摘要
采用线性滤波器法中的AR法模拟生成了地震动场和风场的时程信号。由于AR算法具有很高的计算效率,但模拟精度却不理想,故引入小波分析中的小波分解方法和小波包分解方法对AR算法模拟的信号进行调整,并对这两种方法改进的效果进行对比。算例分析表明由改进的AR法得到的样本信号频谱与目标谱吻合良好,且发现小波包分解方法调整信号具有比小波分解方法更好的精度。
The time histories signals in earthquake motion field and wind field were simulated with the help of AR (autoregression)method.In view of the deficiency of low accuracy by use of AR method,the signals simulated were modified by wavelet decomposition as well as wavelet packet decomposition methods.The improvement measures were discussed in detail.Several examples show that the simulated spectra by the improved AR method are in good agreement with the corresponding target spectra.Furthermore,the signals modified by the wavelet packet decomposition method are of better precision than those modified by the wavelet decomposition method.
出处
《振动与冲击》
EI
CSCD
北大核心
2010年第8期64-72,共9页
Journal of Vibration and Shock
基金
国家自然科学基金重大研究计划培育项目(90715005)
教育部新世纪优秀人才支持计划(NCET-07-0186)
教育部博士点基金(200802860007)
关键词
AR法
数值模拟
地震动场
风场
小波分解
小波包分解
AR method
numerical simulation
earthquake motion field
wind field
wavelet decomposition
wavelet packet decomposition
