长江科学院院报2011，Vol.28Issue(6)：50-54,5.
用微进化算法反演岩石蠕变模型非定常参数
Microevolution Algorithm for Inversion of Non-stationary Parameters in Rock Creep Model
彭汝发 1许小健1
作者信息
- 1. 芜湖市勘察测绘设计研究院,安徽,芜湖,241000
- 折叠
摘要
Abstract
Rock creep model generally contains several parameters. To obtain the global optimal solution of the parameters, Microevolution Algorithm (MA) was employed for the inversion of non-stationary parameters. In this paper, parameters of the creep model are directly inversed with the least square error between measured creep values and calculated creep values as the optimization criterion function. The computation results demonstrate that microevolution algorithm can maximize the use of all test data and avoid the difficulty of selecting initial parameters in traditional optimization algorithm. Moreover, microevolution algorithm is simple and effective, and offers higher accuracy than Chaos Particle Swarm Optimization (CPSO). In this sense, it can be applied to the inversion of parameters in other creep models and has high application value for engineering.关键词
岩石蠕变模型/非定常参数反演/微进化算法Key words
rock creep model/ inversion of non-stationary parameter/ microevolution algorithm分类
建筑与水利引用本文复制引用
彭汝发,许小健..用微进化算法反演岩石蠕变模型非定常参数[J].长江科学院院报,2011,28(6):50-54,5.
