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Ground motion prediction equations for Algeria and surrounding region using site classification based H/V spectral ratio

机译:基于现场分类的H / V光谱比的阿尔及利亚和周围地区的地面运动预测方程

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The present work is exclusively based on recorded data provided by the Algerian and the European strong ground-motion database. These data contain 1391 records homogeneously processed with more than 700 records in Algeria and the rest from essentially the Mediterranean region, with distance and magnitude ranging from 5 to 150 km and 3.0 to 7.4 respectively. An emphasis is given to the proposal of appropriate ground motion prediction equation (GMPE) for Algeria and surrounding region considering site classification. This latter is based on the predominant period computed using average horizontal to vertical spectral ratio response (H/V). Four site categories are defined according to Zhao et al. (Bull Seismol Soc Am 96:914-925, 2006) classification scheme. Due to the insufficient number of records for very soft soil, one considers three soil classes for the computation of the empirical predictive spectral ground motion relations: rock, firm and soft. Two cases are studied; the first one considers only local data (52.84% with 3.0 = M = 6.8) which serves to illustrate the limits of considering only the country's borders, while in the second case, the regional data is added (47.16% with M = 5.2) to investigate its influence on the reliability and the robustness of the developed model. A truncation distance criteria is applied with respect to the magnitude and the distance values associated with each data. The obtained results show that (1) the model based on local data overestimates the predicted accelerations for larger magnitude, while the model based on regional data is in good agreement with the last published models; (2) among the four soil classes, the amplitudes and the shapes of the mean H/V spectral ratios are significantly different. Furthermore, the peaks in the period range are reasonably similar to those of site periods defined for each site class by Zhao et al. (2006); (3) the standard deviation decreases compared to the original rock/soil class
机译:本工作完全基于阿尔及利亚和欧洲强大的地面运动数据库提供的记录数据。这些数据包含在阿尔及利亚的700多条记录的1391条记录,其余的来自基本上是地中海地区,距离和幅度分别为5至150公里和3.0至7.4。考虑到网站分类,对阿尔及利亚和周围地区的适当地面运动预测等式(GMPE)的提议提供了重点。该后者基于使用水平水平的平均水平计算到垂直光谱比响应(H / V)的主要时间。根据Zhao等人定义了四个站点类别。 (公牛Seismol Soc AM 96:914-925,2006)分类方案。由于对非常软土的记录数量不足,因此考虑了三种土壤课程,用于计算经验预测光谱地面行动关系:岩石,坚固和柔软。研究了两种情况;第一个认为只有本地数据(52.84%,3.0 = m& = 6.8),该数据用于说明仅考虑该国的边界的限制,而在第二个案例中,添加区域数据(47.16% & = 5.2)调查其对开发模型的可靠性和鲁棒性的影响。关于与每个数据相关联的幅度和距离值施加截断距离标准。所获得的结果表明,(1)基于本地数据的模型高估预测的加速度,以实现更大的幅度,而基于区域数据的模型与上一个已发布的模型非常一致; (2)在四种土壤类别中,平均h / v光谱比的幅度和形状显着不同。此外,周期范围内的峰值与Zhao等人的每个站点类定义的站点周期相似。 (2006); (3)与原始岩石/土壤类别相比,标准偏差降低

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