关键词: 计算机应用, 支持向量机, 灰色粒子群算法, 结构损伤识别

Abstract: A structural damage identification method based on the support vector machine and the particle swarm algorithm was proposed.The functional expressions for the crack damage index,the damage location,the eigenvibration modes and first order eigenfrequency were derived by the support vector machine.The differences between the vibration frequency and modes derived from the obtained expressions and the measured ones were taken as the optimization objective to identify the structure damage.In order to improve the precision of the damage identification,the optimization objective was transformed into a multiobjective optimization problem which was solved by the proposed grey particle swarm algorithm.The proposed identification method was proved to be effective by experiments.

Key words: computer application, support vector machine, grey particle swarm algorithm, structural damage detection