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Development of a quantitative strong motion prediction technique based on simple site effect evaluation methods with sufficient accuracy

开发基于简单场地效应评估方法且具有足够精度的定量强运动预测技术

基本信息

批准号：
11450211
负责人：
KAWASE Hiroshi
金额：
$ 4.16万
依托单位：
Kyushu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2001
项目状态：
已结题

项目摘要

The purpose of the project is to propose a quantitative strong motion prediction technique based on simple site effect evaluation methods with sufficient accuracy in order to use these predicted strong motions as inputs to structures for aseismic design. The strong motion prediction technique based on a physical modeling of source, path, and site effects may have wide applicability so that it is suitable for a scenario type evaluation of strong ground motions. However, it requires many physical parameters, especially information on local site conditions, in order to produce quantitative synthetics. In this project we propose various methods that yield quantitative site effects.To this end we use strong motion data observed by K-NET in Kyushu and separate source, path, and site effects to generate statistical Green' s functions. Combining them with ordinary wave summation technique we show that we can successfully reproduce observed strong motions during the Hyogo-ken Nanbu earthquake, the Kagoshima-ken Hokuseibu earthquake, and the Tottori-ken Seibu earthquake. Then we use site amplification factors to invert S-wave velocity structures underneath by Genetic Algorithm. At the same time we obtain horizontal-to-Vertical spectral ratios (HVRs) for P-wave part, S-wave part, and Coda part and compare them with observed site amplification factors, theoretical S-wave amplification factors, and theoretical HVRs for Rayleigh wave. We found that observed HVRs show quite good correlation with observed site amplification factors. Based on these information we propose a highly accurate technique for strong ground motions that can be sued for aseismic design of structures.

该项目的目的是提出一种基于简单的场地效应评估方法的定量强震预测技术，具有足够的准确性，以便将这些预测的强震作为结构抗震设计的输入。基于震源、路径和场地效应物理模拟的强震预测技术具有广泛的适用性，适合于强地面运动的情景型评估。然而，它需要许多物理参数，特别是当地的网站条件的信息，以产生定量的合成。在本项目中，我们提出了各种方法，产生定量的场地效应。为此，我们使用K-NET在九州观测到的强震数据，并分离源，路径和场地效应，以产生统计绿色函数。结合它们与普通的波求和技术，我们表明，我们可以成功地再现观测到的强震在兵库县南部地震，鹿儿岛县北西武地震，鸟取县西武地震。然后利用场地放大因子，采用遗传算法反演地下横波速度结构。同时，我们得到的水平-垂直频谱比（HVR）的P波部分，S波部分，尾波部分，并将它们与实测场地放大因子，理论S波放大因子，理论HVR的瑞利波。我们发现，观察到的HVR显示出相当好的相关性与观察到的网站放大因子。基于这些信息，我们提出了一个高精度的强地面运动的技术，可以起诉的结构抗震设计。