Modeling approaches to pressure balance dynamic system in shield tunneling  

作　　者：李守巨 于申 屈福政 

机构地区：[1]State Key Laboratory of Structural Analysis for Industrial Equipment (Dalian University of Technology) [2]School of Mechanical Engineering, Dalian University of Technology

出　　处：《Journal of Central South University》2014年第3期1206-1216,共11页中南大学学报（英文版）

基　　金：Project(2013CB035402) supported by the National Basic Research Program of China;Projects(51105048,51209028) supported by the National Natural Science Foundation of China

摘　　要：In order to deal with modeling problem of a pressure balance system with time-delay, nonlinear, time-varying and uncertain characteristics, an intelligent modeling procedure is proposed, which is based on artificial neural network(ANN) and input-output data of the system during shield tunneling and can overcome the precision problem in mechanistic modeling(MM) approach. The computational results show that the training algorithm with Gauss-Newton optimization has fast convergent speed. The experimental investigation indicates that, compared with mechanistic modeling approach, intelligent modeling procedure can obviously increase the precision in both soil pressure fitting and forecasting period. The effectiveness and accuracy of proposed intelligent modeling procedure are verified in laboratory tests.In order to deal with modeling problem of a pressure balance system with time-delay, nonlinear, time-varying and uncertain characteristics, an intelligent modeling procedure is proposed, which is based on artificial neural network （ANN） and input-output data of the system during shield tunneling and can overcome the precision problem in mechanistic modeling （MM） approach. The computational results show that the training algorithm with Gauss-Newton optimization has fast convergent speed. The experimental investigation indicates that, compared with mechanistic modeling approach, intelligent modeling procedure can obviously increase the precision in both soil pressure fitting and forecasting period. The effectiveness and accuracy of proposed intelligent modeling procedure are verified in laboratory tests.

关 键 词：intelligent modeling neural network pressure balance system excavation chamber analytically modeling approach 

分 类 号：U455.43[建筑科学—桥梁与隧道工程]