Particle swarm optimization (PSO) for structural damage detection

作者: Musa O. Abdalla

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摘要: A Particle Swarm Optimization (PSO) algorithm is examined to solve the inverse problem in structural health monitoring. The damage detection formulated as a PSO find damaged stiffness matrix that satisfies structure's eigenequation and satisfying necessary symmetry, sparsity, positive definiteness, localization constraints. Finally, technique compared Alternating Projection method estimating using simulated cantilever beam model.

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