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Date:2019-03-09

Indexed by:Journal Article

Date of Publication:2014-03-01

Journal:JOURNAL OF VIBROENGINEERING

Included Journals:EI、SCIE

Volume:16

Issue:2

Page Number:685-693

ISSN:1392-8716

Key Words:wavelet theory; genetic algorithms; artificial seismic wave; the target response spectrum

Abstract:A new model is proposed based on wavelet theory and genetic algorithms (GAs) in order to improve precision of artificial seismic wave. This model was mainly divided into three parts. Firstly, Mallat method was used to decompose power spectral density function with wavelet base. Then the initial artificial seismic wave was synthesized based on wavelet theory. Thirdly, the iteration processes of artificial seismic wave synthesis were optimized by genetic algorithms. Two numerical examples were given. The first numerical example mainly focuses on the analysis for the initial artificial seismic wave synthesis based on wavelet theory. And the second example mainly focuses on the analysis for the iterative process of artificial seismic wave synthesis based on genetic algorithms. Compared with the conventional method of cosine superposition, this model has smaller error between the calculated acceleration response spectrum and the target response spectrum and can be applied in engineering.