基于遗传算法的岩体参数辨识研究  

Research on Parameter Identification of Rock Mass Based on Genetic Algorithms

作　　者：邓祥辉[1] 

机构地区：[1]西安工业大学建工学院,陕西西安710032

出　　处：《数学的实践与认识》2010年第6期71-76,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金委;二滩水电开发有限责任公司雅砻江水电开发联合研究基金(50579092);西安工业大学校长基金(XAGDXJJ0822)

摘　　要：目前,对于岩体流固耦合分析研究已经很多,而耦合分析常常受困于计算参数的取值,因此对两场耦合模型中的计算参数反演分析是非常必要的.根据实测的水头、位移资料,利用遗传算法,建立了等效连续岩体渗流场与应力场耦合计算参数辨识模型.并对某算例在库水位下降情况下,以渗流场与应力场耦合正分析计算结果作为"实测值",进行两场耦合参数辨识分析.从参数辨识的结果来看,验证了所提出的思路、方法以及程序的正确性和可行性.两场耦合计算参数进行反演分.析,对于两场耦合模型的建立和计算结果的可靠性是非常有意义的.It is very complicated to analyze the Coupling problem of seepage field and stress field for rock mass of equivalent continuum.Meanwhile,it is a very difficult and key problem in the rock mechanics and civil engineering how to obtain the parameters in seepage field,stress field and two field coupling models.On the basis of the heads and displacements measured,combined with genetic algorithm,this paper puts forward parameters identification method of coupled seepage and stress field.On the condition of drawdown of reservoir water level in some example,the parameters identification analysis is made according to analysis results of coupled seepage and stress assumed to be the measured data.The validity and feasibility of the inverse thought,method and calculation program are verified.The parameters of coupled seepage and stress fields analyzed which is very important to build the coupled seepage and stress fields model and improve the reliability of calculation.

关 键 词：等效连续岩体 渗流与应力耦合分析 遗传算法 参数辨识 

分 类 号：O357.3[理学—流体力学]