Parameter Inversion of Constitutive Model of Soil Using Neural Networks

被引：0

作者：

Wang, Jizhe ^{[1
]}

Li, Shouju ^{[2
]}

Cui, Juan ^{[2
]}

Man, Lintao ^{[2
]}

机构：

[1] Dalian Med Univ, Affiliated Hosp 2, Dalian 116027, Peoples R China

[2] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China

来源：

ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 | 2011年 / 105卷

关键词：

Soil constitutive model; Parameter identification; Neural network; Tangent modulus of soil;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural network models are developed for estimating model parameters of conditioned soils in EBP shield. The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function representing the difference between the experimental data and the calculated data of the mechanical model. The models are found to have good predictive ability and are expected to be very useful for estimating model parameters of conditioned soils in EBP shield.

引用

页码：417 / +

页数：2

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