A Structural Reliability Analysis Approach for Uncertain Structures via a PSO-DE Hybrid Algorithm

Abstract:

A structural reliability analysis approach for uncertain structures based on a PSO-DE hybrid algorithm was proposed. In order to analyze the structural non-probabilistic reliability for structures with uncertain parameters, an optimization problem by using the convex model and the penalty function method was formulated. For better convergence speed and precision, the particle swarm optimization (PSO) algorithm and the differential evolution (DE) algorithm were combined to solve the structural reliability optimization problem, this PSO-DE hybrid algorithm was based on the evolution of the cognitive experience. The numerical examples were presented to demonstrate the effectiveness and accuracy of the proposed structural reliability analysis method.

• Periodical: Applied Mechanics and Materials (Volume 574)
• Pages: 702-707
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.574.702
• Online since: July 2014
• Authors: Chan Hyok Jong, Guang Wei Meng, Feng Li*, Li Ming Zhou, Yan Hao, Yong Su Kong
• Keywords: Convex Model, Differential Evolution, Non-Probabilistic Reliability Index, Particle Swarm Optimization (PSO), Structural Reliability, Uncertainty

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