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Correlation of the Emergency Handling Peak Ground Acceleration (PGA) for High-speed Railway and Strong-motion Indices using K-net Data

机译:使用K-NET数据的高速铁路和强运动指数的紧急处理峰接地加速度(PGA)的相关性

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The emergency handling Peak Ground Acceleration (PGA) has been used as a measure of braking for High-speed Railway (Shinkansen) during earthquake in Japan, and it necessitates to know the correlation between PGA and other strong motion indices, e.g. un-filtered Peak Ground Acceleration (PGA_u), Japan Meteorological Agency seismic instrumental intensity (I_(JMA)), Spectrum Intensity (SI), Arias Intensity (I_a), Cumulative Absolute Velocity (CAV), and Cumulative Differential of Energy (DE). The PGA and other ground motion indices were calculated using the selected data set from K-net, in which consists of 2714 three-component records selected from 16 earthquake events occurred in Japan. The relationships between the PGA, and PGA_u, I_(JMA), SI, I_a, CAV, and DE were then derived performing a linear regression analysis. Our Results indicate that the PGA shows higher correlation with I_(JMA) or SI than other ground motion indices, which may be useful for deployment of new parameters of emergency handling during earthquake for High-speed Railway.
机译:紧急处理峰值加速度(PGA)已被用作在日本地震期间制动为高速铁路(新干线)的量度,并且它需要知道PGA等强运动指数,例如之间的相关性未经过滤的地面加速度峰值(PGA_u),日本气象厅地震仪器烈度(I_(JMA)),光谱强度(SI),阿里亚斯强度(I_A),累计绝对速度(CAV),以及能源的累积差(DE) 。的PGA和其他地面运动指数使用来自K-净所选择的数据集,其中,由来自16个地震事件选择2714三分量记录在日本发生计算。的PGA,和PGA_u,I_(JMA),SI,I_A,CAV,和DE之间的关系然后导出执行线性回归分析。我们的研究结果表明,与I_(JMA)或SI比其他地面运动指数,地震对高速铁路在此期间,其可以用于应急处理的新参数部署有用的PGA显示出较高的相关性。

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