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Volumn 32, Issue 5, 2005, Pages 377-386

Artificial neural network for stress-strain behavior of sandy soils: Knowledge based verification

Author keywords

Artificial neural network; Sandy soils; Sensitivity analysis; Stress strain; Undrained behavior

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; SENSITIVITY ANALYSIS; STRAIN; STRESS ANALYSIS;

EID: 23644459214     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compgeo.2005.06.002     Document Type: Article
Times cited : (93)

References (30)
  • 1
    • 0033862527 scopus 로고    scopus 로고
    • On self-learning finite element codes based on monitored response of structures
    • H.S. Shin G.N. Pande On self-learning finite element codes based on monitored response of structures Comput Geotech 27 2000 161-178
    • (2000) Comput. Geotech. , vol.27 , pp. 161-178
    • Shin, H.S.1    Pande, G.N.2
  • 2
    • 0031917757 scopus 로고    scopus 로고
    • New nested adaptive neural networks (NANN) for constitutive modeling
    • J. Ghaboussi D.E. Sidarta New nested adaptive neural networks (NANN) for constitutive modeling Comput Geotech 22 1998 29-52
    • (1998) Comput. Geotech. , vol.22 , pp. 29-52
    • Ghaboussi, J.1    Sidarta, D.E.2
  • 3
  • 4
    • 85021761250 scopus 로고
    • On the investigation of a multi-layer feedforward neural network model of rock deformability behavior
    • Fujii T, editor. Tokyo
    • Millar DL, Calderbank PA. On the investigation of a multi-layer feedforward neural network model of rock deformability behavior. In: Fujii T, editor. International congress on rock mechanics, Tokyo; 1995. p. 933-8.
    • (1995) International Congress on Rock Mechanics , pp. 933-938
    • Millar, D.L.1    Calderbank, P.A.2
  • 6
    • 0029309340 scopus 로고
    • Stress-strain modeling of sands using artificial neural networks
    • G.W. Ellis C. Yao R. Zhao D. Penumadu Stress-strain modeling of sands using artificial neural networks ASCE J Geotech Eng 121 5 1995 429-435
    • (1995) ASCE J. Geotech. Eng. , vol.121 , Issue.5 , pp. 429-435
    • Ellis, G.W.1    Yao, C.2    Zhao, R.3    Penumadu, D.4
  • 7
    • 0032786618 scopus 로고    scopus 로고
    • Triaxial compression behavior of sand and gravel using artificial neural networks (ANN)
    • D. Penumadu R. Zhao Triaxial compression behavior of sand and gravel using artificial neural networks (ANN) Comput Geotech 24 1999 207-230
    • (1999) Comput. Geotech. , vol.24 , pp. 207-230
    • Penumadu, D.1    Zhao, R.2
  • 8
    • 0013404979 scopus 로고    scopus 로고
    • Characterizing the 3D stress-strain behavior of sandy soils: A neuro mechanistic approach
    • Filz GM, Griffiths DV, editors. Geotechnical Special Publications no. 96 ASCE
    • Najjar Y, Zhang XC. Characterizing the 3D stress-strain behavior of sandy soils: A neuro mechanistic approach. In: Filz GM, Griffiths DV, editors. Numerical methods in geotechnical engineering; Geotechnical Special Publications no. 96, ASCE; 2000. p. 43-57.
    • (2000) Numerical Methods in Geotechnical Engineering , pp. 43-57
    • Najjar, Y.1    Zhang, X.C.2
  • 9
    • 0033428665 scopus 로고    scopus 로고
    • On the use of neuronets for simulating the stress-strain behavior of soils
    • Pande GN, Pietruszczak S, Schweiger HF, editors. Austria
    • Najjar YM, Ali HE. On the use of neuronets for simulating the stress-strain behavior of soils. In: Pande GN, Pietruszczak S, Schweiger HF, editors. 7th International symposium on numerical models in geomechanics, Austria; 1999. p. 657-62.
    • (1999) 7th International Symposium on Numerical Models in Geomechanics , pp. 657-662
    • Najjar, Y.M.1    Ali, H.E.2
  • 10
    • 0033106088 scopus 로고    scopus 로고
    • Application of neural networks to the modeling of some constitutive laws
    • S. Pernot C.H. Lamarque Application of neural networks to the modeling of some constitutive laws Neural Networks 12 1999 371-392
    • (1999) Neural Networks , vol.12 , pp. 371-392
    • Pernot, S.1    Lamarque, C.H.2
  • 11
    • 0035482783 scopus 로고    scopus 로고
    • Sensitivity analysis of neural networks in spool fabrication productivity studies
    • M. Lu S.M. AbouRizk U.H. Hermann Sensitivity analysis of neural networks in spool fabrication productivity studies ASCE J Comp Civil Eng 15 4 2001 299-308
    • (2001) ASCE J. Comp. Civil Eng. , vol.15 , Issue.4 , pp. 299-308
    • Lu, M.1    AbouRizk, S.M.2    Hermann, U.H.3
  • 12
    • 0001781794 scopus 로고
    • Artificial intelligent simulation and modeling: Critical survey
    • L.E. Widham K.A. Loparo N.R. Nielsen editor Wiley New York
    • L.E. Widham K.A. Loparo Artificial intelligent simulation and modeling: critical survey in: L.E. Widham K.A. Loparo N.R. Nielsen editor Artificial intelligence, simulation and modeling 1989 Wiley New York 1-45
    • (1989) Artificial Intelligence, Simulation and Modeling , pp. 1-45
    • Widham, L.E.1    Loparo, K.A.2
  • 13
    • 0033692230 scopus 로고    scopus 로고
    • Comparison of neural and conventional approach to mode choice analysis
    • T. Sayed A. Razavi Comparison of neural and conventional approach to mode choice analysis J ASCE Comp Civil Eng 14 1 2000 23-30
    • (2000) J. ASCE Comp. Civil Eng. , vol.14 , Issue.1 , pp. 23-30
    • Sayed, T.1    Razavi, A.2
  • 14
    • 0033707556 scopus 로고    scopus 로고
    • Artificial neural network for measuring organizational effectiveness
    • S.K. Sinha R.A. Mckim Artificial neural network for measuring organizational effectiveness ASCE J Comp Civil Eng 14 1 2000 9-14
    • (2000) ASCE J. Comp. Civil Eng. , vol.14 , Issue.1 , pp. 9-14
    • Sinha, S.K.1    Mckim, R.A.2
  • 15
    • 85084737696 scopus 로고
    • Sensitivity analysis for feedforward artificial neural networks with differentiable activity functions
    • IEEE Baltimore
    • S. Hashem Sensitivity analysis for feedforward artificial neural networks with differentiable activity functions International conference on neural network vol. 1 1993 IEEE Baltimore 419-429
    • (1993) International Conference on Neural Network , vol.1 , pp. 419-429
    • Hashem, S.1
  • 16
    • 33645170601 scopus 로고    scopus 로고
    • Effect of amount and shape of fines on steady-state behavior of sandy soils
    • PhD. dissertation, Sharif University of Technology, Iran
    • Yasrobi SS. Effect of amount and shape of fines on steady-state behavior of sandy soils. PhD. dissertation, Sharif University of Technology, Iran; 1996.
    • (1996)
    • Yasrobi, S.S.1
  • 17
    • 0024880831 scopus 로고
    • Multi-layer feedforward networks are universal approximator
    • K.M. Hornik M. Stinchcombe H. White Multi-layer feedforward networks are universal approximator Neural Networks 2 5 1994 359-366
    • (1994) Neural Networks , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.M.1    Stinchcombe, M.2    White, H.3
  • 18
    • 0028543366 scopus 로고    scopus 로고
    • Training feedforward networks with marquardt algorithm
    • M.T. Hagan M.B. Menhaj Training feedforward networks with marquardt algorithm IEEE Trans Neural Networks 5 6 1996 989-992
    • (1996) IEEE Trans. Neural Networks , vol.5 , Issue.6 , pp. 989-992
    • Hagan, M.T.1    Menhaj, M.B.2
  • 19
    • 0025782169 scopus 로고
    • Knowledge based modeling of material behavior with neural networks
    • J. Ghabousi J.R. Garett X. Wu Knowledge based modeling of material behavior with neural networks ASCE J Eng Mech 117 1 1991 132-153
    • (1991) ASCE J. Eng. Mech. , vol.117 , Issue.1 , pp. 132-153
    • Ghabousi, J.1    Garett, J.R.2    Wu, X.3
  • 20
    • 33645186865 scopus 로고    scopus 로고
    • Neural network based prediction of stress-strain behavior of sandy soils
    • MSc. Thesis, Tarbiat Modares University, Iran
    • Banimahd M. Neural network based prediction of stress-strain behavior of sandy soils, MSc. Thesis, Tarbiat Modares University, Iran; 2003.
    • (2003)
    • Banimahd, M.1
  • 22
    • 0003758738 scopus 로고
    • Probability and statistics in civil engineering
    • London: Collins
    • G.N. Smith Probability and statistics in civil engineering 1986 Collins London
    • (1986)
    • Smith, G.N.1
  • 23
    • 0003413187 scopus 로고    scopus 로고
    • Neural networks, a comprehensive foundation
    • Engglewood Cliffs: Prentice Hall International
    • S. Hykin Neural networks, a comprehensive foundation 1999 Prentice Hall International Engglewood Cliffs
    • (1999)
    • Hykin, S.1
  • 24
    • 0004122958 scopus 로고
    • Liquefaction of sands
    • Harvard soil mechanic series, no. 81, Cambridge, MA
    • Castro G. Liquefaction of sands. Harvard soil mechanic series, no. 81, Cambridge, MA; 1969.
    • (1969)
    • Castro, G.1
  • 25
    • 0027802377 scopus 로고
    • Liquefaction and flow failure during earthquakes
    • K. Ishihara Liquefaction and flow failure during earthquakes Geotechnique 43 3 1993 351-415
    • (1993) Geotechnique , vol.43 , Issue.3 , pp. 351-415
    • Ishihara, K.1
  • 26
    • 0031394346 scopus 로고    scopus 로고
    • Effects of non-plastic fines on static liquefaction of sands
    • P. Lade J. Yamamuro Effects of non-plastic fines on static liquefaction of sands Can Geotech J 34 6 1997 918-928
    • (1997) Can. Geotech. J. , vol.34 , Issue.6 , pp. 918-928
    • Lade, P.1    Yamamuro, J.2
  • 28
    • 0031597232 scopus 로고    scopus 로고
    • Effect of fines and confining stress on undrained shear strength of silty sands
    • S. Thevanayagam Effect of fines and confining stress on undrained shear strength of silty sands ASCE J Geotech Geoenvir Eng 124 6 1998 479-491
    • (1998) ASCE J. Geotech. Geoenvir. Eng. , vol.124 , Issue.6 , pp. 479-491
    • Thevanayagam, S.1
  • 29
    • 0344260375 scopus 로고
    • Rexamination of the effects of fine contents on the liquefaction characteristics of sands
    • Ishihara K, editors. Tokyo
    • Singh S. Rexamination of the effects of fine contents on the liquefaction characteristics of sands. In: Ishihara K, editors. International conference on earthquake geotechnical engineering, Tokyo; 1995. p. 829-31.
    • (1995) International Conference on Earthquake Geotechnical Engineering , pp. 829-831
    • Singh, S.1


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