Validation and application of empirical liquefaction models

Journal of Geotechnical and Geoenvironmental Engineering

Volumn 136, Issue 12, 2010, Pages 1618-1633

  Oommen, Thomas ^a,b   Baise, Laurie G ^a   Vogel, Richard ^a  

^a Tufts University   (United States)

^b MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

Author keywords

Bayesian updating method; CPT; Machine learning; Model validation; Simplified procedure; SPT; Support vector machine

Indexed keywords

BAYESIAN UPDATING METHOD; CPT; MACHINE-LEARNING; MODEL VALIDATION; SIMPLIFIED PROCEDURE; SPT;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; LEARNING ALGORITHMS; RISK PERCEPTION; SOIL LIQUEFACTION; SOIL MECHANICS; SUPPORT VECTOR MACHINES;

GEOLOGIC MODELS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYESIAN ANALYSIS; EMPIRICAL ANALYSIS; LIQUEFACTION; NUMERICAL MODEL; PROBABILITY; SOIL MECHANICS;

ULMUS;

EID: 78349272696     PISSN: 10900241     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)GT.1943-5606.0000395     Document Type: Article

References (50)

1. Cetin K.O. Standard penetration test-based probabilistic and deterministic assessment of seismic soil liquefaction potential. J. Geotech. Geoenviron. Eng. 2004, 130(12):1314-1340. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2004)130:12(1314).
2. Cetin K.O. Kiureghian A.D. Seed R.B. Probabilistic models for the initiation of seismic soil liquefaction. Struct. Safety 2002, 24(1):67-82. ZZZZZZ, 0167-4730, 10.1016/S0167-4730(02)00036-X, and.
3. Cortes C. Vapnik V. Support vector networks. Mach. Learn. 1995, 20(3):273-297. ZZZZZZ, 0885-6125, 10.1007/BF00994018, and.
4. Goh A.T. C. Seismic liquefaction potential assessed by neural networks. J. Geotech. Engrg. 1994, 120(9):1467-1480. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1994)120:9(1467).
5. Goh A.T. C. Probabilistic neural network for evaluating seismic liquefaction potential. Can. Geotech. J. 2002, 39(1):219-232. CGJOAH, 0008-3674, 10.1139/t01-073.
6. Goh A.T. C. Goh S.H. Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data. Comput. Geotech. 2007, 34:410-421. ZZZZZZ, 0266-3524, 10.1016/j.compgeo.2007.06.001, and.
7. Hanna A.M. Ural D. Saygili G. Evaluation of liquefaction potential of soil deposits using artificial neural networks. Eng. Comput. 2007, 24(1):5-16. ENGCE7, 0177-0667, 10.1108/02644400710718547, and.
8. Hashash Y.M. A. Special issue on biologically inspired and other novel computing techniques in geomechanics. Comput. Geotech. 2007, 34(5):329-329. ZZZZZZ, 0266-3524, 10.1016/j.compgeo.2007.08.003.
9. Hawkins D.M. The problem of overfitting. J. Chem. Inf. Comput. Sci. 2004, 44(1):1-12. JCISD8, 0095-2338, 10.1021/ci0342472.
10. Holzer T.L. Bennett M.J. Noce T.E. Padovani A.C. Tinsley J.C. Liquefaction hazard mapping with LPI in the greater Oakland, California, area. Earthquake Spectra 2006, 22(3):693-708. EASPEF, 8755-2930, 10.1193/1.2218591, and.
11. Hsu C.W. Chang C.C. Lin C.J. practical guide to support vector classification 2003, 12. and Vol. National Taiwan University, Taipei, Taiwan.
12. Idriss I.M. Boulanger R.W. Semi-empirical procedures for evaluating liquefaction potential during earthquakes. Soil Dyn. Earthquake Eng. 2006, 26:115-130. SDEEEJ, 0267-7261, 10.1016/j.soildyn.2004.11.023, and.
13. Iwasaki T. Tatsuoka F. Tokida K.I. Yasuda S. A practical method for assessing soil liquefaction potential based on case studies at various sites in Japan. Proc., 2nd Int. Conf. on Microzonation for Safer Construction-Research and Application 1978, II:885-896. and Vol.
14. Juang C.H. Chen C.J. Tang W.H. Rosowsky D.V. CPT-based liquefaction analysis. Part 1: Determination of limit state function. Geotechnique 2000, 50(5):583-592. GTNQA8, 0016-8505, 10.1680/geot.2000.50.5.583, and.
15. Juang C.H. Jiang T. Andrus R.D. Assessing probability-based methods for liquefaction potential evaluation. J. Geotech. Geoenviron. Eng. 2002, 128(7):580-589. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2002)128:7(580), and.
16. Juang C.H. Li D.K. Assessment of liquefaction hazards in Charleston quadrangle, South Carolina. Eng. Geol. (Amsterdam) 2007, 92(1-2):59-72. EGGOAO, 0013-7952, 10.1016/j.enggeo.2007.03.003, and.
17. w for probabilistic liquefaction hazard analysis. J. Geotech. Geoenviron. Eng. 2008, 134(8):1050-1058. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2008)134:8(1050), and.
18. Juang C.H. Yuan H.M. Lee D.H. Lin P.S. Simplified cone penetration test-based method for evaluating liquefaction resistance of soils. J. Geotech. Geoenviron. Eng. 2003, 129(1):66-80. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2003)129:1(66), and.
19. Karatzoglou A. Meyer D. Hornik K. Support vector machines in R. J. Stat. Software 2006, 15(9). JSSOBK, 1548-7660.
20. Keerthi S.S. Lin C.J. Asymptotic behaviors of support vector machines with Gaussian kernel. Neural Comput. 2003, 15(7):1667-1689. NEUCEB, 0899-7667, 10.1162/089976603321891855, and.
21. Krawinkler H. Exercising performance-based earthquake engineering. Proc., 3rd Int. Conf. on Earthquake Engineering 2004, 212-218.
22. Lai S.-Y. Hsu S.-C. Hsieh M.-J. Discriminant model for evaluating soil liquefaction potential using cone penetration test data. J. Geotech. Geoenviron. Eng. 2004, 130(12):1271-1282. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2004)130:12(1271), and.
23. Lee D.-H. Ku C.-S. Yuan H. A study of the liquefaction risk potential at Yuanlin, Taiwan. Eng. Geol. (Amsterdam) 2003, 71(1-2):97-117. EGGOAO, 0013-7952, and.
24. Liao S.S. C. Veneziano D. Whitman R.V. Regression-models for evaluating liquefaction probability. J. Geotech. Engrg. 1988, 114(4):389-411. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1988)114:4(389), and.
25. Lin H.T. Lin C.J. Weng R.C. A note on Platt's probabilistic outputs for support vector machines. Mach. Learn. 2007, 68(3):267-276. ZZZZZZ, 0885-6125, 10.1007/s10994-007-5018-6, and.
26. Moss R.E. S. Seed R.B. Kayen R.E. Stewart J.P. Kiureghian A.D. Cetin K.O. CPT-based probabilistic and deterministic assessment of in situ seismic soil liquefaction potential. J. Geotech. Geoenviron. Eng. 2006, 132(8):1032-1051. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2006)132:8(1032), and.
27. Oommen T. Baise L.G. Model development and validation for intelligent data collection for lateral spread displacements. J. Comput. Civ. Eng. 2010, 24(6):467-477. JCCEE5, 0887-3801, 10.1061/(ASCE)CP.1943-5487.000050, and.
28. Oommen T. Baise L.G. Vogel R. Sampling bias and class imbalance in maximum likelihood logistic regression. Mathematical Geosciences 2010a, and in press.
29. Oommen T. Misra D. Twarakavi N.K. C. Prakash A. Sahoo B. Bandopadhyay S. An objective analysis of support vector machine based classification for remote sensing. Mathematical Geosciences 2008, 40(4):409-424. 10.1007/s11004-008-9156-6, and.
30. Pal M. Support vector machines-based modelling of seismic liquefaction potential. Int. J. Numer. Analyt. Meth. Geomech. 2006, 30(10):983-996. IJNGDZ, 0363-9061, 10.1002/nag.509.
31. Papathanassiou G. Pavlides S. Ganas A. The 2003 Lefkada earthquake: Field observations and preliminary microzonation map based on liquefaction potential index for the town of Lefkada. Eng. Geol. (Amsterdam) 2005, 82(1):12-31. EGGOAO, 0013-7952, 10.1016/j.enggeo.2005.08.006, and.
32. Platt J. Probabilistic outputs for support vector machines and comparison to regularised likelihood methods. Advances in large margin classifiers 2000, A. Smola, B. Bartlett, B. Scholkopf, D. Schuurmans, and eds., Cambridge, Mass.
33. R: language and environment for statistical computing 2009, Development Core Team, Foundation for Statistical Computing, Vienna, Austria.
34. Robertson P.K. Campanella R.G. Liquefaction potential of sands using the CPT. J. Geotech. Engrg. 1985, 111(3):384-403. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1985)111:3(384), and.
35. Robertson P.K. Wride C.E. Evaluating cyclic liquefaction potential using the cone penetration test. Can. Geotech. J. 1998, 35(3):442-459. CGJOAH, 0008-3674, 10.1139/cgj-35-3-442, and.
36. Sahoo B.C. Oommen T. Misra D. Newby G. Using the one-dimensional S-transform as a discrimination tool in classification of hyperspectral images. Can. J. Remote Sens. 2007, 33(6):551-560. CJRSDP, 0703-8992, and.
37. Samui P. Sitharam T.G. Kurup P.U. OCR prediction using support vector machine based on piezocone data. J. Geotech. Geoenviron. Eng. 2008, 134(6):894-898. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2008)134:6(894), and.
38. Scholkopf B. Smola A. Learning with kernels 2002, and MIT Press, Cambridge, Mass.
39. Seed H.B. De Alba P. Use of SPT and CPT tests for evaluating the liquefaction resistance of sands 1986, 281-302. and Blacksburg, Va.
40. Seed H.B. Idriss I.M. Simplified procedure for evaluating soil liquefaction potential. 1971, 97(SM9):1249-1273. and.
41. Seed H.B. Idriss I.M. Arango I. Evaluation of liquefaction potential using field performance data. J. Geotech. Engrg. 1983, 109(3):458-482. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1983)109:3(458), and.
42. Seed H.B. Tokimatsu K. Harder L.F. Chung R.M. Influence of SPT procedures in soil liquefaction resistance evaluations. J. Geotech. Engrg. 1985, 111(12):1425-1445. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1985)111:12(1425), and.
43. Shibata T. Teparaksa W. Evaluation of liquefaction potentials of soils using cone penetration tests. Soils Found. 1988, 28(2):49-60. SOIFBE, 0038-0806, and.
44. Sonmez H. Modification of the liquefaction potential index and liquefaction susceptibility mapping for a liquefaction-prone area (Inegol, Turkey). Environ. Geol. 2003, 44(7):862-871. ENGOE9, 0943-0105, 10.1007/s00254-003-0831-0.
45. Sonmez H. Gokceoglu C. A liquefaction severity index suggested for engineering practice. Environ. Geol. 2005, 48(1):81-91. ENGOE9, 0943-0105, 10.1007/s00254-005-1263-9, and.
46. Stark T.D. Olson S.M. Liquefaction resistance using CPT and field case-histories. J. Geotech. Engrg. 1995, 121(12):856-869. JGENDZ, 0733-9410, 10.1061/(ASCE)0733-9410(1995)121:12(856), and.
47. Toprak S. Holzer T.L. Bennett M.J. Tinsley J.C. I. CPT and SPT-based probabilistic assessment of liquefaction. Proc., 7th U.S.-Japan Workshop on Earthquake Resistant Design of Lifeline Facilities and Countermeasures against Liquefaction 1999, 69-86. and MCEER, Seattle.
48. Vapnik V. The nature of statistical learning theory 1995, Springer-Verlag, New York.
49. Youd T.L. Liquefaction resistance of soils: Summary report from the 1996 NCEER and 1998 NCEER/NSF Workshops on evaluation of liquefaction resistance of soils. J. Geotech. Geoenviron. Eng. 2001, 127(10):817-833. JGGEFK, 1090-0241, 10.1061/(ASCE)1090-0241(2001)127:10(817).
50. Youd T.L. Noble S.K. Liquefaction criteria based on statistical and probabilistic analyses. Proc., NCEER Workshop on Evaluation of Liquefaction Resistance of Soils 1997, 201-205. and NCEER Technical Rep. NoNCEER-97-0022.