城市地质Issue(z1)：42-45,105,5.
岩石本构模型智能辨识方法研究
Research on the intelligent identiifcation method of constitutive model
翟淑花 1张亮 1丁桂伶 1张梅花2
作者信息
- 1. 北京市地质研究所，北京 100120
- 2. 亚太建设科技信息研究院有限公司，北京 100120
- 折叠
摘要
Abstract
Constitutive model of rock is the basis for the study of mechanical characteristics and deformation mechanism, while, the identification of model or its parameter is an important problem needing to be solved. In this paper, based on laboratory experiment date of the red slate, genetic algorithm, BP neural network and genetic programming were used to identify the constitutive model, these results show that the results of genetic algorithm have large error, coming from constitutive structure presumption in advance. While, BP neural network and genetic programming can deifne the structure and parameters of constitutive model at single time, which can avoid the error form constitutive structure presumption. Furthermore, genetic programming offers some reference for constitutive model identiifcation, which has more advantages than BP neural network, such as high precision, fast convergence and good visual display.关键词
本构模型/智能识别/遗传算法/BP神经网络/遗传规划Key words
Constitutive model/intelligent identiifcation/genetic algorithm/BP neural network/genetic programming分类
建筑与水利引用本文复制引用
翟淑花,张亮,丁桂伶,张梅花..岩石本构模型智能辨识方法研究[J].城市地质,2015,(z1):42-45,105,5.
