304dB
TC304 databases
One
of the key findings of the recently concluded ISSMGE 2017 SOA/SOP Survey is
that publically-available databases that include
information available for benchmarking studies of inherent spatial
variability, soil and rock properties, and risk databases be available to the
profession. Thus, compiling geotechnical databases represents one of the key
missions of the current TC304. We present the current databases below
(nickname: 304dB),
and we encourage the use of them to advance the state of the art and practice
of the geotechnical profession; we also invite you to contact the task force
leaders below if you are willing to contribute databases to this effort. 304 dB was initiated by Prof
Kok-Kwang Phoon (immediate past Chair, TC304) and Jianye
Ching (current Chair, TC304) in 2017.
Acknowledgments
For
those interested in using any of 304dB, please download the data and feel
free to use it subject to the constraints described in the Disclaimer and
Restrictions, shown at the bottom of this webpage. Use of the data in any
derivative work (defined here as a thesis, dissertation, conference paper,
journal paper, engineering report, etc.) requires the Acknowledgement of this
TC304 effort and the citations of the database reference(s), indicated in the
last column of each table. Please include the following text in the
derivative work where appropriate (e.g., in the Front Matter of a
dissertation, or in an Acknowledgement section of a journal paper, typically
presented after the Conclusions and before the References): The authors would like to thank the
members of the TC304 Committee on Engineering Practice of Risk Assessment
& Management of the International Society of Soil Mechanics and
Geotechnical Engineering for developing the database 304dB used in this study
and making it available for scientific inquiry. We also wish to thank
<insert name of Database Owner> for contributing this database to the
TC304 compendium of databases.
CPT databases
Leader:
Armin Stuedlein
These
databases are mostly CPT clusters, i.e., multiple CPTs are conducted in a
local site.
The
names of the databases are in the format of A/B/C:
A:
Type of in-situ test (CPT or CPTU)
B:
number of soundings
C:
rough size of sounding area
Please
contact Armin armin.stuedlein@oregonstate.edu
if you want to contribute databases.
|
Database
|
Sounding details
|
File format
|
Database owner
|
Database reference
|
|
Text
|
Excel
|
Matlab
|
|
A-CPT/232/2500m2
Adelaide, Australia
Stiff, OC alluvial clay (CH)
|
Total depths = 3.5 ~ 5.6 m
Horizontal spacing = 0.2 m ~ 71 m
Site Map
|
Link
|
Link
|
Link
|
M Jaksa
mark.jaksa@adelaide.edu.au
|
1.
Jaksa, M. (1995).
The Influence of Spatial Variability on the Geotechnical Design Properties
of a Stiff, Overconsolidated Clay. Ph.D.
Dissertation, University of Adelaide, Australia. Researchgate link
2.
Jaksa, M., Kaggwa,
W.S., and Brooker, P.I. (1999). Experimental evaluation of the scale of
fluctuation of a stiff clay. Proceedings of the 8th International
Conference on Application of Statistics and Probability, A.A. Balkema,
Rotterdam, 415-422. Researchgate link
|
|
A-CPT/1/horizontal
Adelaide, Australia
Stiff, OC alluvial clay (CH)
|
Horizontal sounding in embankment
Horizontal extent = 7.62 m
|
Link
|
Link
|
Link
|
M Jaksa
mark.jaksa@adelaide.edu.au
|
1.
Jaksa, M. (1995).
The Influence of Spatial Variability on the Geotechnical Design Properties
of a Stiff, Overconsolidated Clay. Ph.D.
Dissertation, University of Adelaide, Australia. Researchgate link
2.
Jaksa, M., Kaggwa,
W.S., and Brooker, P.I. (1999). Experimental evaluation of the scale of
fluctuation of a stiff clay. Proceedings of the 8th International
Conference on Application of Statistics and Probability, A.A. Balkema,
Rotterdam, 415-422. Researchgate link
|
|
SC-CPTU/25/78m2
Hollywood, SC, USA
Medium Dense Beach Sand and Silty Sand (SP-SM)
|
Total Depth = 13 to 13.5m
Horizontal Spacing = 0.61m to 26m
Site Map
A-A
Cross Section
|
Link
|
Link
|
Link
|
A.W. Stuedlein
Armin.Stuedlein@oregonstate.edu
|
1.
Bong, T. and Stuedlein, A.W. (2017). Effect of Cone Penetration Conditioning on Random
Field Model Parameters and Impact of Spatial Variability on
Liquefaction-induced Differential Settlements. Journal of Geotechnical and Geoenvironmental
Engineering. In Press.
2.
Bong, T. and Stuedlein, A.W. (2017). Spatial Variability of CPT Parameters and Silty Fines
in Liquefiable Beach Sands. Journal of Geotechnical and Geoenvironmental
Engineering, 143(12), 04017093. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001789
3.
Gianella, T.N. and
Stuedlein, A.W. (2017). Performance of Driven Displacement Pile-Improved
Ground in Controlled Blasting Field Tests. Journal of Geotechnical and Geoenvironmental
Engineering, 143(9), 04017047. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001731
4.
Stuedlein, A.W., Gianella,
T.N., and Canivan, G.J. (2016). Densification of Granular Soils using Conventional and Drained
Timber Displacement Piles. Journal of Geotechnical and Geoenvironmental
Engineering, 142(12), 04016075. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001554
|
|
TX-CPTU/9/328m2
Baytown, TX USA
Stiff OC Clay (CL/CH)
|
Total Depth = 3.74 to 15.2m
Horizontal Spacing = 7.68m to 28.62m
Site Map
A-A
Cross Section
|
Link
|
Link
|
Link
|
A.W. Stuedlein
Armin.Stuedlein@oregonstate.edu
|
1.
Stuedlein, A.W., Kramer,
S.L., Arduino, P., and Holtz, R.D. (2012). Geotechnical Characterization and Random Field
Modeling of Desiccated Clay. Journal of Geotechnical and Geoenvironmental
Engineering, ASCE, 138(11), 1301-1313.
https://doi.org/10.1061/(ASCE)GT.1943-5606.0000723
2.
Stuedlein, A.W., Kramer,
S.L., Arduino, P., and Holtz, R.D. (2012). Reliability of Spread Footing Performance in
Desiccated Clay. Journal of Geotechnical and Geoenvironmental
Engineering, ASCE, 138(11), 1314-1325. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000706
|
|
NL-CPTU/98/2km2
New Lock
Terneuzen, the Netherlands
|
Total Depth = 3 to 70m
Horizontal Spacing = 0.36m to 2835m
Site Map
|
|
Link
|
Link
|
Arjan Grashuis
arjan.grashuis@rws.nl
|
|
|
JP-CPTU/25/River dike
Oda River, Okayama, Japan
Interlayers of backfill sand, alluvial clay, and
diluvial sand
Soil classification (link)
|
Total depths = 10 ~ 13 m
Horizontal spacing =5m~200m
Site map 1 (link);
Site map 2 (link)
Cross section (link)
|
|
Link
|
|
Shin-ichi Nishimura
theg1786@okayama-u.ac.jp
|
1.
Nishimura, S.,
Shibata, T., Shuku, T., and Imaide,
K. (2017). Geostatistical analysis for identifying weak soil layers in
dikes, Geotechnical Risk Assessment and Management, GSP285, ASCE, Proc. of
the Geo-risk 2017, 529-538.
https://doi.org/10.1061/9780784480724.048
|
|
NL-CPTU/100/Dyke
Leendert de Boerspolder, the Netherlands
Man-made dyke body underlain by peats and clays
|
Total
depths = 10 m - 12 m
100 CPTs
in a 50 m x 15 m area of which
29 CPTs
on a dyke with horizontal spacing of 1.25~2.5 m
|
Link
|
|
Link
|
Tom DE GAST
T.deGast@tudelft.nl
Philip
J. VARDON
P.J.Vardon@tudelft.nl
Michael A. HICKS
m.a.hicks@tudelft.nl
|
1. De Gast, T., Dykes and embankments: a
geostatistical analysis of soft terrain, PhD thesis, Delft University
of Technology, 2020. https://doi.org/10.4233/uuid:4ce3b4ec-0a6a-4886-9a82-5945a1f9ea50
2.
De Gast, T., Vardon, P.J. & Hicks, M.A., Assessment of soil
spatial variability for linear infrastructure using cone penetration tests,
Géotechnique, published online (ahead of print), 2020. https://doi.org/10.1680/jgeot.19.SiP.002
|
|
Global-CPT/3/1196
Global CPT database
|
1196 CPT soundings from 59 sites/regions worldwide
(35 sites have multiple
CPTs with known X-Y coordinates)
|
|
Link
|
|
Jianye Ching
jyching@gmail.com
|
1.
Ching, J., Uzielli, M., Phoon, K.K., and Xu, X.J. (2023).
Characterization of autocovariance parameters of detrended cone tip
resistance from a global CPT database. ASCE Journal of Geotechnical and
Geoenvironmental Engineering, 149(10), 04023090.
https://doi.org/10.1061/JGGEFK.GTENG-11214
|
Multivariate soil/rock property databases
Leader:
Yu Wang
These
databases are for soil/rock samples with simultaneously measured properties
(e.g., two clay samples at the same depth in the same local site are tested,
one to obtain Atterbergs limits and the other to
obtain undrained shear strength). Some databases are genuinely multivariate,
e.g., all properties are simultaneously measured, and some are only partially
multivariate. These simultaneously measured properties are recorded in the
same line (e.g., same excel row).
The
names of the databases are in the format of A/B/C:
A:
material type (CLAY or SAND or ROCK)
B:
number of parameters of interest
C:
number of data points
Please
contact Yu Wang yuwang@cityu.edu.hk
if you want to contribute databases.
|
Database
|
Parameters
|
# sites/
studies
|
Property ranges
|
File format
|
Database compiler
|
Database reference
|
|
Text
|
Excel
|
Matlab
|
|
CLAY/5/345
Genuinely multivariate
|
LI, su, sure,
sv, sp
(Definition)
|
37 sites worldwide
|
OCR 1~4
Sensitive to quick clays
|
Link
|
Link
|
Link
|
J Ching
jyching@gmail.com
|
Ching, J. and Phoon, K.K. (2012). Modeling parameters of structured
clays as a multivariate normal distribution. Canadian Geotechnical Journal,
49(5), 522-545.
https://doi.org/10.1139/t2012-015
|
|
CLAY/6/535
Genuinely multivariate
|
su/sv, OCR, qt1,
qtu, (u2-u0)/sv, Bq
(Definition)
|
40 sites worldwide
|
OCR 1~10
|
Link
|
Link
|
Link
|
J Ching
jyching@gmail.com
|
Ching, J., Phoon, K.K., and Chen, C.H. (2014). Modeling CPTU
parameters of clays as a multivariate normal distribution. Canadian
Geotechnical Journal, 51(1), 77-91. https://doi.org/10.1139/cgj-2012-0259
|
|
CLAY/10/7490
Partially multivariate
|
LL, PI, LI, sv/Pa, sp/Pa, su/sv, St, qt1, qtu, Bq
(Definition)
|
251 studies
|
OCR 1~10
Insensitive to quick clays
|
|
Link
|
|
J Ching
jyching@gmail.com
|
Ching, J. and Phoon, K.K. (2014). Transformations and correlations among
some clay parametersVthe global database.
Canadian Geotechnical Journal, 51(6), 663-685.
https://doi.org/10.1139/cgj-2013-0262
|
|
F-CLAY/7/216
Finland clays
Genuinely multivariate
|
LL, PL, w, sv, sp, su,
St
(Definition)
|
24 sites in Finland
|
OCR 1~6
Sensitive to quick clays
|
Link
|
Link
|
Link
|
M DIgnazio
marco.dignazio@ngi.no
TT Länsivaara
tim.lansivaara@tut.fi
|
DIgnazio, M., Phoon, K.K., Tan, S.A. & Länsivaara,
T.T. (2016). Correlations for undrained shear strength of Finnish soft
clays. Canadian Geotechnical Journal, 53, 1628-1645.
https://doi.org/10.1139/cgj-2016-0037
|
|
S-CLAY/7/168
Scandinavia clays
Partially multivariate
|
LL, PL, w, sv, sp, su,
St
(Definition)
|
22 sites in Norway & Sweden
|
OCR 1~5
Sensitive to quick clays
|
Link
|
Link
|
Link
|
M DIgnazio
marco.dignazio@ngi.no
TT Länsivaara
tim.lansivaara@tut.fi
|
DIgnazio, M., Phoon, K.K., Tan, S.A. & Länsivaara,
T.T. (2016). Correlations for undrained shear strength of Finnish soft
clays. Canadian Geotechnical Journal, 53, 1628-1645.
https://doi.org/10.1139/cgj-2016-0037
|
|
J-CLAY/5/124
Jiangsu clays (China)
Genuinely multivariate
|
Mr, qc, fs, w, γd
(Definition)
|
16 sites in Jiangsu Province, China
|
Soft to stiff clayey soils and silty clay soils
|
|
Link
|
Link
|
Guojun Cai
focuscai@163.com
|
Liu, S., Zou, H., Cai, G., Bheemasetti,
B.V., Puppala, A.J. & Lin, J. (2016). Multivariate correlation among
resilient modulus and cone penetration test parameters of cohesive subgrade
soils. Engineering Geology, 209, 128V142.
https://doi.org/10.1016/j.enggeo.2016.05.018
|
|
SAND/7/2794
Partially multivariate
|
D50, Cu,
Dr, s'v/Pa, f¢, qt1, (N1)60
(Definition)
|
176 studies
|
85% reconstituted sands, 15% in-situ sands
Mostly NC clean sands
|
|
Link
|
|
JR Chen
jrchen@ncnu.edu.tw
J Ching
jyching@gmail.com
|
1.
Chen, J.R. (2004). Axial Behavior of Drilled Shafts in Gravelly Soils. Ph.D.
Dissertation, Cornell University, Ithaca, NY.
2.
Ching, J., Lin,
G.H., Chen, J.R., and Phoon, K.K. (2017). Transformation models for
effective friction angle and relative density calibrated based on a
multivariate database of coarse-grained soils. Canadian Geotechnical Journal, 54(4), 481-501.
https://doi.org/10.1139/cgj-2016-0318
|
|
ROCK/9/4069
Partially multivariate
|
n, g, RL, Sh,sbt, Is50, Vp,sci, Ei
(Definition)
|
184 studies
|
Intact rocks
27.5%
igneous, 59.4% sedimentary, and 13.1% metamorphic
|
|
Link
|
|
J Ching
jyching@gmail.com
|
Ching, J., Li, K. H., Phoon, K. K., & Weng, M. C. (2018).
Generic transformation models for some intact rock properties. Canadian
Geotechnical Journal, 55(12), 1702-1741. https://doi.org/10.1139/cgj-2017-0537
|
|
FG-KSAT/6/1358
Permeability for fine-grained soils
Partially multivariate
(mostly genuinely
multivariate)
|
e, k, LL, PL, PI, Gs
(Definition)
|
33 studies
|
31% lean
clays, 5% silts, 38% fat clay, 20% elastic silts, one sample classified as
clayey sand, and 75 samples without PI or USCS info
|
Link
|
Link
|
|
Shuyin Feng
shuyin.feng@bristol.ac.uk
Paul Vardanega
p.j.vardanega@bristol.ac.uk
|
1. Feng, S. and Vardanega, P. J. (2019a).
Correlation of the hydraulic conductivity of fine-grained soils with water
content ratio using a database. Environmental Geotechnics, 6(5): 253-268. https://doi.org/10.1680/jenge.18.00166
2. Feng, S. and Vardanega, P. J. (2019b). A
database of saturated hydraulic conductivity of fine-grained soils:
probability density functions. Georisk:
Assessment and Management of Risk for Engineered Systems and Geohazards,
13(4): 255-261. https://doi.org/10.1080/17499518.2019.1652919
|
|
FI-CLAY/14/856
Finland clays
Partially
multivariate
|
w,
e, LL, F, PL, g, Org, Cl, su,
St, sp, OCR, Cc, Cs
(Definition)
|
33
sites in Finland
|
OCR 0.3~41
Medium sensitive to
quick clays, organic soils (8%), and clayey silts (3%)
|
|
Link
|
|
Monica Löfman
monica.lofman@aalto.fi
Leena Korkiala-Tanttu
leena.korkiala-tanttu@aalto.fi
|
Löfman, M. S. and Korkiala-Tanttu, L. K. (2021). Transformation models
for the compressibility properties of Finnish clays using a multivariate
database. Georisk: Assessment and Management of
Risk for Engineered Systems and Geohazards. https://doi.org/10.1080/17499518.2020.1864410
|
|
ROCKMass/9/5876
|
RQD,
RMR, Q, GSI, Em, Eem,
Edm, Ei, sci
(Definition)
|
225
studies covering 67 countries/regions
|
17% igneous, 37% sedimentary,
and 26% metamorphic cases. 20% of the cases do not contain rock class
information.
|
|
Link
|
|
J Ching
jyching@gmail.com
|
Ching, J., Phoon, K.K., Ho, Y.H., and Weng, M.C.
(2020). Quasi-site-specific prediction for deformation modulus of rock
mass. Canadian Geotechnical Journal, in press.
|
|
SH-CLAY/11/4051
Shanghai clays
(China)
Partially
multivariate
|
LL, PI, LI, e, K0,
s'v/Pa,
su(UCST)/s 'v,
St(UCST), su(VST)/s'v,
St(VST), ps/s’v
(Definition)
|
51 sites in Shanghai,
China
|
medium to very
sensitive clays
|
|
Link
|
|
Doming Zhang
09zhang@tongji.edu.cn
|
Zhang, D., Zhou, Y., Phoon, K. K., and Huang, H.
(2020). Multivariate probability distribution of shanghai clay properties.
Engineering Geology, 105675. https://doi.org/10.1016/j.enggeo.2020.105675
|
|
SOIL/2/2433
Genuinely bivariate
|
N, Vs
(Definition)
|
16 regions worldwide
|
N 0.9~147.9
Vs (m/s) 55.0~1135.5
35% sandy soils, 11%
silty soils, 18% clayey soils, 11% Sandy silt/silty sand, 25% of the data
points do not contain soil type information.
|
|
Link
|
|
Jie Zhang
cezhangjie@tongji.edu.cn
Shihao Xiao
xiaoshihao@tongji.edu.cn
|
Xiao, S.H., Zhang, J., Ye, J.M., and Zheng, J.G. (2021).
Establishing region-specific N – Vs relationships through hierarchical
Bayesian modeling. Engineering Geology, 106105.
https://doi.org/10.1016/j.enggeo.2021.106105
|
|
CLAY-Cc/6/6203
Partially
multivariate
|
LL, PI, w, e, Cc,
Cur
(Definition)
|
429 studies
|
85% of the records are undisturbed clays, 15% are
reconstituted clays
|
|
Link
|
|
Jianye
Ching
jyching@gmail.com
|
Ching, J., Phoon,
K.K., and Wu, C.T. (2022). Data-centric quasi-site-specific prediction for
compressibility of clays. Canadian Geotechnical Journal.
http://doi.org/10.1139/cgj-2021-0658
|
|
ROCK/10/4025
Partially
multivariate
|
n, γ, RL, BPI, σbt,
Is50, Vp, σci, Ei, mi
(Definition)
|
95 case studies
23 countries
|
Intact rocks:
35.4% igneous, 54.8% sedimentary, and 9.2 % metamorphic,
0.6% unclassified samples
|
|
Link
|
|
Maria
Ferentinou
M.Ferentinou@ljmu.ac.uk
mferen@gmail.com
|
Muzamhindo, H. and
Ferentinou, M. (2023).Generic compressive strength prediction model
applicable to multiple lithologies based on a broad global database.
Probabilistic Engineering Mechanics, 71, 2023, 103400.
https://doi.org/10.1016/j.probengmech.2022.103400
|
|
SAND-Small/9/939
Small-strain shear modulus and drained peak
shear strength for sands (Readme)
Partially multivariate
|
D50, Cu,
emin, emax, s'3, s'1p, ec, Gmax, f'
(Definition)
|
15 studies
|
Reconstituted clean sands
|
|
Link
|
|
MK Lo
man-kong.lo@polyu.edu.hk
Xiao Wei
weixiaos@zju.edu.cn
|
Lo, M. K.,
Wei, X., Chian, S. C., & Ku, T. (2021). Bayesian Network Prediction of
Stiffness and Shear Strength of Sand. Journal of Geotechnical and Geoenvironmental Engineering, 147(5), 04021020.
https://doi.org/10.1061/(ASCE)GT.1943-5606.0002505
(Reference list)
|
|
CG/KSAT/7/1278
Hydraulic conductivity for saturated granular
materials
Partially multivariate
(mostly genuinely
multivariate)
|
Gs, k, D10, D50,
CU, CZ, e
(Definition)
|
53 studies
|
Gs (2.32 to 3.71),
k (5.7E-08 to 1.2E+03 mm/s),
D10 (5.0E-04 to 11 mm), D50 (0.077
to 24.1 mm), CU (1.2
to 1273), CZ (0.09 to 615), e (0.09 to 1.47)
|
|
Link
|
|
Shuyin Feng
shuyin.feng@bcu.ac.uk
Paul J. Vardanega
p.j.vardanega@bristol.ac.uk
|
Feng, S.,
Barreto, D., Imre, E., Ibraim, E. &
Vardanega, P.J. (2023). Use of hydraulic radius to estimate the
permeability of coarse-grained materials using a new geodatabase.
Transportation Geotechnics, 41: [101026]. https://doi.org/10.1016/j.trgeo.2023.101026
Feng, S.
(2022). Hydraulic conductivity of road construction materials: with a focus
on freeze-thaw effects. Ph.D. thesis, University of Bristol, Bristol, UK.
|
Geospatial databases
Leader:
Michele Calvello
Please
contact Michele mcalvello@unisa.it
if you want to contribute databases.
|
Database
|
Managed by
|
Description
|
Accessibility
|
Language
|
Reported by
|
|
|
|
|
Landslide risk in Hong Kong
|
Geotechnical Engineering Office (GEO) of the Civil
Engineering and Development Department, Government of the Hong Kong SAR
|
Geospatial datasets for use in management of landslide risk in Hong
Kong.
(1) ENTLI - The Enhanced Natural Terrain Landslide Inventory (ENTLI)
contains information on the distribution of about 109,300 natural terrain
landslides throughout Hong Kong. The ENTLI Landslides were identified
solely from available aerial photographs taken for the years 1924 to 2013
inclusive. No field validation was
undertaken.
(2) Geological Map - This is a 1:200 000 scale simplified geological
map of Hong Kong. It depicts the simplified solid and superficial geology
of the territory, including descriptions of major lithological units and
faults. Currently the 1:20 000 scale
digital geological maps cover only Hong Kong Island, Kowloon and the
central portion of the New Territories (Map sheets No. 7, 11 and 15).
(3) Landslide - A comprehensive collection of the landslide
incidents reported to GEO since early 1980's.
(4) Rainfall - A network comprises over 80 GEO automatic raingauges located throughout Hong Kong, which record
rainfall data in 5-minute interval.
|
To access these data for academic studies, send an
email to Dr HW Sun (hwsun@cedd.gov.hk)
|
English
|
Dr HW Sun (Nov 2017)
hwsun@cedd.gov.hk
|
|
|
|
Italian National Geoportal
|
Italian Ministry of the Environment
|
Unified access point to environmental and territorial information
from a wealth of Italian public Agencies, Authorities and Administrations.
|
http://www.pcn.minambiente.it/mattm/en/
|
English and Italian
|
Michele Calvello (Nov 2017)
mcalvello@unisa.it
|
|
|
|
UK National Geoscience Data Centre
|
British Geological Survey
|
Over 400 datasets, including environmental monitoring data, digital
databases, physical collections (borehole core, rocks, minerals and
fossils), records and archives.
|
http://www.bgs.ac.uk/services/ngdc/home.html
|
English
|
Michele Calvello (Nov 2017)
mcalvello@unisa.it
|
|
|
"LiqChina"
Liquefaction case history database
Group
leaderGProf. Yan-Guo Zhou, Zhejiang University
Group
members:
Dr. Xiaojun Li, Institute of
Geophysics, China Earthquake Administration
Dr. Su Chen, Institute of Geophysics,
China Earthquake Administration
Dr. Xiaoming Yuan, Institute of
Engineering Mechanics, China Earthquake Administration
Dr. Longwei Chen, Institute of
Engineering Mechanics, China Earthquake Administration
Dr. Lanming
Wang, Lanzhou Institute of Seismology, China Earthquake Administration
Dr. Lin Dong, Lanzhou Institute of
Seismology, China Earthquake Administration
Dr. Shuai Li, Earthquake
Administration of Xinjiang Uygur Autonomous Region
Dr. Lihua Tang, Earthquake
Administration of Xinjiang Uygur Autonomous Region
Dr. Guojun
Cai, Southeast University
Dr. Jie (Jason) Zhang, Tongji
University
Dr. Wenping
Gong, China University of Geosciences
This
database includes liquefaction case histories of several major earthquakes
occurred in China.
The
name of each sub-database is in the format of A/B/C:
A: Earthquake event (such as 1976 Tangshan
Earthquake)
B: Moment magnitude of event (such as
Mw=7.6)
C: Type of in-situ test (
for example, SPT, CPT or Vs)
Please
contact Prof. Yan-Guo Zhou via: qzking@zju.edu.cn if you want to contribute
to this databases. Thank you very much!
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Database
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Data summary tables
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Case histories
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Database owner/compiler
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Database reference
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2008 Wenchuan Earthquake/ Mw=7.9/ SPT and Vs
Earthquake Location Coordinates:
31.0XN, 103.4XE
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The table contains
a summary information of 17 sites in Sichuan Province.
Download link of summary table
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Zip file of case historiesG
Download link of case histories
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Longwei Chen
chenlw@iem.ac.cn
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1. Cao, Z., Youd, T. L., & Yuan, X.
(2012). Chinese dynamic penetration test for liquefaction evaluation in
gravelly soils. Journal of Geotechnical and Geoenvironmental
Engineering, 139(8), 1320-1333.
https://ascelibrary.org/doi/full/10.1061/%28ASCE%29GT.1943-5606.0000857
2. Cao, Z. (2010). Characteristics of Soil
Liquefaction in the Great Wenchuan Earthquake and Procedures for Gravelly
Soil Liquefaction Evaluation. (Doctoral dissertation, Institute of
Engineering Mechanics, China Earthquake Administration).
http://www.cnki.com.cn/Article/CJFDTotal-GJZT201102022.htm
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1976 Tangshan Earthquake/ Mw=7.5/ CPTU
Earthquake Location Coordinates:
39.6XN, 118.2XE
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The table contains
a summary information of 18 sites in Tangshan and Lutai
areas.
Download link of summary table
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Zip file of case historiesG
Download link of case histories
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Guojun Cai
focuscai@163.com
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1. Cai, G., Liu, S., & Puppala, A. J.
(2012). Liquefaction assessments using seismic piezocone penetration
(SCPTU) test investigations in Tangshan region in China. Soil Dynamics and
Earthquake Engineering, 41, 141-150.
https://www.sciencedirect.com/science/article/pii/S0267726112001030
2. Moss, R. E. S., Kayen, R. E., Tong, L.
Y., Liu, S. Y., Cai, G. J., & Wu, J. (2010). Retesting of liquefaction
and nonliquefaction case histories from the 1976
Tangshan earthquake. Journal of Geotechnical and Geoenvironmental
Engineering, 137(4), 334-343.
https://ascelibrary.org/doi/full/10.1061/%28ASCE%29GT.1943-5606.0000406
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2003 Bachu-Jiashi
Earthquake/ Mw=7.0/ Vs
Earthquake Location Coordinates:
39X30 N, 77X12 E
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The table contains
a summary information of 15 sites in Bachu-Jiashi area.
Download link of summary table
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Zip file of case historiesG
Download link of case histories
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Yan-Guo Zhou
qzking@zju.edu.cn
Shuai Li
peter825550@163.com
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1. Li, Z. (2012). A Study into
Liquefaction Discrimination Methods Based on Surveys of the Bachu
Earthquake. (Doctoral dissertation, Institute of Engineering Mechanics,
China Earthquake Administration)
http://www.cnki.com.cn/Article/CJFDTotal-GJZT201303011.htm
2. Shi, J. (2011). Liquefaction judging methods
based on shear wave velocity in Bachu earthquake survey. (Doctoral
dissertation, Institute of Engineering Mechanics, China Earthquake
Administration)
http://cdmd.cnki.com.cn/Article/CDMD-85406-1011152796.htm
3. Lin, D. (2010). Primary Study on Liquefaction in
Bachu--Jiashi Earthquake. (Doctoral dissertation, Institute of
Engineering Mechanics, China Earthquake Administration)
http://cdmd.cnki.com.cn/Article/CDMD-85406-2010167536.htm
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Note: Please refer to the
following notes for the compiling procedure and criteria of case history to
form the Data summary table.
1) Selection of critical layer Note link
2) Ground motion estimation method Note link
3) Field testing and data processing Note link
Disclaimer and Restrictions
The
data presented here are for informational use only; no warranties, either
expressed or implied, regarding the accuracy or reliability of the data are
provided. Use of this data releases the database owner and TC304 of any
liability of any kind. The databases provided here are intended to serve the
profession for educational purposes or for benchmarking of analyses within
professional environments (e.g., public agencies, engineering firms, etc.).
Use of this data requires acknowledgement as described above. Furthermore,
this data may not be used for direct profit, e.g., within proprietary
software, without explicit agreement between the database owner and the
entity. The use of this data within an unauthorized manner, as described
herein, shall result in the forfeit of the right to use the data and the
associated monetary gross revenues. Breach of this restriction shall result
in prosecution.
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