【摘要】 利用PEER强震记录数据库,确定了一类实用的随机地震动模型的参数概率分布。依据GB50011-2010规定的场地类别,对4438条实测地震动记录进行分组。引用系统识别方法对不同场地上的地震动记录进行参数识别,据此结果,对工程地震动物理随机函数模型的基本参数进行了统计分析,给出了随机地震动模型参数的概率分布密度。对基本随机参数的概率空间进行剖分,结合波群叠加方法生成地震动时程,计算获得了随机地震动反应谱。通过比较随机反应谱和实测地震动反应谱的统计特征量,验证了地震动物理随机函数模型及基本随机参数统计结果的正确性。更多还原

【Abstract】 Applying the PEER NGA Database,the parametric probability distributions of the random function model of seismic ground motions are presented.According to the site classification in GB50011-2010,4438 ground motion records are classified.The sample values of the stochastic parameters are identified on different site classes using the system identification method.Based on the parametric identification results,the statistic analysis of the stochastic parameters in the random function model of seismic ground motions is made,and the probability density functions of the stochastic parameters are obtained.Selecting the representative point sets in the probability space of the random function parameters,the sample sets of the seismic ground motions are generated with the application of the superposition method of wave groups and the response spectrum sample sets are calculated.The statistical feature comparisons of response spectra between the realistic ground motion records and the synthesized ground motion samples show the validity of the random function model and the statistic results of the physical random parameters.更多还原