非线性材料本构模型结构和参数的耦合进化识别

Evolutionary Recognition of Structure and Parameters of Nonlinear Material Constitutive Model

在引入进化思想的基础上 ,利用进化算法全局最优搜索特点 ,结合非线性力学分析方法 ,提出了材料非线性本构模型结构和参数的耦合进化识别算法 ,对复杂的非线性材料本构模型进行全局识别·复合材料非线性本构模型的识别结果表明了该方法的科学性 。

Constitutive models of engineering materials are mainly characterized with highly nonlinear. Recognition of their structures and parameters is a search problem with multimodal and large parameter space. How to get the global trustable solution becomes the key point. A new approach evolutionary concept was introduced. Using the global optimum features of evolutionary algorithms, combining with nonlinear mechanical analysis method, a new algorithm for evolutionary recognition of structure and parameters of nonlinear material constitutive model was proposed to perform global optimum recognition of nonlinear material constitutive model. Also the constitutive model of composites was recognized as a example. The results approved the validity of the new method. This algorithm provides a new method for study of nonlinear material.