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| An improved PSO algorithm for structural damage detection based on macro-economic control strategy |
| Revised:June 16, 2005 |
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| DOI：10.7511/jslx20081006 |
| KeyWord:structural damage detection,particle swarm optimization(PSO),algorithm,macro-economic control strategy,premature convergence |
| YU Ling WAN Zu-yong ZHU Hong-ping |
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| Abstract: |
| Structural damage detection is a very important process for structural health monitoring.It is often converted into a constrained optimization problem in mathematics.In this paper,an improved Particle Swarm Optimization(IPSO) algorithm is proposed for structural damage detection based on macro-economic control strategy,which aims to increase its convergence rate and thereby to obtain an acceptable solution of the premature convergence problem that is easy to occur in the later phase of the general PSO algorithm.The IPSO algorithm was empirically studied with a suite of four well-known benchmark functions,and further examined with both numerical simulations about single and multi-damage of a 2-story rigid frame and some experiments on a 3-story building model.The illustrated results show that the improved PSO algorithm is effective and applicable to the structural damage detection. |
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