基于遗传算法的渗流与应力场耦合参数识别

Xianghui Deng, Rui Wang
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引用次数: 0

摘要

对于岩石力学和土木工程来说,如何获得渗流场和应力场的参数是非常复杂的,也是分析渗流场和应力场耦合问题的关键。因此,本文的目的是研究能同时获得两个场参数的参数反演方法。在实测水头和位移的基础上,结合遗传算法,提出了渗流-应力场耦合参数反演方法。考虑水库水位下降的情况,以实测数据作为渗流与应力耦合分析结果,进行了参数反演分析。结果表明,逆分析方法和计算程序在该工程实例中是有效可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameters identification of coupled seepage and stress field based on genetic algorithms
For rock mechanics and civil engineering, how to obtain the parameters in seepage field and stress field is very complicated and key for analyzing the coupling problem of seepage field and stress field. Therefore, aim of this paper is to study the parameter inversion method with which the parameters of two fields can be obtained. On the basis of the hydraulic heads and displacements measured, combining with genetic algorithm, the parameter inversion method of coupled seepage and stress field is putting forward. Considering the condition of drawdown of reservoir water level, according to results of coupled seepage and stress analysis assumed to be the measured data, the parameter inversion analysis was made. The results show that the method and calculation program of inverse analysis are valid and feasible in this engineering example.
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