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Simulation of non-stationary ground motion processes (II)
引用本文:梁建文. Simulation of non-stationary ground motion processes (II)[J]. 地震学报(英文版), 2005, 18(3): 368-374. DOI: 10.1007/s11589-005-0087-8
作者姓名:梁建文
作者单位:Department of
基金项目:National Natural Science Foundation of China (50378063) and Excellent Young Teachers Program of Ministry of Education.
摘    要:Introduction When doing Monte Carlo analysis of stochastic earthquake response of nonlinear structures, it is necessary to have a great number of ground motion processes with an identical statistical feature; In theoretical analysis of earthquake resistance of structures, to study the effect of one parameter, it is required to keep other parameters fixed, and it is often needed one set of ground motion proc-esses having an identical statistical feature; Similarly, while doing structural model…

收稿时间:2003-10-22
修稿时间:2004-05-09

Simulation of non-stationary ground motion processes (II)
Liang Jian-wen. Simulation of non-stationary ground motion processes (II)[J]. Acta Seismologica Sinica(English Edition), 2005, 18(3): 368-374. DOI: 10.1007/s11589-005-0087-8
Authors:Liang Jian-wen
Affiliation:Department of Civil Engineering, Tianjin University, Tianjin 300072, China
Abstract:This paper proposes a method for simulation of non-stationary ground motion processes having the identical statis-tical feature, time-dependent power spectrum, with a given ground motion record, on the basis of review of simu-lation of non-stationary ground motion processes. The method has the following advantages: the sample processes are non-stationary both in amplitude and frequency, and both the amplitude and frequency non-stationarity depend on the target power spectrum; the power spectrum of any sample process does not necessarily accord with the tar-get power spectrum, but statistically, it strictly accords with the target power spectrum. Finally, the method is veri-fied by simulation of one acceleration record in Landers earthquake.
Keywords:non-stationary ground motion processes  simulation  time-dependent power spectrum  evolu-tionary power spectrum  Morlet wavelet power spectrum
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