| 强震地面运动频谱特性的统计分析 |
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| 引用本文： | 刘小弟,王亚勇.强震地面运动频谱特性的统计分析[J].地震研究,1988(4). |
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| 作者姓名： | 刘小弟 王亚勇 |
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| 作者单位： | 中国建筑科学研究院工程抗震研究所 北京
(刘小弟)，中国建筑科学研究院工程抗震研究所 北京(王亚勇) |
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| 摘 要： | 本文利用国内外56次地震的147个重要地面运动加速度记录进行统计回归分析,得到反映强震地面运动加速度富氏振幅谱和伪速度反应谱与地震震级、震中距和记录场地条件的统计关系。这些记录中7级以上大震、震中距小于20公里的近场记录和基岩场地上的记录占有一定比例,统计样本各类数据的分布比较合理。采用场地等效固有周期(以下简称场地固有周期)代替常用的场地分类形式进行统计,在一定程度上克服了场地分类标准不明确的缺点。场地固有周期依据地质钻探资料计算,从而能比较准确地反映与场地特征有关的强震地面运动的频谱特征随震级、震中距和场地固有周期的变化规律,为实际工程应用和抗震理论研究提供可靠的经验公式。
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| 关 键 词： | 强震 频谱 统计分析 |
A STATISTICAL ANALYSIS OF SPECTRUM CHARACTERISTICS OF STRONG GROUND MOTION |
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| Liu Xinorli Wang Yayong.A STATISTICAL ANALYSIS OF SPECTRUM CHARACTERISTICS OF STRONG GROUND MOTION[J].Journal of Seismological Research,1988(4). |
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| Authors: | Liu Xinorli Wang Yayong |
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| Abstract: | In this paper, 1.47 important recordings of ground motion aecelcration from 56 events occurred at home and abroad are used to make a statistical regression analysis, so as to obtain the statistical relations between Fourier spectra and the false velocity spectra that reflect the strong ground motion and magnitude, cpicentral distance and field recording condition. Among those recordings there is a portion obtained at near field and on basement rock with magnitude larger than 7 and epicentral distance less than 20 km. Within statistical specimens, cach set of data has a comparatively reasonable distribution. In the statistical process the equivalent inherent period of field is used to substitute the conventional field classification, so as to overcome the shortcomings of field classification without an obvious criterion to a certain degree. The field inherent period is calculated by geological dr lling data, so that variation regulations of spectrum characteristics of strong ground motion (that are related to field feature) with magnitude, epicentral distance and field inherent period can be indicated correctly, offering a reliable empirical equation for the practical engineering application and for the theoretical study of earthquake resistance. |
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| Keywords: | Strong earthqauke Frequency spectrum Statistical analysis |
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