岩体非线性随机反分析优化算法的研究  

Optimization Method for Nonlinear Stochastic Back Analysis of Rock Mass Displacement

作　　者：刘世君[1] 蒋中明[1] 徐卫亚[1] 高明军[1] 

机构地区：[1]河海大学岩土工程研究所,南京210098

出　　处：《三峡大学学报（自然科学版）》2002年第3期202-205,共4页Journal of China Three Gorges University：Natural Sciences

基　　金：国家自然科学基金 (50 1 2 890 8);法国国家科研中心 (CNRS)资助

摘　　要：运用最优化理论 ,通过构造公差准则函数序列 ,在近似可行概念和非线性加速单纯形法的基础上 ,得出了三维非线性位移随机反分析的伸缩保养法 岩体的性态采用弹塑性 开裂模型描述 ,考虑工程中实测位移的随机波动性 ,应用随机反分析的目标函数 非线性迭代采用收敛稳定的子增量变Kp 法In the view of the optimal theory and the concept of approximate feasibility and a series of common difference friterion functions,and based on the nonlinear accelerant simplex method ,a nonlinear displacement stochastic back analysis model of rock mass named flexible tolerance method is obtained The method is wide in adaptability,quick in convergence and high in efficiency Considering the randomness of measurement deformation and material parameters,the object functio of nonlinear displacement stochastic back analysis is applied Elastoplastic and cracked model is applied to rock mass,nonlinear iteration uses increment changeable K p method An enineering example is given to denote the effectiveness and feasibility of the method

关 键 词：岩体 非线性 随机分析 优化算法 最优化理论 

分 类 号：TU452[建筑科学—岩土工程]