振幅
比例(比率)
分解
瞬时相位
鉴定(生物学)
信号(编程语言)
旋转(数学)
脉搏(音乐)
时频分析
地震工程
地震动
物理
声学
计算机科学
地质学
地震学
人工智能
光学
计算机视觉
生态学
滤波器(信号处理)
探测器
生物
量子力学
程序设计语言
植物
作者
Yulong Geng,Wuchuan Pu
标识
DOI:10.1016/j.soildyn.2023.107977
摘要
Pulse-like earthquake ground motions may cause great seismic demands in engineering structures, and identifying these ground motions is significant in earthquake engineering. The intrinsic time-scale decomposition (ITD) is a self-adaptive time-frequency decompaction method that decomposes signals into proper rotation components. The instantaneous frequency and amplitude of the components are well defined, and the temporal information of frequency and amplitude has the exact resolution with the time-scale of extreme of the original signal. ITD was introduced in this study to decompose the non-stationary earthquake ground motion signals. A procedure for filtering and extracting the low-frequency pulses was constructed, and a quantitative criterion for classifying the pulse-like ground motions was proposed. The proposed method was tested on many ground motions and compared with the existing classification methods. The proposed method was demonstrated as an effective way to identify the pulse-like ground motion records, which can be readily implemented in earthquake engineering practices.
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