PARAMETER ESTIMATING APPROACH FOR CONDITIONED SOILS IN EPB SHIELD BY USING ARTIFICIAL NEURAL NETWORKS

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 weights of neural network are trained by using the Levenberg-Marquardt approximation which has a fast convergent ability. The parameter identification results illustrate that the proposed neural network has not only higher computing efficiency but also better identification accuracy. The results from the model are compared with simulated observations. 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.

关键词： Soil constitutive model Parameter identification Neural network Tangent modulus of soil Hyperbolic response curve

作者: SHOUJU LI SHANXIN ZHAN WEI SUN

作者单位: State Key Laboratory of Structural Analysis for Industrial, Dalian University of Technology, Dalian School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 1118-1128

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）