摘要
动力测桩中需要同时对桩长、波速等多个参数进行反演估算,这是个较困难的问题。为此,运用遗传算法的基本原理,提出一种动力测桩中完整桩多参数反演问题的遗传算法。动力测桩多参数反演问题可归结为一个非线性优化问题,采用传统的非线性优化方法很容易使目标函数处于局部极小域,很难取得较好的效果,而利用遗传算法具有自组织、自适应和自学习等智能特性,可以得到满意解,且收敛速度较快,利用Matlab工具箱进行了实例计算,表明此法既简单精度又高,是一种行之有效的计算方法。
In pile dynamic testing, the parameters such as pile length, wave velocity must be calculated, and it is a difficult problem. Multiparameters reverse deduces for integrated pile in dynamic testing is a nonlinear optimization problem. It is not easily solved by traditional optimization methods because the problem is a convex programming. These methods often make the target function be placed in secondly optimization zones and can not get the good result. On the contrary, the genetic algorithm is a new optimization method which mimic the nature evaluation and can solve the problem accurately and quickly. Based on the main principle of the genetic algorithm and the properties of selforganizing, selfadaptation and selfstudy, the authors put forward a genetic algorithm to solve the problem of multiparameters reverse deduce for integrated pile in dynamic testing. With the toolbox of Matlab, several examples are calculated. The method is simple and precise.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第11期126-129,共4页
Journal of Chongqing University
关键词
桩基
遗传算法
反演
动力测试
pile
genetic algorithm
reverse deduce
dynamic testing
