Macrospatial Correlation Model of Seismic Ground Motions
Macrospatial Correlation Model of Seismic Ground Motions
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DOI：
10.1193/1.2083887
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发表时间：
2005-11
影响因子：
5
通讯作者：
Min Wang;T. Takada
中科院分区：
文献类型：
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作者：
Min Wang;T. Takada
估计地震动烈度的宏观空间相关性对于震害预测、建筑物组合分析等是非常重要的，因此必须同时考虑不同位置的破坏。这项研究的重点是地面运动强度的观测值和预测值之间的残差值的空间相关性，该残差值是通过经验平均衰减关系来估计的。残差值的建模方式是，假设地震动烈度的联合概率密度函数(PDF)构成均匀的二维随机场，则可以用空间相关模型和经验平均衰减关系来描述它。本文利用近年来日本和台湾地区密集的地震观测资料，提出了宏观空间相关性模型，并验证了同质性假设。
It is very important to estimate a macrospatial correlation of seismic ground motion intensities for earthquake damage predictions, building portfolio analyses etc., whereby damage in different locations has to be taken into account simultaneously. This study focuses on spatial correlation of the residual value between an observed and a predicted ground motion intensity, which is estimated by an empirical mean attenuation relationship. The residual value is modeled in such a way that the joint probability density function (PDF) of seismic ground-motion intensity can be characterized by the spatial correlation model as well as an empirical mean attenuation relationship, assuming that it constitutes a homogeneous two-dimensional stochastic field. Using the dense observation data of earthquakes that occurred in Japan and Taiwan in recent years, the macrospatial correlation model is proposed and the assumption of homogeneity is verified in this paper.