Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

作     者：Wu, Chunli Liu, Hanbing Qin, Xuxi Tan, Guojin Gu, Zhengwei 

作者机构：Jilin Univ Coll Transportat Changchun 130021 Jilin Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS》 (国际计算智能系统杂志)

年 卷 期：2017年第10卷第1期

页      面：1066-1081页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金："985 Project" of Jilin University National High Technology Research and Development Program of China National Natural Science Foundation of China 

主　　题：damage identification multiple damage location assurance criterion improved differential evolution algorithm multi-stage method adaptive scaling factor 

摘      要：For the damage identification technique of civil structures, the reduction of the computational cost for methods based on the optimization algorithms is the most crucial step. In this study, a fast multi-stage method is developed that uses the multiple damage location assurance criterion and an improved differential evolution algorithm. In the new method, the suitable damage range is selected in different stages to reduce the computational cost of structural analysis. Five mutation operators are analysized not only in the basic differential evolution algorithm but also in the improved one. A new adaptive scaling factor with a segmented function is proposed which can operate the decay rate to avoid the premature phenomenon. The results of the study show that the precise locations and extents of structural damage are successfully realized. It is also shown that the multi-stage method using the improved differential evolution algorithm is substantially faster as compared to the basic one and can be used as an efficient and powerful measure of structural damage identification.