摘要
旨在提出一种土的非线性弹性本构模型参数反演的方法。以现今普遍实行的地基载荷试验为基础,依据遗传算法的组合优化理论,采用正演计算和遗传算法优化相结合的方式,建立了土层非线性弹性本构模型参数反演的方法;并依据某黄土场地地基载荷试验数据,实施了黄土土层非线性弹性本构模型参数反演的全过程。计算结果表明,所建立的方法可以实现土层非线性弹性本构模型中相互关联的多个参数的组合优化,并在对初始值要求较低的情况下,可以获得良好的参数反演精度。从而为土的变形特性分析和土与其中及相邻结构的共同作用分析,提供了较好的土体本构模型参数的确定方法。
This paper aims to present a back - analysis method on parameter of soil nonlinear elastic constitutive models. The study is based on the coincident optimization theory of the genetic algorithm, and the commonly used foundation loading experiment. A parameter back analysis method is established on the nonlinear elastic constitutive models of soils by means of joining together the forward computation and the genetic optimization algorithm. Meanwhile, the data from the foundation load experiment of loess stratum are used. To implement the progress of the parameter back - analysis for the nonlinear elastic constitutive model of loess stratum. The results show that the proposed method can accomplish the coincident optimization of much relative parameters in the nonlinear elastic constitutive model of soil. It does give a good estimation without imposing any stringent requirements on the initial values of parameters. Therefore, for analyzing the deformation characteristics and the interaction characteristic of soils and the structures, the paper provides a good method to define the constitutive model parameters of the soils.
出处
《工程地质学报》
CSCD
2008年第3期338-341,共4页
Journal of Engineering Geology
基金
陕西省重点实验室基金资助项目(05JS19)
关键词
土层非线性弹性本构模型
参数反演
组合优化
Nonlinear elastic constitutive model, soil mechanics, Parameter back - analysis, Coincident optimization
