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A new model for artificial seismic wave synthesis
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论文类型: 期刊论文
发表时间: 2014-03-01
发表刊物: JOURNAL OF VIBROENGINEERING
收录刊物: SCIE、EI
卷号: 16
期号: 2
页面范围: 685-693
ISSN号: 1392-8716
关键字: wavelet theory; genetic algorithms; artificial seismic wave; the target response spectrum
摘要: 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.

陈健云

教授   博士生导师   硕士生导师

性别: 男

毕业院校:大连理工大学

学位: 博士

所在单位:水利工程系

学科:水工结构工程. 防灾减灾工程及防护工程. 结构工程. 工程管理

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