节点文献
岩土本构模型识别的仿生算法研究
Study on bionics algorithm for geo-material constitutive model identification
【摘要】 从岩土材料弹塑性本构模型的通式出发,把本构模型类内识别问题转化成一个典型的参数辨识问题,并采用新近提出的对参数辨识具有良好性能的新型仿生算法——免疫进化规划进行了弹塑性模型类内识别研究,提出了一个新的模型识别进化方法。一个标准算例证明,所提方法具有良好的模型识别效果,能仅在已知量测位移的情况下,得到理想的模型形式,具有潜在的工程应用价值。
【Abstract】 From the united constitutive law of geo-material elastoplastic model, the problem of model identification among one model type is transformed to a problem of parameter identification. So, using the new bionics algorithm, immune evolutionary programming (IEP), proposed by authors recently, the elastoplastic model identification among one model type is studied; and a new model identification method is proposed. At last, this method is verified by a numerical example. The results show that this method can get the suitable geo-material model when only displacements are known.
【Key words】 the united constitutive law; model identification; bionics algorithm; immune evolutionary programming (IEP);
- 【文献出处】 岩土力学 ,Rock and Soil Mechanics , 编辑部邮箱 ,2004年01期
- 【分类号】TU45
- 【被引频次】33
- 【下载频次】537