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EMPIRICAL MODE DECOMPOSITION OF EARTHQUAKE ACCELEROGRAMS

机译:地震加速度计的经验模态分解

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This article analyzes the strong motion records of past earthquakes by empirical mode decomposition (EMD) technique. The recorded earthquake acceleration time histories are decomposed into a finite number of empirical modes of oscillation. The instantaneous frequency and amplitude of these modes and evolutionary power spectral density (PSD) is estimated from the Hilbert-Huang transform (HHT). Strong motion parameters such as spectral and temporal centroid, spectral and temporal standard deviation, Arias intensity, correlation coefficient of frequency and time are derived from the evolutionary PSD. The variation of these parameters with magnitude, distance and shear wave velocity of the recording station is reported. Empirical equations to estimate these six ground motion parameters are derived from the strong motion data by regression analysis. These equations can be used by engineers to estimate the design ground motion.
机译:本文通过经验模态分解(EMD)技术分析了过去地震的强运动记录。记录的地震加速时间历史被分解为有限数量的经验振荡模式。这些模式的瞬时频率和幅度以及进化功率谱密度(PSD)是根据希尔伯特-黄变换(HHT)估算的。强大的运动参数,例如频谱和时间的质心,频谱和时间的标准偏差,Arias强度,频率和时间的相关系数,都是从进化的PSD中得出的。报告了这些参数随记录站的大小,距离和剪切波速度的变化。通过回归分析从强运动数据中推导出估计这六个地面运动参数的经验方程。工程师可以使用这些方程式估算设计地震动。

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