摘要
基于M allat算法,将地震动加速度时程采用2阶基数B-样条小波分解,以寻找对峰值速度及峰值加速度影响最大的小波分量,并在此基础上,通过改进调整地震动的时频小波分析法与时域叠加小波函数法,以实现对D-V-A联合谱、峰值加速度(PGA)及峰值速度(PGV)的拟合。算例结果表明,该方法具有很高的拟合精度。
By discomposed real recorded earthquake ground motion into a finite number of wavelet components which represent different frequency bands through Mallat algorithm,the wavelet component which affects mostly the peak ground motion velocity（PGV）and peak ground motion acceleration（PGA）can be identified.And by improving the Time-Frequency wavelet analysis method（TFWA）and Time domain synthesizing wavelet method（TDSW）,a new adjusting method of ground motion was proposed to match the target D-V-A combined spectra and PGA,PGV simultaneously.The results of the numerical example show this algorithm has high calculation precision.
出处
《世界地震工程》
CSCD
北大核心
2011年第2期83-87,共5页
World Earthquake Engineering
基金
国家973重点基础研究发展计划项目(2007CB714202)
国家自然科学基金项目面上工程项目(50478045)
