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随机有限断层法模拟中强地震近场强震动的参数影响研究
引用本文:高阳,潘华,汪素云.随机有限断层法模拟中强地震近场强震动的参数影响研究[J].地震学报,2014,36(4):698-710.
作者姓名:高阳  潘华  汪素云
作者单位:中国北京 100081 中国地震局地球物理研究所
基金项目:大型先进压水堆核电站国家科技重大专项(2011ZX06002-010)资助
摘    要:介绍了模拟地震动时程的随机有限断层法及近年来对该方法的改进,改进后的随机有限断层法适合模拟中强地震;比较了不同场地方位角的中强地震近场地震动时程与平均伪加速度反应谱(PSA);定量分析了中强地震近场地震动模拟结果的参数敏感性. 结果表明:不同场地方位角的中强地震近场PSA在短周期部分差别较大;应力降是模型中最重要的参数,其对反应谱短周期部分影响最大;几何扩散系数对PSA的整体影响也较为明显. 将随机有限断层法应用到工程安全性评价工作中时,应当重点关注对反应谱短周期部分影响较大的应力降和该区域的几何扩散系数,同时要调查该区域优势场地方位角的分布,更加合理地控制中强地震近场强震动的模拟. 

关 键 词:随机有限断层法    近场    中强地震    参数敏感性
收稿时间:2013-07-01

Effect of parameters on near-fault ground-motion simulations for moderate-strong earthquakes by stochastic finite-fault method
Institution:Institute of Geophysics, China Earthquake Administration,Beijing 100081, China
Abstract:This paper described stochastic finite-fault method and related improvements which have been widely used in simulating acceleration time histories. The improved method is more suitable for the simulation of moderate-strong earthquakes. And then we compared the time histories and average PSA (pseudo-acceleration response spectra) of near-fault moderate-strong earthquakes for different site azimuths so as to analyze parametric sensitivity quantitatively to near-fault ground-motion simulations for moderate-strong earthquakes using the revised program. The results show that PSA values are apparenly different at short period for different site azimuths, and stress drop is the most important model parameter, which controls response spectra at short period. In addition, the geometric-spreading coefficient has a significant impact on PSA. Therefore, in order to get more accurate simulations for the near-fault moderate-strong earthquakes we should focus on stress drop and geometric-spreading coefficient which have great influence on PSA values at short period when applying stochastic finite-fault method to the seismic safety evaluation of moderate earthquakes. And the distribution of dominating site azimuths is another factor which should also be considered in this situation. 
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