弹塑性位移反分析的遗传算法研究  

THE GENETIC-ALGORITHM-BASED APPROACH TO BACK ANALYSIS OF DISPLACEMENT PARAMETERS OF ELASTO-PLASTIC MODEL FOR ROCK MASS

作　　者：丁德馨[1] 张志军[1] 孙钧[2] 

机构地区：[1]南华大学建筑工程与资源环境学院,衡阳421001 [2]同济大学结构工程学院,上海200092

出　　处：《工程力学》2003年第6期1-5,共5页Engineering Mechanics

基　　金：国家自然科学基金资助项目(50274043);湖南省自然科学基金重点资助项目(01JJY1004);湖南省教育厅重点资助项目(01A015)

摘　　要：弹塑性位移反分析问题的目标函数具有多个极小值, 用常规的数学优化方法求解该优化问题时,时常出现陷入局部极小而无法继续寻优的状态。为了克服这一缺陷,应用遗传算法原理建立了弹塑性位移反分析的遗传算法,并应用其对所设定的弹塑性问题进行了反演,反演结果的精度达90%以上。The objective function of back analysis of displacement parameters of the elastoplastic model for rock mass has many minimums. When the conventional mathematical optimization methods are employed to solve the problem, the search often falls in one of the minimums and cannot go any further. In order to avoid the situation, the principles of genetic algorithm have been utilized to establish a genetic-algorithm-based approach to the back analysis problem. The approach has been used to inverse the mechanical parameters of a prescribed elastoplastic model and the accuracy of the results reach ninety percent.

关 键 词：岩体力学 弹塑性位移反分析 遗传算法 岩体力学参数 

分 类 号：TU452[建筑科学—岩土工程]