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加速度均方根地震动统计研究
引用本文:高丽霞,周锡元,董娣,徐国栋,贺秋梅.加速度均方根地震动统计研究[J].防灾减灾工程学报,2006,26(3):251-256.
作者姓名:高丽霞  周锡元  董娣  徐国栋  贺秋梅
作者单位:1. 北京工业大学北京工程抗震与结构诊治重点实验室,北京,100022
2. 北京工业大学北京工程抗震与结构诊治重点实验室,北京,100022;北京工业大学抗震减灾研究所,北京,100022
摘    要:根据美国加州等地的强震记录,采用回归分析方法研究了加速度记录水平、竖向分量的峰值加速度(PGA)和一定时间窗内加速度均方根(SRSTM S)的衰减规律。所采用的加速度记录共795组(两水平向与一竖向)2 385条。对作为地震危险性分析的主要参数PGA的衰减规律与SRSTM S的衰减规律作了详细的研究,结果表明,SRSTM S的离散性明显的小于PGA,因此建议将SRSTM S的衰减关系应用于地震动强度的危险性分析。

关 键 词:峰值加速度PGA  均方根SRSTMS  强震地面运动  衰减规律
文章编号:1672-2132(2006)03-0251-06
收稿时间:2005-12-02
修稿时间:2005-12-29

Study on Statistical Characteristic of Ground of Square Root of Mean Squares
GAO Li-xia,ZHOU Xi-yuan,DONG Di,XU Guo-dong,HE Qiu-mei.Study on Statistical Characteristic of Ground of Square Root of Mean Squares[J].Journal of Disaster Prevent and Mitigation Eng,2006,26(3):251-256.
Authors:GAO Li-xia  ZHOU Xi-yuan  DONG Di  XU Guo-dong  HE Qiu-mei
Institution:1. Beijing Key laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing 100022, China 2. Institute of Earthquake Engineering and Disaster Reduction,Beijing University of Technology , P, eijing 100022, China
Abstract:Based on the observed data of strong motion acceleration in California and other states of USA,the attenuation pattern of peak horizontal and vertical acceleration and square root of short time mean squares is studied by regressive analyzing method.795 group(three dimensional) acceleration records are selected to conduct attenuation pattern statistic analysis for PGA and square root of mean short time squares.The attenuation law of the main parameter of PGA in seismic hazard analysis and square root of short time mean squares of acceleration are studied in details in this paper.It is observed that the variance of the square root of short time mean square is less than that of PGA.Thus the square root of short time mean square is suggested to be used for describing the intensity attenuation characteristics in hazard analysis.
Keywords:peak acceleration  square root of short time mean squares  strong ground motion  attenuation pattern
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