). The SSI period can be estimated in an approximate manner from the
familiar expression (Veletsos & Meek 1974; NIST 2012; Maravas et al 2014)
 

  (2)
where k is the equivalent stiffness of the superstructure modelled as a SDOF oscillator (which can be
evaluated as k = 4 π2 m f2 = (4 π2 14500x 32 = 5.2 x 106 kN/m) and Kx, Kry are the foundation stiffnesses
in horizontal translation and rocking (about 5 x 106 kN/m and 5 x 108 kNm/rad), respectively.
Substituting these values into the above equation, one obtains
  which is reasonably close to
the measured value of 1 Hz (the difference being mainly due to the SDOF idealization of the actual
11
infinite-degree-of-freedom system). The period shift due to SSI, (
 1/0.3 3) is the highest known
for a structure of this height (Stewart et al 1999).
An equivalent analysis can be carried out considering that the natural frequencies in rocking oscillations
of a perfectly rigid superstructure is fry = 1/2π (5 x 108 kNm / 1.1 x 107 Μg m2)0.5 1.1Hz, the
corresponding frequency in swaying of a rigid superstructure is fx = 1/2π (5 x 106 kN/m / 14500 Μg)0.5
≈ 3Hz, and the natural frequency of the fixed-base structure is f =1/2π (5.2 x 106 kN/m / 14500 Μg)0.5
3Hz. Combining the above results using Dunkerley’s rule:
   
 (3)
yields
 , which in meaningful agreement with the first estimate.
The role of SSI in the seismic response of the Tower can be assessed with the help of the mode-adjusted
spectrum of Figure 10 (right graph), obtained by considering a modal participation coefficient of (2/3).
Evidently, under fixed-base conditions the spectral response is on the order of 0.4g, whereas under
flexible-base conditions it drops below 0.1g a 400% reduction. Note that this reduction is probably a
lower bound, as it does not account for period elongation due to non-linear soil response, increase in
damping etc. The beneficial effect of SSI on the seismic response of the Tower of Pisa is massive.
5. CONCLUSIONS
The study at hand reports on a numerical and experimental characterization of the seismic behavior of
the leaning Tower of Pisa, and a brief review of historical seismicity. The definition of the seismic input
at bedrock level is based on the results of a new set of geophysical and geotechnical tests performed in
Piazza del Duomo. On the basis of these measurements, a subsoil model was compiled to perform site
response analyses, which provided the free-field input ground motion. A structural Finite-Element (FE)
model was put together based on experimental measurements to explore the earthquake response of the
Tower, including the effect of soil-structure interaction. The FE model was compiled considering the
Tower inclination which can capture overturning moments due to vertical seismic motion. The
foundation impedance matrix was evaluated based on solutions from the literature and was refined to
match the experimental data. The shift in natural period due to SSI, from about 0.3s under fixed-base
conditions to over 1s considering soil compliance (
 ≈ 3) and a corresponding wave parameter (1/σ)
of about 0.3 are the largest known for a structure of this height. The reduction in spectral acceleration
demand due to SSI is on the order of 400%, from 0.4g under fixed-base conditions, to less than 0.1g
considering soil flexibility. This reduction is probably a lower bound, as it does not account for period
elongation due to non-linear soil response and associated increase in damping. Evidently, the beneficial
effect of SSI on the seismic response of the Tower is massive and may explain the lack of earthquake
damage on the structure, despite its severe inclination, low strength and limited ductility. Apart from
SSI, the modest seismicity in the area fundamentally contributed to the survival of the monument.
6. ACKNOWLEDGMENTS
This study was funded by Opera della Primaziale Pisana and coordinated by Camillo Nuti. Special
thanks are due to Professor Luca Sanpaolesi for his comments and suggestions. The authors also thank
INGV-Rome (Dr. Giuliano Milana) for providing the equipment for the 2D geophysical array.
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... Even though the Soil-Structure Interaction (SSI) is capable of greatly influencing the dynamic characteristics of such buildings [1][2][3][4][5], in most cases a fixed base is assumed, also partially due to the lack of geotechnical data. In the case in which the SSI is incorporated, the structural capacity can be evaluated by employing complete models of soil [6], or by replacing it with springs to reproduce the soil-foundation impedance [7]. ...
Article
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Historic constructions are affected by several uncertainties, among which those on mechanical parameters of masonry, because of reduced knowledge given by the limitation imposed on performing extensive destructive tests not to jeopardize the structural integrity. Besides, uncertainties on soil characterization can play a significant role in the evaluation of structural response, however is often neglected. Finite Element Models (FEM) often represent a good compromise given the possibility of reproducing the complex geometry of historical structures while requiring relatively limited material parameters from experimental tests (to feed models). However, the computational burden can become prohibitive when the evaluation of the effects of the variation of input mechanical properties for the assessment of the current behavior of the structure and potential design of adequate interventions and definition of monitoring systems requires running several analyses. In this work, modal analyses of a monumental Medieval construction such as the Baptistery of Pisa are carried out within a probabilistic framework including material uncertainties on both mechanical parameters of soil and masonry, which are assigned suitable probability distributions based on the limited data from in-situ campaigns combined with engineering judgment. A gPCE-based surrogate model is employed to transform the onerous numerical runs into speeded-up analytical evaluations for the computation of Sobol’ indices to assess the influence of input variability on the first ten natural frequencies of the monument at issue. The method leads to the identification of the most relevant soil and masonry parameters and highlights which frequencies are primarily controlled by either the stiffness of the soil or that of the aboveground historical structure. In this sense, this work provides a first clue for designing a SHM of the Baptistery of Pisa with a view to assessing minimum detectable parameter change while monitoring natural frequencies.
... The paper at hand is the first comprehensive report put together by this group, though a few preliminary reports (e.g., Bartelletti et al. 2016a, 2016b, Fiorentino et al. 2017, 2018b have provided some highlights. Following a review of the relevant literature, including construction history (Macchi and Ghelfi 2005), the following are covered: (1) dynamic monitoring and identification based on recent earthquake recordings using up-to-date techniques, (2) an enhanced subsoil model developed by geophysical means using an extended two-dimensional (2-D) geophysical array, (3) definition of the expected earthquake input through pertinent hazard analysis using both probabilistic and deterministic approaches, (4) site response analysis considering both horizontal and vertical ground motion components, (5) development of a simplified elastodynamic model of the Tower encompassing SSI via pertinent foundation springs, calibrated using geotechnical data and optimization tools, and (6) earthquake response of the Tower using response spectrum and time history analysis. ...
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The Tower of Pisa has survived several strong earthquakes undamaged over the last 650 years, despite its leaning and limited strength and ductility. No credible explanation for its remarkable seismic performance exists to date. A reassessment of this unique case history in light of new seismological, geological, structural, and geotechnical information is reported, aiming to address this question. The following topics are discussed: (1) dynamic structural identification based on recorded earthquake data; (2) geophysical site characterization using a two-dimensional array; (3) seismic hazard and site response analysis considering horizontal and vertical motions; and (4) soil-structure interaction (SSI) analysis calibrated using lab and field data. A substantial shift in natural period, from about 0.35 s to over 1 s (a threefold increase, the largest known for a building of that height) caused by SSI, a wave parameter (1∕σ) of about 0.3, and a minor effect of vertical ground motion are identified and may explain the lack of earthquake damage on the Tower. Recommendations for future research, including the need to establish a seismic bedrock deeper than 500 m, are provided
Chapter
The comprehension of the structural behavior of historical buildings is pivotal for preserving them through suitable interventions and designing adequate monitoring systems. The complexity lies in articulated geometries, poor knowledge of materials, and often unknown construction sequences, which may have influenced the stress field in a non-linear material such as masonry. This paper addresses the issues through different modeling strategies accounting for material uncertainties in a probabilistic framework that leverages sensitivity analyses on Finite Element (FE) global models. The prior probability density functions of soil and masonry mechanical parameters are chosen based on expert judgment and available data from experimental campaigns. Response surfaces surrogate numerical models based on general Polynomial Chaos Expansion (gPCE), thus turning burdensome runs into faster analytical evaluations. Modal analyses on the entire FE model of the Baptistery of Pisa are performed to evaluate the sensitivity of masonry and soil mechanical parameters on the variation of the first modal eigenvalues. This aims at understanding the minimum recognizable parameter variation when monitoring natural frequencies, thus guiding the sensors’ best positioning.
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The Leaning Tower of Pisa was built between 1173 and 1360 and began to lean at the beginning of its construction. Extensive investigations to reveal the causes of the tilting only began in the early 20th century. Although few earthquakes have been recorded, there is a renewed interest in the seismic behavior of the tower triggered by the availability of new data and technologies. This paper highlights the influence of using new strength-controlled constitutive models in case of 1D nonlinear response analysis. This is an aspect that has been poorly investigated. Most of the computer codes currently available for nonlinear seismic response analysis (SRA) of soil use constitutive models able to capture small-strain behavior, but the large-strain shear strength is left uncontrolled. This can significantly affect the assessment of a 1-D response analysis and the Leaning Tower’s subsoil can be useful for this study as it represents a well-documented and well-characterized site. After a geological and geotechnical description of the subsoil profile and a synthesis of available data, the seismic input is defined. One-dimensional SRAs were carried out by means of a computer code which considers an equivalent-linear soil modelling and two codes which assume nonlinear soil response and permit to use strength-controlled constitutive models. All the parameters were calibrated on the basis of the same soil data, therefore allowing for a direct comparison of the results.
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Twenty years have passed from the most recent studies about the dynamic behavior of the leaning Tower of Pisa. Significant changes have occurred in the meantime, the most important ones concerning the soil-structure interaction. From 1999 to 2001, the foundation of the monument was consolidated through under-excavation, and the "Catino" at the basement was rigidly connected to the foundation. Moreover, in light of the recent advances in the field of earthquake engineering, past studies about the Tower must be revised. Therefore, the present research aims at providing new data and results about the structural response of the Tower under earthquake. As regards the experimental assessment of the Tower, the dynamic response of the structure recorded during some earthquakes has been analyzed in the time- and frequency-domain. An Array 2D test has been performed in the Square of Miracles to identify a soil profile suitable for site response analyses, thus allowing the definition of the free-field seismic inputs at the base of the Tower. On the other hand, a synthetic evaluation of the seismic input in terms of response spectra has been done by means of a hybrid approach that combines Probabilistic and Deterministic Seismic Hazard Assessment methods. Furthermore, natural accelerograms have been selected and scaled properly. A finite element model that takes into account the inclination of the structure has been elaborated, and it has been updated taking into account the available experimental results. Finally, current numerical and experimental efforts for enhancing the seismic characterization of the Tower have been illustrated.
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Foreword Thirty years ago, in 1985, the compilation of the "Catalogo dei Terremoti Italiani dall’anno 1000 al 1980" (Catalogue of Italian Earthquakes from the year 1000 to 1980) in the framework of the “Progetto Finalizzato Geodinamica” was completed and published by Daniele Postpischl (Postpischl, 1985a). The Working Group that authored the catalogue had the goal of verifying the information on Italian earthquakes listed in different available catalogues, in particular the ENEL (1977) one, and compile a new, state-of-the-art catalogue. At the conclusion of that work, which had appeared as preliminary with respect to the initial goal, the entire, almost forgotten subject area of historical seismology had emerged and “the first concrete advancements in the still long course of the research, towards the development of final products” were represented by the catalogue and the monographs on large earthquakes collected in the “Atlas of isoseismal maps of Italian earthquakes” (Postpischl, 1985b). The possibility of having final products was rapidly abandoned, as testified by the long process that has led to the current version of the Italian Parametric Earthquake Catalogue, which inherited that epoch. Through years the possibilities of improving the knowledge on earthquakes already known to the seismological tradition have been - and still are - manifold, and new research strategies have developed. The new version of the Catalogue, after thirty years, is a further important contribution to the advancements of the understanding of the seismicity of the Italian territory, the definition of seismogenic processes, the identification and characterization of active structures and the improvements of seismic hazard assessment. The first version of the Parametric Catalogue of Italian Earthquakes (Catalogo Parametrico dei Terremoti Italiani, CPTI99; CPTI Working Group, 1999) was published in July 1999. It aimed at unifying and homogenizing, by using the same parameterization procedures for all the events, the information on Italian earthquakes since then produced by different investigators or reported by different catalogues (NT4.1, Camassi and Stucchi, 1997; CFTI 1 and 2, Boschi et al., 1995; 1997). In 2004, the second version CPTI04 (CPTI Working Group, 2004) was published as the catalogue to be used in the framework of the Italian seismic hazard assessment MPS04 (MPS Working Group, 2004; Stucchi et al., 2011). CPTI04 was indeed new only as concerns the 1981-2002 portion, the remaining portion being the same as CPTI99 with the exception of the conversion of Ms to Mw with empirical relationships. Some experimental and/or partial version were then released within INGV or to specific research projects. The third published version, named CPTI11 (Rovida et al., 2011), was released in December 2011. Together with a remarkable update of the input data, both macroseismic (collected in the 2011 release of Italian Macroseismic Database DBMI11; Locati et la, 2011) and instrumental, the most important innovations with respect to previous versions regarded the catalogue structure, consisting of three sets of earthquake parameters, i.e. macroseismic, instrumental, and preferred ones, and the inclusion of records related to many fore- and after-shocks. Nonetheless, for time constraints only studies contributing macroseismic data published before 2007 were taken into account and neither the empirical conversion relations for homogenizing instrumental magnitudes to Mw nor the calibration used to assess parameters from macroseismic data - except the experimental application of the method by di Bakun e Wentworth (1997) to a few offshore earthquakes - were updated. Thanks to the improved methodologies developed in the framework of some European projects and, mostly, to the wealth of new macroseismic data published in the last five years, together with revised calibrations of instrumental magnitudes, a new important update of the catalogue, as well as a new release of the companion macroseismic database DBMI, has been released as CPTI15.
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The latest version of the Italian Macroseismic Database, DBMI15, has been released in July 2016, and replaces the prevision version, called DBMI11 (Locati et al., 2011). DBMI makes available a set of macroseismic intensity data related to Italian earthquakes and covers the time-window 1000-2014. Intensity data derive from studies by authors from various Institutions, both in Italy and bordering countries (France, Austria, Slovenia, and Croatia). Macroseismic Data Points (MDPs) are collected and organized in DBMI for several scopes. The main goal is to create a homogenous set of data for assessing earthquake parameters (epicentral location and magnitude) for compiling the Parametric Catalogue of Italian Earthquakes (CPTI). The data provided by DBMI are also used for compiling the seismic history of thousands of Italian localities (15213 in DBMI15), in other words the list of effects observed in a place through time as a consequence of earthquakes, expressed as macroseismic intensity degrees. As they are closely linked, DBMI and CPTI tend to be published at the same time, and using the same release version (e.g. DBMI04-CPTI04, DBMI11-CPTI11), but in two distinct websites, one for DBMI, and a different one for CPTI. From this release, DBMI and CPTI (Rovida et al., 2016) are made available using a unified website.
Conference Paper
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Introduzione. Il software In-Spector è stato progettato per fornire supporto ad utenti esperti nella selezione di accelerogrammi naturali, compatibili con uno spettro obiettivo, da utilizzare nelle analisi dinamiche di sistemi geotecnici e strutturali. Nel lavoro, dopo la descrizione della procedura proposta per la scelta degli accelerogrammi, si illustrano le principali funzionalità del software e un esempio applicativo. Selezione di accelerogrammi naturali spettrocompatibili. La selezione di accelerogrammi compatibili con uno spettro obiettivo, da utilizzare come input per analisi dinamiche, è un argomento attualmente molto dibattuto nella letteratura scientifica nazionale e internazionale, sia in campo strutturale che geotecnico (ad es. Bommer e Acevedo, 2004; Iervolino et al., 2008; Pagliaroli e Lanzo, 2008; Scasserra et al., 2009). A livello nazionale va ricordato che le Norme Tecniche per le Costruzioni (NTC-08) non consentono l'uso di accelerogrammi artificiali per applicazioni geotecniche, come riportato al 3.2.3.6 delle norme stesse e al C3.2.3.6 della Circolare applicativa (C.S.LL.PP, 2009), mentre ammettono l'utilizzo di segnali simulati e naturali. L'uso di questi ultimi è generalmente preferito in quanto consente di disporre di segnali più realistici in termini di contenuto in frequenza, durata, numero di cicli e di correlazione tra le componenti orizzontali e verticali del moto sismico. La metodologia proposta per la selezione degli accelerogrammi naturali, è divisa secondo le seguenti fasi: a) pre-selezione delle registrazioni accelerometriche dalle banche dati disponibili sulla base di parametri sismologici (principalmente coppie magnitudo-distanza); b) calcolo, per ciascuna registrazione, dello spettro di risposta e del relativo parametro D rms rispetto alla forma spettrale obiettivo nel campo di periodi di interesse; c) calcolo del fattore di scala F S da applicare a ciascuna registrazione; d) individuazione di un sottoinsieme di segnali accelerometrici sulla base di determinati valori di soglia di D rms e F S scelti in modo da garantire una adeguata numerosità del campione; e) scelta definitiva di 7 segnali accelerometrici a partire dal sottoinsieme di cui al punto precedente sulla base di ulteriori criteri di selezione (esame di parametri del moto sismico aggiuntivi quali durata, Intensità di Arias etc.); f) calcolo dello spettro medio dei 7 segnali selezionati al punto precedente e verifica di compatibilità spettrale con lo spettro obiettivo. Mentre la preselezione delle registrazioni (fase a) è volutamente affidata all'utente ed è effettuata esternamente al codice In-Spector, i restanti step sono automatizzabili attraverso il software. Le fasi costituenti la procedura di selezione dell'input proposta sono di seguito esaminate in maggior dettaglio. a) pre-selezione delle registrazioni accelerometriche dalle banche dati. Quando si ricercano accelerogrammi naturali sulla base di parametri sismologici (magnitudo, distanza dal sito, dominio tettonico etc.) vanno considerati i seguenti aspetti (Bommer e Acevedo, 2004): • la magnitudo costituisce il parametro più importante nella ricerca in quanto influenza fortemente il contenuto in frequenza (quindi la forma spettrale) e la durata del moto sismico; • la distanza ha una minore influenza sulla forma spettrale mentre condiziona sensibilmente l'ampiezza del moto; tuttavia su quest'ultima si può agire applicando un fattore di scala all'accelerogramma; 001-502 volume 2
Article
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Determining the dynamic characteristics in advance and increasing durability of ground and structures beyond the presumed seismic force is a fundamental for preserving the historical structures. Main purpose of this study is to investigate the dynamic and other characteristic features of Pisa tower and answer the questions such as in which frequency the tower vibrates and where is the center and direction of this movement? Microtremor method is applied for this purpose. Rocking vibration frequency for entire structure is found as 0.98Hz in NS and 1.06Hz for EW direction. Center of this movement in NS direction is located in rather southern site of the central axis, almost under the bottom of foundation. In EW side this depth is about 1.5m under the foundation. Amplification is bigger in EW direction which shows tendency to move to this direction also. Ground bearing capacity is also calculated and it has been found that it changes between 1kg/cm3 to 1.3 kg/cm3 for the vertical frequency changing between 2.2-2.5 Hz. From the results, microtremor method is proved to be a useful tool for this kind of investigations, since it easily gives needed information in a short period of time.
Thesis
As part of various research projects [including the SRS (Savannah River Site) Project AA891070, EPRI (Electric Power Research Institute) Project 3302, and ROSRINE (Resolution of Site Response Issues from the Northridge Earthquake) Project], numerous geotechnical sites were drilled and sampled. Intact soil samples over a depth range of several hundred meters were recovered from 20 of these sites. These soil samples were tested in the laboratory at The University of Texas at Austin (UTA) to characterize the materials dynamically. The presence of a database accumulated from testing these intact specimens motivated a re-evaluation of empirical curves employed in the state of practice. The weaknesses of empirical curves reported in the literature were identified and the necessity of developing an improved set of empirical curves was recognized. This study focused on developing the empirical framework that can be used to generate normalized modulus reduction and material damping curves. This framework is composed of simple equations, which incorporate the key parameters that control nonlinear soil behavior. The data collected over the past decade at The University of Texas at Austin are statistically analyzed using First-order, Second-moment Bayesian Method (FSBM). The effects of various parameters (such as confining pressure and soil plasticity) on dynamic soil properties are evaluated and quantified within this framework. One of the most important aspects of this study is estimating not only the mean values of the empirical curves but also estimating the uncertainty associated with these values. This study provides the opportunity to handle uncertainty in the empirical estimates of dynamic soil properties within the probabilistic seismic hazard analysis framework. A refinement in site-specific probabilistic seismic hazard assessment is expected to materialize in the near future by incorporating the results of this study into state of practice.
Article
A short summary is presented of the studies and the actions of Committees appointed in past 50 years for the Tower of Pisa. The discussion first addresses the attempts carried out during the whole history of the Tower to measure its movements and the efforts made to understand the origin and causes of its inclination. A history of foundation rotation has been also deduced by means of a precise architectural survey, which has led to a diagnosis for the inclination and its increase in time. As a consequence, several hypotheses for its stabilization have been proposed. All the measures for leaning tower stabilization need the application of observational method for their implementation. The observational method is strictly based on a comprehensive monitoring system, both described in the second part of the paper. The aims are to stress the importance of a well-conceived monitoring system and to propose the extension of concept of monitoring to construction history details. The data and actions described are from the work carried out by committees appointed by Italian Government during the second half of 20th century, in particular by the committee chaired by Professor Jamiolkowski, appointed in 1991. The authors have collaborated with this committee since 1993, and they are still in charge of the monitoring and maintenance of the Tower of Pisa.
Article
A simplified discrete system in the form of a simple oscillator is developed to simulate the dynamic behavior of a structure founded through footings or piles on compliant ground, under harmonic excitation. Exact analytical expressions for the fundamental natural period and the corresponding damping coefficients of the above system are derived, as function of geometry and the frequency-dependent foundation impedances. In an effort to quantify the coupling between swaying and rocking oscillations in embedded foundations such as piles, the reference system is translated from the footing–soil interface to the depth where the resultant soil reaction is applied, to ensure a diagonal impedance matrix. The resulting eccentricity is a measure of the coupling effect between the two oscillation modes. The amounts of radiation damping generated from a single pile and a surface footing are evaluated. In order to compare the damping of a structure on a surface footing and a pile, the notion of static and geometric equivalence is introduced. It is shown that a pile may generate significantly higher radiation damping than an equivalent footing, thus acting as an elementary protective system against seismic action.