Structural Model Identification Using a Modified Electromagnetism-Like Mechanism Algorithm

Sensors

Zhengtao Ye¹  Zhengqing Chen¹  Yang Lin¹  Zhouquan Feng¹  Xugang Hua¹  Wenzan Wang¹ 

[1] Key Laboratory of Wind and Bridge Engineering of Hunan Province, College of Civil Engineering, Hunan University, Changsha 410082, China;

关键词: structural model identification;    electromagnetism-like mechanism;    modal data;    optimization;   

DOI  :  10.3390/s20174789

来源: DOAJ

【 摘 要 】

A modified electromagnetism-like mechanism (EM) algorithm is proposed to identify structural model parameters using modal data. EM is a heuristic algorithm, which utilizes an attraction–repulsion mechanism to move the sample points towards the optimal solution. In order to improve the performance of original algorithm, a new local search strategy, new charge and force calculation formulas, new particle movement and updating rules are proposed. The test results of benchmark functions show that the modified EM algorithm has better accuracy and faster convergence rate than the original EM algorithm and the particle swarm optimization (PSO) algorithm. In order to investigate the applicability of this approach in parameter identification of structural models, one numerical truss model and one experimental shear-building model are presented as illustrative examples. The identification results show that this approach can achieve remarkable parameter identification even in the case of large noise contamination and few measurements. The modified EM algorithm can also be used to solve other optimization problems.

【 授权许可】

Unknown