三维初始地应力场反分析的径向基函数法

›› 2002, Vol. 23 ›› Issue (6): 737-741.

三维初始地应力场反分析的径向基函数法

蒋中明^１，２，徐卫亚^１

1. 河海大学岩土工程研究所，江苏南京 210098； 2. 三峡大学土木水电学院, 湖北宜昌 443002

收稿日期:2001-11-26 出版日期:2002-12-10 发布日期:2016-09-04
作者简介:蒋中明男，1969年生，博士，讲师，主要从事岩土工程研究工作。

3-D back-analysis of initial ground stress based on ANN-RBF

JIANG Zhong-ming^1,2, XU Wei-ya¹

1.Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China; 2. College of Civil & Hydropower Engineering, China Three Gorges University, Yichang 443002, China

Received:2001-11-26 Online:2002-12-10 Published:2016-09-04

摘要/Abstract

摘要： 通过对初始地应力场计算方法的回顾，提出了基于径向基函数的人工神经网络初始地应力场的三维反分析方法。径向基网络的可以避免在反分析过程中出现过拟合现象,从而保证反分析结果更加可靠.此外,该方法综合了目前各种初始地应力场模拟方法的优点，并考虑了多种因素对地应力场分布的影响。实例证明，由作者提出方法所模拟的初始地应力场是合理的，精确度也较高。此外，由于考虑了断层的作用对初始地应力场的影响，可以较好地解释实测地应力值分散的原因。

关键词: 人工神经网络, 径向基函数, 初始地应力场, 三维反分析

Abstract: Most of the methods which used to estimate the initial ground stress are reviewed. A new approach integrating the theory of finite element method and theory of artificial neural network based on radial basis function (RBF-ANN) was suggested to simulated the initial ground stress. Over fitting could be avoided by using ANN-RBF during the back analysis process. The new approach based on the 3D-FEM integrated the advantage of other methods and took into account of the influence of diverse factors including fault on the initial ground stress. Therefore, back-analysis results are more reliability. Case study shows that the reasonability of initial ground stress simulated by using this approach. In addition, the faults have been considered in 3D-FEM model to evaluate the influence on the initial ground stress and it is helpful to understand the distributing law of initial ground stress.

Key words: artificial neural network, radial basis function, initial ground stress, 3D back-analysis

中图分类号:

TU 452

蒋中明，徐卫亚,. 三维初始地应力场反分析的径向基函数法[J]. , 2002, 23(6): 737-741.

JIANG Zhong-ming , XU Wei-ya,. 3-D back-analysis of initial ground stress based on ANN-RBF[J]. , 2002, 23(6): 737-741.

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