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Correlation of Arias intensity with amplitude, duration and cumulative intensity measures

机译:Arias强度与振幅,持续时间和累积强度量度的相关性

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This manuscript examines the correlation of Arias intensity (AI) with nine amplitude-, duration-, and cumulative-based ground motion intensity measures. The correlations are determined using ground motions from active shallow crustal earthquakes in the NGA-West1 database, and recently developed ground motion prediction equations (GMPEs). Multiple GMPE combinations and bootstrap sampling are used to explicitly consider correlation uncertainties due to model selection and finite sample effects, respectively. It is shown that AI is highly correlated with high-frequency amplitude-based intensity measures and negatively correlated with significant duration intensity measures. AI also has a strong, but not perfect, correlation with cumulative absolute velocity (CAV), which is also a cumulative measure of ground motion severity. Particular attention is given to the physical interpretation of the observed correlations of AI and other intensity measures, often in comparison to those obtained with CAV. Parametric equations are developed to enable the obtained correlations to be easily used in applications such as ground motion selection and vector hazard analysis. (C) 2015 Elsevier Ltd. All rights reserved.
机译:该手稿检查了Arias强度(AI)与基于振幅,持续时间和累积的九种地面运动强度测度的相关性。使用NGA-West1数据库中活跃的浅地壳地震的地震动和最近开发的地震动预测方程(GMPE)来确定相关性。多个GMPE组合和自举采样分别用于显式考虑由于模型选择和有限样本效应而引起的相关不确定性。结果表明,AI与基于高频幅度的强度度量高度相关,而与显着的持续时间强度度量负相关。 AI与累积绝对速度(CAV)也具有很强但不完美的相关性,这也是地面运动严重性的累积量度。与通过CAV获得的结果相比,通常特别注意观察到的AI和其他强度测量值之间的相关性的物理解释。开发了参数方程式,以使获得的相关性易于在诸如地面运动选择和矢量危害分析等应用中使用。 (C)2015 Elsevier Ltd.保留所有权利。

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