A new optimization algorithm for inverse analysis to material parameters

摘要：

the inverse analysis to material parameters is often translated into an optimization for an objective function, based on the correlation between the material parameters and the foregone information. But mostly because of the non-linear correlation, a good optimization algorithm with the capabilities to avoid being trapped by local optima is required during the process of optimization. So the present paper proposes a new global optimization algorithm, which couples the dynamic canonical descent algorithm and the improved Powells algorithm. The high efficiency of the new algorithm is shown on four known problems classically for testing optimization algorithms and finally, in the non-linear inverse analysis, the new algorithm is used for optimizing an objective function to get material parameters rightly.

关键词： global optimization inverse analysis material parameters non-linear

作者: Yinghui LU Shuilin WANG Hao JIANG Xiurun Ge

作者单位: Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Physical and Numerical Simulation of Materials Processing(第五届材料与热加工物理模拟及数值模拟国际会议)

会议地点: 郑州

会议语种:英文

在线出版日期: 2007-10-23（万方平台首次上网日期，不代表论文的发表时间）