Application of Simulated Annealing Particle Swarm Optimization in Response Spectrum Fitting of Simulated Earthquake Wave

Abstract:

In order to get a simulated earthquake wave whose response spectrum fitted well to the smooth design response spectrum, a model was established by making the standard error between the response spectrum of simulated earthquake wave and the design response spectrum as the minimal optimization objective. Simulated annealing particle swarm optimization algorithm, which was an improvement algorithm of particle swarm optimization, was used to solve the model. This spectrum fitting method was compared with the conventional spectrum fitting method, which adjusted Fourier amplitude spectrum in frequency domain. The results show that the method of response spectrum fitting by applying simulated annealing particle swarm optimization algorithm has a good convergence. And the response spectrum of simulated earthquake wave generated by simulated annealing particle swarm optimization algorithm agrees better with the design response spectrum than that by conventional spectrum fitting method.

• Periodical: Applied Mechanics and Materials (Volumes 444-445)
• Pages: 1082-1086
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.444-445.1082
• Online since: October 2013
• Authors: Xue Ni Wang, Jing Zhou
• Keywords: Response Spectrum, Simulated Annealing Particle Swarm Optimization Algorithm, Simulated Earthquake Wave

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