Abstract:

To improve the ability of structural damage detection and its noise restraining ability, damage detection was transferred into optimization problem by the concept of residual force vector. And the multiobjective model was proposed for structural damage detection. Because of its higher dimensions, the improved grey particle swarm algorithm was presented to improve the model precision. The experiment on structural damage detection of cantilever beam shows that the proposed method is efficient on damage detection.

Key words: grey particle swarm algorithm, residual force vector, structural damage detection