Adane Demeke Wasse, Kaoshan Dai, Jianze Wang, Reza Sharbati
{"title":"最新技术回顾:为复杂工业建筑结构开发的特殊同心支撑框架的抗震设计和性能评估","authors":"Adane Demeke Wasse, Kaoshan Dai, Jianze Wang, Reza Sharbati","doi":"10.1007/s13296-024-00815-w","DOIUrl":null,"url":null,"abstract":"<div><p>This state-of-the-art review comprehensively evaluates the seismic design and performance assessment of concentrically braced frame (CBF) systems, specifically focusing on special concentrically braced frames (SCBFs). SCBFs have shown remarkable effectiveness in providing seismic resistance for various building types, including residential, commercial, and industrial structures. However, it is crucial to acknowledge that natural disasters can lead to significant losses in human lives, economic impact, social disruption, and damage to industrial facilities. Therefore, this review concentrates on the seismic design and performance assessment of SCBFs developed for complex industrial buildings. Despite significant research efforts in SCBF performance assessment, there remains a notable gap in comprehensive critical reviews focused on studying SCBFs in the context of irregular and complex industrial structures. Identifying this research gap and conducting an updated review incorporating recent advancements, particularly the integration of Artificial Intelligence (AI) techniques, becomes necessary. The major goal of this study is to assess existing research efforts and identify areas that need further inquiry. Furthermore, AI methods, such as Machine Learning (ML) techniques, are highly recommended to enhance the performance of SCBFs and effectively identify damaged structures after severe earthquakes. The review identifies the need for further investigation in this specific area. By addressing these research gaps and leveraging AI advancements, the resilience of industrial buildings can be enhanced, thereby mitigating the losses resulting from seismic events.</p></div>","PeriodicalId":596,"journal":{"name":"International Journal of Steel Structures","volume":"24 2","pages":"280 - 295"},"PeriodicalIF":1.1000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"State-of-the-Art Review: Seismic Design and Performance Assessment of Special Concentrically Braced Frames Developed for Complex Industrial Building Structures\",\"authors\":\"Adane Demeke Wasse, Kaoshan Dai, Jianze Wang, Reza Sharbati\",\"doi\":\"10.1007/s13296-024-00815-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This state-of-the-art review comprehensively evaluates the seismic design and performance assessment of concentrically braced frame (CBF) systems, specifically focusing on special concentrically braced frames (SCBFs). SCBFs have shown remarkable effectiveness in providing seismic resistance for various building types, including residential, commercial, and industrial structures. However, it is crucial to acknowledge that natural disasters can lead to significant losses in human lives, economic impact, social disruption, and damage to industrial facilities. Therefore, this review concentrates on the seismic design and performance assessment of SCBFs developed for complex industrial buildings. Despite significant research efforts in SCBF performance assessment, there remains a notable gap in comprehensive critical reviews focused on studying SCBFs in the context of irregular and complex industrial structures. Identifying this research gap and conducting an updated review incorporating recent advancements, particularly the integration of Artificial Intelligence (AI) techniques, becomes necessary. The major goal of this study is to assess existing research efforts and identify areas that need further inquiry. Furthermore, AI methods, such as Machine Learning (ML) techniques, are highly recommended to enhance the performance of SCBFs and effectively identify damaged structures after severe earthquakes. The review identifies the need for further investigation in this specific area. By addressing these research gaps and leveraging AI advancements, the resilience of industrial buildings can be enhanced, thereby mitigating the losses resulting from seismic events.</p></div>\",\"PeriodicalId\":596,\"journal\":{\"name\":\"International Journal of Steel Structures\",\"volume\":\"24 2\",\"pages\":\"280 - 295\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Steel Structures\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s13296-024-00815-w\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Steel Structures","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s13296-024-00815-w","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
State-of-the-Art Review: Seismic Design and Performance Assessment of Special Concentrically Braced Frames Developed for Complex Industrial Building Structures
This state-of-the-art review comprehensively evaluates the seismic design and performance assessment of concentrically braced frame (CBF) systems, specifically focusing on special concentrically braced frames (SCBFs). SCBFs have shown remarkable effectiveness in providing seismic resistance for various building types, including residential, commercial, and industrial structures. However, it is crucial to acknowledge that natural disasters can lead to significant losses in human lives, economic impact, social disruption, and damage to industrial facilities. Therefore, this review concentrates on the seismic design and performance assessment of SCBFs developed for complex industrial buildings. Despite significant research efforts in SCBF performance assessment, there remains a notable gap in comprehensive critical reviews focused on studying SCBFs in the context of irregular and complex industrial structures. Identifying this research gap and conducting an updated review incorporating recent advancements, particularly the integration of Artificial Intelligence (AI) techniques, becomes necessary. The major goal of this study is to assess existing research efforts and identify areas that need further inquiry. Furthermore, AI methods, such as Machine Learning (ML) techniques, are highly recommended to enhance the performance of SCBFs and effectively identify damaged structures after severe earthquakes. The review identifies the need for further investigation in this specific area. By addressing these research gaps and leveraging AI advancements, the resilience of industrial buildings can be enhanced, thereby mitigating the losses resulting from seismic events.
期刊介绍:
The International Journal of Steel Structures provides an international forum for a broad classification of technical papers in steel structural research and its applications. The journal aims to reach not only researchers, but also practicing engineers. Coverage encompasses such topics as stability, fatigue, non-linear behavior, dynamics, reliability, fire, design codes, computer-aided analysis and design, optimization, expert systems, connections, fabrications, maintenance, bridges, off-shore structures, jetties, stadiums, transmission towers, marine vessels, storage tanks, pressure vessels, aerospace, and pipelines and more.