{"title":"利用小波包对脉冲样地动进行随机模拟","authors":"Zhuo Wang, Duruo Huang","doi":"10.1785/0120230190","DOIUrl":null,"url":null,"abstract":"Seismic near‐fault ground motions with large amplitudes and long‐period velocity pulses can cause significant damage to structures. In this study, a new stochastic model has been developed to simulate pulse‐like ground motions for specified earthquake scenarios. Wavelet packet transform is employed to extract and model the velocity pulse. The parameters of the proposed model are fitted to Next Generation Attenuation (NGA)‐West2 pulse‐like ground‐motion database. A group of predictive equations are established to predict occurrence time, frequency content, and total energy of the velocity pulse in terms of earthquake magnitudes, rupture distances, site conditions, and directivity parameters. The correlation relationships among the model parameters are also estimated to jointly simulate pulse and residual components based on specified earthquake scenarios. The model’s capacity to stochastically simulate pulse‐like motions is demonstrated by systematic comparison with real pulse‐like recordings and existing ground‐motion prediction equations. The proposed method can find applications in seismic analyses of key infrastructures in the near‐field region.","PeriodicalId":9444,"journal":{"name":"Bulletin of the Seismological Society of America","volume":"81 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stochastic Simulation of Pulse‐Like Ground Motions Using Wavelet Packets\",\"authors\":\"Zhuo Wang, Duruo Huang\",\"doi\":\"10.1785/0120230190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Seismic near‐fault ground motions with large amplitudes and long‐period velocity pulses can cause significant damage to structures. In this study, a new stochastic model has been developed to simulate pulse‐like ground motions for specified earthquake scenarios. Wavelet packet transform is employed to extract and model the velocity pulse. The parameters of the proposed model are fitted to Next Generation Attenuation (NGA)‐West2 pulse‐like ground‐motion database. A group of predictive equations are established to predict occurrence time, frequency content, and total energy of the velocity pulse in terms of earthquake magnitudes, rupture distances, site conditions, and directivity parameters. The correlation relationships among the model parameters are also estimated to jointly simulate pulse and residual components based on specified earthquake scenarios. The model’s capacity to stochastically simulate pulse‐like motions is demonstrated by systematic comparison with real pulse‐like recordings and existing ground‐motion prediction equations. The proposed method can find applications in seismic analyses of key infrastructures in the near‐field region.\",\"PeriodicalId\":9444,\"journal\":{\"name\":\"Bulletin of the Seismological Society of America\",\"volume\":\"81 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Seismological Society of America\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1785/0120230190\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Seismological Society of America","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1785/0120230190","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Stochastic Simulation of Pulse‐Like Ground Motions Using Wavelet Packets
Seismic near‐fault ground motions with large amplitudes and long‐period velocity pulses can cause significant damage to structures. In this study, a new stochastic model has been developed to simulate pulse‐like ground motions for specified earthquake scenarios. Wavelet packet transform is employed to extract and model the velocity pulse. The parameters of the proposed model are fitted to Next Generation Attenuation (NGA)‐West2 pulse‐like ground‐motion database. A group of predictive equations are established to predict occurrence time, frequency content, and total energy of the velocity pulse in terms of earthquake magnitudes, rupture distances, site conditions, and directivity parameters. The correlation relationships among the model parameters are also estimated to jointly simulate pulse and residual components based on specified earthquake scenarios. The model’s capacity to stochastically simulate pulse‐like motions is demonstrated by systematic comparison with real pulse‐like recordings and existing ground‐motion prediction equations. The proposed method can find applications in seismic analyses of key infrastructures in the near‐field region.
期刊介绍:
The Bulletin of the Seismological Society of America, commonly referred to as BSSA, (ISSN 0037-1106) is the premier journal of advanced research in earthquake seismology and related disciplines. It first appeared in 1911 and became a bimonthly in 1963. Each issue is composed of scientific papers on the various aspects of seismology, including investigation of specific earthquakes, theoretical and observational studies of seismic waves, inverse methods for determining the structure of the Earth or the dynamics of the earthquake source, seismometry, earthquake hazard and risk estimation, seismotectonics, and earthquake engineering. Special issues focus on important earthquakes or rapidly changing topics in seismology. BSSA is published by the Seismological Society of America.