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论文类型：期刊论文

发表时间：2012-01-01

发表刊物：Electronic Journal of Geotechnical Engineering

收录刊物：EI、Scopus

卷号：17 Y

页面范围：3645-3655

ISSN号：10893032

摘要：In order to deal with the ill-posed problem of material parameter identification for rockfill materials, a procedure based on neural network is proposed. Duncan-Chang nonlinear constitutive model is adopted to characterize the behavior of the modeled rockfill materials. An analytical solution for computing the relationship between strain and vertical load is approached for simulating triaxial compression experiments. Based on neural network, the material parameters are determined from the triaxial compression experimental results. The investigation results show that the predicted strains provide satisfactory precision by comparing with observed ones. ? 2012, EJGE.