Structural multi-damage identification based on strain energy and micro-search artificial fish swarm algorithm

Journal of Vibroengineering

Huiyong Guo¹ 

[1] School of Civil Engineering, Chongqing University, Chongqing 400045, P. R. China;

关键词: damage identification;    artificial fish swarm algorithm;    modal strain energy;    visual distance;    step length;   

DOI  :  10.21595/jve.2017.17503

来源: DOAJ

【 摘 要 】

A two-stage damage detection method based on strain energy and micro-search artificial fish swarm algorithm (MSAFSA) is presented for solving structural multi-damage problem. First, structural modal strain energy and energy dissipation process are analyzed and an improved modal strain energy dissipation ration index (IMSEDRI) is proposed to preliminarily detect suspected damage elements. Then, artificial fish swarm algorithm (AFSA) is used to identify damage extent of suspected damage elements. In general, the search efficiency of a basic AFSA isn’t very efficient for the search procedure. So, a micro-search artificial fish swarm algorithm is presented in this paper. The simulation results demonstrate that the damage detection method can estimate the damage locations and extent with good accuracy, and the calculated results of the proposed MSAFSA are obviously superior to those of both the basic AFSA and the AFSA with visual-step change strategy.

【 授权许可】

Unknown