메뉴 건너뛰기




Volumn 27, Issue 6, 2007, Pages 521-540

Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data

Author keywords

General regression neural networks; GRNN; Kocaeli earthquake; Liquefaction; Standard penetration test; Taiwan earthquake

Indexed keywords

EARTHQUAKES; ITERATIVE METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

EID: 33846833664     PISSN: 02677261     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.soildyn.2006.11.001     Document Type: Article
Times cited : (146)

References (39)
  • 1
    • 0015128601 scopus 로고
    • Simplified procedure for evaluating soil liquefaction potential
    • Seed S.B., and Idriss I.M. Simplified procedure for evaluating soil liquefaction potential. J Soil Mech Found Div 97 9 (1971) 1249-1273
    • (1971) J Soil Mech Found Div , vol.97 , Issue.9 , pp. 1249-1273
    • Seed, S.B.1    Idriss, I.M.2
  • 2
    • 0022360088 scopus 로고
    • Influence of SPT procedures in soil liquefaction resistance evaluations
    • Seed H.B., Tokimatsu K., Harder L.F., and Chung R. Influence of SPT procedures in soil liquefaction resistance evaluations. J Geotech Eng ASCE 111 12 (1985) 861-878
    • (1985) J Geotech Eng ASCE , vol.111 , Issue.12 , pp. 861-878
    • Seed, H.B.1    Tokimatsu, K.2    Harder, L.F.3    Chung, R.4
  • 3
    • 0020920847 scopus 로고
    • Empirical correlation of soil liquefaction based on SPT N-value and fines content
    • Tokimatsu K., and Yoshimi Y. Empirical correlation of soil liquefaction based on SPT N-value and fines content. Soils Found 23 4 (1983) 56-74
    • (1983) Soils Found , vol.23 , Issue.4 , pp. 56-74
    • Tokimatsu, K.1    Yoshimi, Y.2
  • 4
    • 0022082274 scopus 로고
    • Energy dissipation and seismic liquefaction of sands: revised model
    • Berrill J.B., and Davis R.O. Energy dissipation and seismic liquefaction of sands: revised model. Soils Found 25 2 (1985) 106-118
    • (1985) Soils Found , vol.25 , Issue.2 , pp. 106-118
    • Berrill, J.B.1    Davis, R.O.2
  • 5
    • 0035474671 scopus 로고    scopus 로고
    • Liquefaction resistance of soils: summary report from the 1996 NCEER and 1998 NCEER/NSF workshops on evaluation of liquefaction resistance of soils
    • Youd T.L., Idriss I.M., Andrus R.D., Arango I., Castro G., Christian J.T., et al. 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 ASCE 127 10 (2001) 817-833
    • (2001) J Geotech Geoenviron Eng ASCE , vol.127 , Issue.10 , pp. 817-833
    • Youd, T.L.1    Idriss, I.M.2    Andrus, R.D.3    Arango, I.4    Castro, G.5    Christian, J.T.6
  • 7
    • 0029415865 scopus 로고
    • Empirical design in geotechnics using neural networks
    • Goh A.T.C. Empirical design in geotechnics using neural networks. Geotechnique 45 4 (1995) 709-714
    • (1995) Geotechnique , vol.45 , Issue.4 , pp. 709-714
    • Goh, A.T.C.1
  • 8
    • 0031126911 scopus 로고    scopus 로고
    • Predicting settlement of shallow foundations using neural networks
    • Teh C.L., Wong K.S., Goh A.T.C., and Jaritngam S. Predicting settlement of shallow foundations using neural networks. J Comput civil Eng 11 2 (1997) 129-138
    • (1997) J Comput civil Eng , vol.11 , Issue.2 , pp. 129-138
    • Teh, C.L.1    Wong, K.S.2    Goh, A.T.C.3    Jaritngam, S.4
  • 9
    • 0032430468 scopus 로고    scopus 로고
    • General regression neural networks for driven piles in cohesionless soils
    • Abu Keifa M.A. General regression neural networks for driven piles in cohesionless soils. J Geotech Geoenviron Eng Div ASCE 124 12 (1998) 1177-1185
    • (1998) J Geotech Geoenviron Eng Div ASCE , vol.124 , Issue.12 , pp. 1177-1185
    • Abu Keifa, M.A.1
  • 10
    • 33846820990 scopus 로고    scopus 로고
    • Kim BT, Kim YS. Lateral load-deflection modeling of group pile using artificial neural networks. Proceedings of the International Deep Foundation Congress, Orlando, FL, 2002.
  • 11
    • 0036712318 scopus 로고    scopus 로고
    • Predicting settlement of shallow foundations using neural networks
    • Shanin M.A., Maier H.R., and Jaska M.B. Predicting settlement of shallow foundations using neural networks. J Geotech Geoenviron Eng Div ASCE 128 9 (2002) 785-793
    • (2002) J Geotech Geoenviron Eng Div ASCE , vol.128 , Issue.9 , pp. 785-793
    • Shanin, M.A.1    Maier, H.R.2    Jaska, M.B.3
  • 12
    • 15544381564 scopus 로고    scopus 로고
    • Efficiency of pile groups driven in cohesionless soil using artificial neural network
    • Hanna A.M., Morcous G., and Helmy M. Efficiency of pile groups driven in cohesionless soil using artificial neural network. Can Geotech J 41 6 (2004) 1241-1249
    • (2004) Can Geotech J , vol.41 , Issue.6 , pp. 1241-1249
    • Hanna, A.M.1    Morcous, G.2    Helmy, M.3
  • 13
    • 0028666973 scopus 로고
    • Seismic liquefaction potential assessed by neural networks
    • Goh A.T.C. Seismic liquefaction potential assessed by neural networks. J Geotech Geoenviron Eng Div ASCE 120 9 (1995) 1467-1480
    • (1995) J Geotech Geoenviron Eng Div ASCE , vol.120 , Issue.9 , pp. 1467-1480
    • Goh, A.T.C.1
  • 14
    • 0030403486 scopus 로고    scopus 로고
    • Neural network modeling of CPT seismic liquefaction data
    • Goh A.T.C. Neural network modeling of CPT seismic liquefaction data. J Geotech Eng 122 1 (1996) 70-73
    • (1996) J Geotech Eng , vol.122 , Issue.1 , pp. 70-73
    • Goh, A.T.C.1
  • 15
    • 33846850000 scopus 로고    scopus 로고
    • Ural DN, Saka H. Liquefaction assessment by neural networks. Elect J Geotech Eng 1998; 〈http://geotech.civen.okstate.edu/ejge/ppr9803/index.html〉.
  • 16
    • 0033502312 scopus 로고    scopus 로고
    • Appraising cone penetration test based liquefaction resistance evaluation methods: artificial neural network approach
    • Juang C.H., Chen C.J., and Tien Y.-M. Appraising cone penetration test based liquefaction resistance evaluation methods: artificial neural network approach. Can Geotech J 36 (1999) 443-454
    • (1999) Can Geotech J , vol.36 , pp. 443-454
    • Juang, C.H.1    Chen, C.J.2    Tien, Y.-M.3
  • 17
    • 67049155314 scopus 로고    scopus 로고
    • Risk-based liquefaction potential evaluation using standard penetration tests
    • Juang C.H., Chen C.J., Jiang T., and Andrus R.D. Risk-based liquefaction potential evaluation using standard penetration tests. Can Geotech J 37 (2000) 1195-1208
    • (2000) Can Geotech J , vol.37 , pp. 1195-1208
    • Juang, C.H.1    Chen, C.J.2    Jiang, T.3    Andrus, R.D.4
  • 18
    • 0036009678 scopus 로고    scopus 로고
    • Probabilistic neural network for evaluating seismic liquefaction potential
    • Goh A.T.C. Probabilistic neural network for evaluating seismic liquefaction potential. Can Geotech J 39 (2002) 219-232
    • (2002) Can Geotech J , vol.39 , pp. 219-232
    • Goh, A.T.C.1
  • 19
    • 33846841560 scopus 로고    scopus 로고
    • Scawthorn C. Earthquakes of 1999. In: Euro conference on global change and catastrophe risk management: earthquake risks in Europe, Laxenburg, Austria, 2000.
  • 20
    • 0036477037 scopus 로고    scopus 로고
    • An overview of local site effects and the associated building damage in Adapazari during the 17 August 1999 Izmit earthquake
    • Bakir B.S., Sucuoglu H., and Yilmaz T. An overview of local site effects and the associated building damage in Adapazari during the 17 August 1999 Izmit earthquake. Bull Seismol Soc Am 92 1 (2002) 509-526
    • (2002) Bull Seismol Soc Am , vol.92 , Issue.1 , pp. 509-526
    • Bakir, B.S.1    Sucuoglu, H.2    Yilmaz, T.3
  • 21
    • 33846808277 scopus 로고    scopus 로고
    • Risk Management Solutions Inc. Event report: Chi-Chi, Taiwan earthquake. CA, USA, 2000.
  • 22
    • 33846812116 scopus 로고    scopus 로고
    • PEER. Pacific Earthquake Engineering Research, 2002 〈http://peer.berkeley.edu〉.
  • 23
    • 0242637381 scopus 로고    scopus 로고
    • Stewart JP, Chu DB, Lee S, Tsai JS, Lin PS, Chu BL, et al. Liquefaction and non-liquefaction from 1999 Chi-Chi, Taiwan, earthquake. In: Beavers JE. editor. Technical council on lifeline earthquake engineering, Monograph no. 25, 2001. p.1021-30.
  • 24
    • 0028416331 scopus 로고
    • Neural networks in civil engineering. I: principles and understanding
    • Flood I., and Kartam N. Neural networks in civil engineering. I: principles and understanding. J Comput Civil Eng ASCE 8 2 (1994) 131-148
    • (1994) J Comput Civil Eng ASCE , vol.8 , Issue.2 , pp. 131-148
    • Flood, I.1    Kartam, N.2
  • 25
    • 33846849999 scopus 로고    scopus 로고
    • Ghaboussi J. Potential applications of neuro-biological computational models in geotechnical engineering. In: Pande GN, Pietruszezak S. editors. Numerical models in geotechnics. Rotterdam, The Netherlands: Balkema; 1992. p. 543-55.
  • 27
    • 0026254768 scopus 로고
    • A general regression neural network
    • Specht D.F. A general regression neural network. IEEE Trans Neural Network 2 6 (1991) 568-576
    • (1991) IEEE Trans Neural Network , vol.2 , Issue.6 , pp. 568-576
    • Specht, D.F.1
  • 28
    • 33846783679 scopus 로고    scopus 로고
    • Wasserman PD. Advanced methods in neural network. Van Nostrand Reinhold; 1993. p. 147-58.
  • 29
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht D.F. Probabilistic neural networks. IEEE Trans Neural Networks 3 1 (1990) 109-118
    • (1990) IEEE Trans Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Specht, D.F.1
  • 31
    • 0346749364 scopus 로고    scopus 로고
    • High overburden stress effects in liquefaction analyses
    • Boulanger R.W. High overburden stress effects in liquefaction analyses. J Geotech Geoenviron Eng ASCE 129 12 (2003) 1071-1082
    • (2003) J Geotech Geoenviron Eng ASCE , vol.129 , Issue.12 , pp. 1071-1082
    • Boulanger, R.W.1
  • 32
    • 33846820989 scopus 로고    scopus 로고
    • Seed RB, Cetin KO, Moss RES, Kammerer A, Wu J, Pestana JM, et al. Recent advances in soil liquefaction engineering: a unified and consistent framework. In: Keynote address, 26th annual geotechnical spring seminar, Los Angeles Section of the Geo Institute, American Society of Civil Engineers, H.M.S, Queen Mary, Long Beach, CA, USA, 2003.
  • 33
    • 0020157116 scopus 로고
    • Prediction of pore water pressure buildup and liquefaction of sands during earthquakes by the cyclic strain method
    • Dobry R., Ladd R.S., Yokel F.Y., Chung R.M., and Powell D. Prediction of pore water pressure buildup and liquefaction of sands during earthquakes by the cyclic strain method. NBS Build Sci Ser 138, US Dept Commerce 152 (1982)
    • (1982) NBS Build Sci Ser 138, US Dept Commerce , vol.152
    • Dobry, R.1    Ladd, R.S.2    Yokel, F.Y.3    Chung, R.M.4    Powell, D.5
  • 34
    • 33846806504 scopus 로고    scopus 로고
    • Dobry R, Stokoe KH, Ladd RS, Yound TL. Liquefaction susceptibility from S wave velocity. In: ASCE national convention, St. Louis, MO, USA, 26-31 October 1981, preprint 81-544.
  • 35
    • 0028722388 scopus 로고    scopus 로고
    • Finn WDL, Ledbetter RH, Wu G. Liquefaction in silty soils: design and analysis. Ground failures under seismic conditions. Geotechnical Special Publication 44. New York: ASCE; 1994; p. 51-76.
  • 36
    • 33846822471 scopus 로고    scopus 로고
    • Rauch AF. EPOLLS: An empirical method for prediciting surface displacements due to liquefaction-induced lateral spreading in earthquakes. PhD. dissertation, Virginia Polytechnic Institute and State University, 1997.
  • 37
    • 0015360542 scopus 로고
    • Shear modulus and damping in soil: measurement and parameter effects
    • Hardin B.O., and Drnevich V.P. Shear modulus and damping in soil: measurement and parameter effects. J Soil Mech Found Div ASCE 98 (1972) 603-624
    • (1972) J Soil Mech Found Div ASCE , vol.98 , pp. 603-624
    • Hardin, B.O.1    Drnevich, V.P.2
  • 38
    • 33846784464 scopus 로고    scopus 로고
    • Frederick MD. NeuroSHELL 2 user's manual-version 3.0. USA: Ward Systems Group, Inc.; 1996.
  • 39
    • 33846795298 scopus 로고    scopus 로고
    • Andrus RD, Stokoe KH. Liquefaction resistance based on shear wave velocity. In: Proceedings of the NCEER workshop on evaluation of liquefaction resistance in soils. Technical report NCEER-97-0022, National Center for Earthquake Engineering Research, State University of New York at Buffalo, Buffalo, NY, 1997. p. 89-128.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.