A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection

作     者：Pan, Chu-Dong Yu, Ling Chen, Ze-Peng Luo, Wen-Feng Liu, Huan-Lin 

作者机构：Jinan Univ Dept Mech & Civil Engn Guangzhou 510632 Guangdong Peoples R China Jinan Univ MOE Key Lab Disaster Forecast & Control Engn Guangzhou 510632 Guangdong Peoples R China 

出 版 物：《SMART STRUCTURES AND SYSTEMS》 (Smart Struct. Syst.)

年 卷 期：2016年第17卷第6期

页      面：957-980页

核心收录：

学科分类：08[工学] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：National Natural Science Foundation of China [51278226  50978123] 

主　　题：structural damage detection (SDD) firefly algorithm Nelder-Mead algorithm self-adaptive finite element model (FEM) 

摘      要：Structural damage detection (SDD) is a challenging task in the field of structural health monitoring (SHM). As an exploring attempt to the SDD problem, a hybrid self-adaptive Firefly-Nelder-Mead (SA-FNM) algorithm is proposed for the SDD problem in this study. First of all, the basic principle of firefly algorithm (FA) is introduced. The Nelder-Mead (NM) algorithm is incorporated into FA for improving the local searching ability. A new strategy for exchanging the information in the firefly group is introduced into the SA-FNM for reducing the computation cost. A random walk strategy for the best firefly and a self-adaptive control strategy of three key parameters, such as light absorption, randomization parameter and critical distance, are proposed for preferably balancing the exploitation and exploration ability of the SA-FNM. The computing performance of the SA-FNM is evaluated and compared with the basic FA by three benchmark functions. Secondly, the SDD problem is mathematically converted into a constrained optimization problem, which is then hopefully solved by the SA-FNM algorithm. A multi-step method is proposed for finding the minimum fitness with a big probability. In order to assess the accuracy and the feasibility of the proposed method, a two-storey rigid frame structure without considering the finite element model (FEM) error and a steel beam with considering the model error are taken examples for numerical simulations. Finally, a series of experimental studies on damage detection of a steel beam with four damage patterns are performed in laboratory. The illustrated results show that the proposed method can accurately identify the structural damage. Some valuable conclusions are made and related issues are discussed as well.