{"title":"基于机器学习的混合优化方法，用于考虑地震土-结构相互作用的调谐质量阻尼器","authors":"Bo Fu, Xinrui Liu, Jin Chen","doi":"10.1080/13632469.2024.2334824","DOIUrl":null,"url":null,"abstract":"In this study, a machine learning-based hybrid optimization method is developed to optimize tuned mass damper considering soil-structure interaction. A total of 200,000 time history analyses of the...","PeriodicalId":15643,"journal":{"name":"Journal of Earthquake Engineering","volume":"11 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning-Based Hybrid Optimization Method for Tuned Mass Damper Considering Seismic Soil-Structure Interaction\",\"authors\":\"Bo Fu, Xinrui Liu, Jin Chen\",\"doi\":\"10.1080/13632469.2024.2334824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a machine learning-based hybrid optimization method is developed to optimize tuned mass damper considering soil-structure interaction. A total of 200,000 time history analyses of the...\",\"PeriodicalId\":15643,\"journal\":{\"name\":\"Journal of Earthquake Engineering\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Earthquake Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/13632469.2024.2334824\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Earthquake Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/13632469.2024.2334824","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Machine Learning-Based Hybrid Optimization Method for Tuned Mass Damper Considering Seismic Soil-Structure Interaction
In this study, a machine learning-based hybrid optimization method is developed to optimize tuned mass damper considering soil-structure interaction. A total of 200,000 time history analyses of the...
期刊介绍：
The Journal of Earthquake Engineering is a publication of peer-reviewed papers on research and development in analytical, experimental and field studies of earthquakes from an engineering seismology as well as a structural engineering viewpoint. The Journal combines the three most important ingredients for a successful technical publication; the highest possible technical quality, speed of publication and competitive subscription rates.
The journal draws on research and development work from engineering communities worldwide in the fields of earthquake engineering and engineering seismology. Work on experimental, analytical, design, and field studies will be considered for publication. The following is a nonexhaustive list of topics considered to be within the scope of the journal:
-Historical seismicity
-Tectonics and seismology
-Strong-motion studies
-Soil dynamics and foundations
-Site effects and geotechnical aspects
-Dynamic soil-structure interaction
-Foundation design for earthquake loading
-Seismic response of buildings
-Seismic response of bridges and other special structures
-Lifelines earthquake engineering
-Passive and active systems for earthquake protection
-Repair and strengthening
-Earthquake disaster mitigation and emergency planning
-Case histories and field studies
-Seismic sea-waves (Tsunamis)
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