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Record-based simulation of three-component long-period ground motions: Hybrid of surface wave separation and multivariate empirical mode decomposition
Abstract Far-field long-period ground motion (LPGM) records are critical for the performance evaluation of high-rise buildings in the LPGM potential area. However, the typical LPGM records are extremely scarce because of their harsh formation condition (e.g., large magnitude earthquake and basin site). To this end, this study develops a novel record-based approach for simulating three-component LPGMs based on the combination of Hilbert spectra theory, surface wave separation method, and multivariate empirical mode decomposition (MEMD). To be specific, the recorded three-component LPGMs are first divided into surface waves and body waves via the particle polarization-based separation method. Then, MEMD is introduced to decompose these body waves into a set of intrinsic mode functions (IMFs) with a well mode-alignment attribute. Finally, the Hilbert spectra theory is employed to explain the characteristics of the recorded three-component LPGMs, thereby realizing the corresponding simulation. This developed method not only embodies the surface wave polarization feature effectively, but also can well reflect body wave time-frequency characteristics. Numerical examples based on the measured three-component LPGM records demonstrate the effectiveness of the proposed method. Therefore, this method may be an effective way to provide adequate LPGM inputs in the structural performance evaluation.
Highlights Record-based simulation method for three-component LPGMs is developed. The particle polarization-based method is used to extract the surface wave. Multivariate empirical mode decomposition is used in the analysis of body waves.
Record-based simulation of three-component long-period ground motions: Hybrid of surface wave separation and multivariate empirical mode decomposition
Abstract Far-field long-period ground motion (LPGM) records are critical for the performance evaluation of high-rise buildings in the LPGM potential area. However, the typical LPGM records are extremely scarce because of their harsh formation condition (e.g., large magnitude earthquake and basin site). To this end, this study develops a novel record-based approach for simulating three-component LPGMs based on the combination of Hilbert spectra theory, surface wave separation method, and multivariate empirical mode decomposition (MEMD). To be specific, the recorded three-component LPGMs are first divided into surface waves and body waves via the particle polarization-based separation method. Then, MEMD is introduced to decompose these body waves into a set of intrinsic mode functions (IMFs) with a well mode-alignment attribute. Finally, the Hilbert spectra theory is employed to explain the characteristics of the recorded three-component LPGMs, thereby realizing the corresponding simulation. This developed method not only embodies the surface wave polarization feature effectively, but also can well reflect body wave time-frequency characteristics. Numerical examples based on the measured three-component LPGM records demonstrate the effectiveness of the proposed method. Therefore, this method may be an effective way to provide adequate LPGM inputs in the structural performance evaluation.
Highlights Record-based simulation method for three-component LPGMs is developed. The particle polarization-based method is used to extract the surface wave. Multivariate empirical mode decomposition is used in the analysis of body waves.
Record-based simulation of three-component long-period ground motions: Hybrid of surface wave separation and multivariate empirical mode decomposition
Liu, Shuoyu (author) / Jiang, Yan (author) / Qiao, Ke (author) / Peng, Liuliu (author) / Liu, Duote (author)
2023-05-13
Article (Journal)
Electronic Resource
English
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