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Estimating the peak structural response of high-rise structures using spectral value-based intensity measures

2017; Wiley; Volume: 26; Issue: 8 Linguagem: Inglês

10.1002/tal.1356

1541-7808

Ningfen Su, Xilin Lü, Ying Zhou, T.Y. Yang,

Fluid Dynamics and Vibration Analysis

The Structural Design of Tall and Special BuildingsVolume 26, Issue 8 e1356 RESEARCH ARTICLE Estimating the peak structural response of high-rise structures using spectral value-based intensity measures Ningfen Su, Ningfen Su State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China College of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an, ChinaSearch for more papers by this authorXilin Lu, Xilin Lu State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, ChinaSearch for more papers by this authorYing Zhou, Corresponding Author Ying Zhou yingzhou@tongji.edu.cn State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China Correspondence Ying Zhou, State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China. Email: yingzhou@tongji.edu.cnSearch for more papers by this authorT.Y. Yang, T.Y. Yang State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China Department of Civil Engineering, University of British Columbia, Vancouver, CanadaSearch for more papers by this author Ningfen Su, Ningfen Su State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China College of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an, ChinaSearch for more papers by this authorXilin Lu, Xilin Lu State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, ChinaSearch for more papers by this authorYing Zhou, Corresponding Author Ying Zhou yingzhou@tongji.edu.cn State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China Correspondence Ying Zhou, State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China. Email: yingzhou@tongji.edu.cnSearch for more papers by this authorT.Y. Yang, T.Y. Yang State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China Department of Civil Engineering, University of British Columbia, Vancouver, CanadaSearch for more papers by this author First published: 03 March 2017 https://doi.org/10.1002/tal.1356Citations: 16Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary With increasing trend towards performance-based design in earthquake engineering, running nonlinear time history analysis is becoming the routing process to quantify the relationship between ground motions intensity measure (IM) and the structural responses. Because a high-rise structure contains many higher modes, a newly proposed spectral value-based IM is presented in this paper to quantify the structural response of high-rise structures. The newly proposed IM uses the modal participation masses to combine higher modes. An actual high-rise structure is taken as an example to demonstrate the efficiency of using the newly proposed IM to quantify the peak structural response of high-rise structures. Five alternative IMs were compared in this study: (a) PGA - peak ground acceleration; (b) S1 - spectra acceleration with only 1 mode; (c) S* - modified S1 with the consideration of period elongation after structure yielded; (d) S12- spectra acceleration with 2 modes; and (e) S123 - spectra acceleration with 3 modes. Linear regression is fitted between the peak structural response and the IM considered. The IM with the highest correlation coefficient to the engineering demand parameter is considered the most efficient IM. The results show that S1 has better correlation to the structural response compared with PGA. S123 has better correlation than S* and S12. It is found that the IM with higher modes can provide better correlation than IM with lower number of structural information. For engineering applications, IM with up to 3 modes (S123) is sufficient to produce an accurate prediction to quantify the structural response of high-rise structures. Citing Literature Volume26, Issue810 June 2017e1356 RelatedInformation