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基于小波-Galerkin方法的结构随机动力响应功率谱的确定
引用本文:孔凡,李杰.基于小波-Galerkin方法的结构随机动力响应功率谱的确定[J].计算力学学报,2013,30(2):173-179,197.
作者姓名:孔凡  李杰
作者单位:1. 同济大学土木工程学院,上海,200092
2. 同济大学土木工程学院,上海200092;同济大学土木工程防灾国家重点实验室,上海200092
基金项目:国家自然科学基金委创新研究群体科学基金(50621062)资助项目.
摘    要:在最近发展的周期广义谐和小波PGHW(Periodic Generalized Harmonic Wavelet)的基础上,通过小波-Galerkin方法推导得到了线性单自由度结构的随机动力响应功率谱密度。在此过程中,利用PGHW的解析形式及其在频域内的特殊性:(1)推导得出了PGHW的联系系数(Connection Coefficient)的解析形式;(2)基于PGHW及其联系系数,利用小波-Galerkin方法推导得到了线性单自由度系统在确定性激励下的响应;(3)得到了在具有演变功率谱的随机动力激励下单自由度线性振子的随机响应功率谱解答。数值算例表明,无论是确定性响应解答,还是随机动力响应的功率谱密度,小波-Galerkin法的计算结果均能较好地吻合数值解。

关 键 词:小波变换  谐和小波  联系系数  小波-Galerkin  功率谱密度
收稿时间:2/9/2012 12:00:00 AM
修稿时间:9/2/2012 12:00:00 AM

Power spectrum determination of system response via the Wavelet-Galerkin technique
KONG Fan and LI Jie.Power spectrum determination of system response via the Wavelet-Galerkin technique[J].Chinese Journal of Computational Mechanics,2013,30(2):173-179,197.
Authors:KONG Fan and LI Jie
Institution:School of Civil Engineering, Tongji University, Shanghai 200092;School of Civil Engineering, Tongji University, Shanghai 200092;State Key Laboratory Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
Abstract:This paper presents a wavelet-Galerkin technique based approach for the determination of the power spectrum density (PSD) of the response of the SDOF system subject to stochastic excitation.Specifically,first the Periodic Generalized Harmonic Wavelet (PGHW) is presented and the connection coefficients of the PGHW are derived,based on the analytical form and the orthogonality of the wavelets.Further,the deterministic response of the system is obtained via the wavelet-Galerkin technique and the connection coefficients.Next,based on the relationship between the mean square value of the wavelet coefficients and the power spectrum density of the stochastic process,the excitation-response PSD relationship is derived.Finally,the numerical example demonstrates the reliability of the approach over the pertinent Monte Carlo simulation.
Keywords:wavelet transform  harmonic wavelet  connection coefficients  Wavelet-Galerkin  power spectral density
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