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Volumn , Issue 1615, 1998, Pages 86-93

Neural network modeling of anisotropic aggregate behavior from repeated load triaxial tests

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; ANISOTROPY; BACKPROPAGATION; DEFORMATION; ELASTIC MODULI; FEEDFORWARD NEURAL NETWORKS; GRANULAR MATERIALS; LEARNING SYSTEMS; LOAD TESTING; MATHEMATICAL MODELS; STRAIN; STRESSES;

EID: 0032130999     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1615-12     Document Type: Article
Times cited : (31)

References (25)
  • 3
    • 0025389568 scopus 로고
    • Response of Granular Soil Along Constant Stress Increment Ratio Path
    • March
    • Lo, S-C. R., and I. K. Lee. Response of Granular Soil Along Constant Stress Increment Ratio Path. Journal of Geotechnical Engineering, Vol. 116, No. 3, March 1990, pp. 355-376.
    • (1990) Journal of Geotechnical Engineering , vol.116 , Issue.3 , pp. 355-376
    • Lo, S.-C.R.1    Lee, I.K.2
  • 4
    • 0001846583 scopus 로고    scopus 로고
    • Anisotropic Modeling of Granular Bases in Flexible Pavements
    • TRB, National Research Council, Washington, D.C.
    • Tutumluer, E., and M. R. Thompson. Anisotropic Modeling of Granular Bases in Flexible Pavements. In Transportation Research Record 1577, TRB, National Research Council, Washington, D.C., 1997, pp. 18-26.
    • (1997) Transportation Research Record 1577 , pp. 18-26
    • Tutumluer, E.1    Thompson, M.R.2
  • 9
    • 0024900678 scopus 로고
    • Influence of Aggregate Shape on Base Behavior
    • TRB, National Research Council, Washington, D.C.
    • Barksdale, R. D., and S. Y. Itani. Influence of Aggregate Shape on Base Behavior. In Transportation Research Record 1227, TRB, National Research Council, Washington, D.C., 1989, pp. 173-182.
    • (1989) Transportation Research Record 1227 , pp. 173-182
    • Barksdale, R.D.1    Itani, S.Y.2
  • 10
    • 0003945380 scopus 로고
    • NCHRP Project 1-26, Final Report, Phase 2, TRB, National Research Council, Washington D.C., microfiche
    • Calibrated Mechanistic Structural Analysis Procedure for Pavements. NCHRP Project 1-26, Final Report, Phase 2, TRB, National Research Council, Washington D.C., 1992, microfiche.
    • (1992) Calibrated Mechanistic Structural Analysis Procedure for Pavements
  • 11
    • 0041868092 scopus 로고
    • Technical Final Report S-75-16, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Miss.
    • 0 Testing in Cohesionless Soils. Technical Final Report S-75-16, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Miss., 1975.
    • (1975) 0 Testing in Cohesionless Soils
    • Hussaini, M.M.1    Townsend, F.C.2
  • 14
    • 33745493372 scopus 로고
    • Anisotropic Elastic Parameters for Soil
    • Pickering, D. J. Anisotropic Elastic Parameters for Soil. Geotechnique, Vol. 20, No. 3, 1970, pp. 271-276.
    • (1970) Geotechnique , vol.20 , Issue.3 , pp. 271-276
    • Pickering, D.J.1
  • 17
    • 0025782169 scopus 로고
    • Knowledge-Based Modeling of Material Behavior with Neural Networks
    • Ghaboussi, J., J. H. Garrett, and X. Wu. Knowledge-Based Modeling of Material Behavior with Neural Networks. Journal of Engineering Mechanics, Vol. 117, No. 1, 1991, pp. 132-153.
    • (1991) Journal of Engineering Mechanics , vol.117 , Issue.1 , pp. 132-153
    • Ghaboussi, J.1    Garrett, J.H.2    Wu, X.3
  • 18
    • 0026711890 scopus 로고
    • Neural Network Modeling of the Mechanical Behavior of Sand
    • College Station, Tex.
    • Ellis, G. W., C. Yao, and R. Zhao. Neural Network Modeling of the Mechanical Behavior of Sand. Proc., 9th Conference on Engineering Mechanics, College Station, Tex., 1992, pp. 421-424.
    • (1992) Proc., 9th Conference on Engineering Mechanics , pp. 421-424
    • Ellis, G.W.1    Yao, C.2    Zhao, R.3
  • 20
    • 0030283895 scopus 로고    scopus 로고
    • Attempt at Resilient Modulus Modeling Using Artificial Neural Networks
    • TRB, National Research Council, Washington, D.C.
    • Tutumluer, E., and R. W. Meier. Attempt at Resilient Modulus Modeling Using Artificial Neural Networks. In Transportation Research Record 1540, TRB, National Research Council, Washington, D.C., 1996, pp. 1-6.
    • (1996) Transportation Research Record 1540 , pp. 1-6
    • Tutumluer, E.1    Meier, R.W.2
  • 23
    • 3743074916 scopus 로고    scopus 로고
    • Analysis of Resilient Modulus of Dense- and Open-Graded Aggregates
    • TRB, National Research Council, Washington, D.C.
    • Heydinger, A. G., Q. Xie, B. W. Randolph, and J. D. Gupta. Analysis of Resilient Modulus of Dense- and Open-Graded Aggregates. In Transportation Research Record 1547, TRB, National Research Council, Washington, D.C., 1996, pp. 1-6.
    • (1996) Transportation Research Record 1547 , pp. 1-6
    • Heydinger, A.G.1    Xie, Q.2    Randolph, B.W.3    Gupta, J.D.4
  • 24
    • 0024880831 scopus 로고
    • Multilayer Feedforward Networks Are Universal Approximators
    • Hornik, K., M. Stinchcombe, and H. White. Multilayer Feedforward Networks Are Universal Approximators. Neural Networks 2, 1989, pp. 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.