Ali Sadrara, Siamak Epackachi, Ali Imanpour, Mohammad Zaman Kabir
{"title":"考虑支撑断裂的钢屈曲约束支撑框架地震响应评估的数据驱动和物理模拟混合技术","authors":"Ali Sadrara, Siamak Epackachi, Ali Imanpour, Mohammad Zaman Kabir","doi":"10.1002/eqe.4176","DOIUrl":null,"url":null,"abstract":"<p>This paper proposes a hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel Buckling-Restrained Braced Frames (BRBFs) considering brace fracture. Buckling-Restrained Brace (BRB) fracture is represented by cumulative plastic deformation capacity. A dataset, consisting of 95 past BRB laboratory tests and 120 simulated BRB responses generated using the finite element method, is first developed. An Artificial Neural Network-based (ANN) predictive model is then trained using the training dataset to estimate the cumulative plastic deformation of BRBs. The prediction capability of the ANN-based predictive model is validated using the training dataset and an existing regression-based predictive model. In the second part of the paper, an hybrid simulation technique combining the data-driven model and physics-based numerical modeling is presented to conduct the nonlinear time history analysis, followed by 1) validation against a full-scale BRBF testing and 2) demonstration of the proposed simulation technique using a six-story BRBF. The results confirm that the proposed predictive model can predict the BRB fracture with sufficient accuracy. Furthermore, the hybrid data-driven physics-based simulation technique can be used as a powerful tool for dynamic analysis of BRBFs considering BRB fracture.</p>","PeriodicalId":11390,"journal":{"name":"Earthquake Engineering & Structural Dynamics","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel buckling-restrained braced frames considering brace fracture\",\"authors\":\"Ali Sadrara, Siamak Epackachi, Ali Imanpour, Mohammad Zaman Kabir\",\"doi\":\"10.1002/eqe.4176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper proposes a hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel Buckling-Restrained Braced Frames (BRBFs) considering brace fracture. Buckling-Restrained Brace (BRB) fracture is represented by cumulative plastic deformation capacity. A dataset, consisting of 95 past BRB laboratory tests and 120 simulated BRB responses generated using the finite element method, is first developed. An Artificial Neural Network-based (ANN) predictive model is then trained using the training dataset to estimate the cumulative plastic deformation of BRBs. The prediction capability of the ANN-based predictive model is validated using the training dataset and an existing regression-based predictive model. In the second part of the paper, an hybrid simulation technique combining the data-driven model and physics-based numerical modeling is presented to conduct the nonlinear time history analysis, followed by 1) validation against a full-scale BRBF testing and 2) demonstration of the proposed simulation technique using a six-story BRBF. The results confirm that the proposed predictive model can predict the BRB fracture with sufficient accuracy. Furthermore, the hybrid data-driven physics-based simulation technique can be used as a powerful tool for dynamic analysis of BRBFs considering BRB fracture.</p>\",\"PeriodicalId\":11390,\"journal\":{\"name\":\"Earthquake Engineering & Structural Dynamics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Earthquake Engineering & Structural Dynamics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/eqe.4176\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earthquake Engineering & Structural Dynamics","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eqe.4176","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel buckling-restrained braced frames considering brace fracture
This paper proposes a hybrid data-driven and physics-based simulation technique for seismic response evaluation of steel Buckling-Restrained Braced Frames (BRBFs) considering brace fracture. Buckling-Restrained Brace (BRB) fracture is represented by cumulative plastic deformation capacity. A dataset, consisting of 95 past BRB laboratory tests and 120 simulated BRB responses generated using the finite element method, is first developed. An Artificial Neural Network-based (ANN) predictive model is then trained using the training dataset to estimate the cumulative plastic deformation of BRBs. The prediction capability of the ANN-based predictive model is validated using the training dataset and an existing regression-based predictive model. In the second part of the paper, an hybrid simulation technique combining the data-driven model and physics-based numerical modeling is presented to conduct the nonlinear time history analysis, followed by 1) validation against a full-scale BRBF testing and 2) demonstration of the proposed simulation technique using a six-story BRBF. The results confirm that the proposed predictive model can predict the BRB fracture with sufficient accuracy. Furthermore, the hybrid data-driven physics-based simulation technique can be used as a powerful tool for dynamic analysis of BRBFs considering BRB fracture.
期刊介绍:
Earthquake Engineering and Structural Dynamics provides a forum for the publication of papers on several aspects of engineering related to earthquakes. The problems in this field, and their solutions, are international in character and require knowledge of several traditional disciplines; the Journal will reflect this. Papers that may be relevant but do not emphasize earthquake engineering and related structural dynamics are not suitable for the Journal. Relevant topics include the following:
ground motions for analysis and design
geotechnical earthquake engineering
probabilistic and deterministic methods of dynamic analysis
experimental behaviour of structures
seismic protective systems
system identification
risk assessment
seismic code requirements
methods for earthquake-resistant design and retrofit of structures.