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Keywords: performance-based seismic design, uncertainty quantification, evidence theory, differential evolution algorithm, Park-Ang damage model.

Summary

Performance evaluation and seismic design of structures using the Park-Ang damage model is a challenge to engineers because of the large uncertainties in the model. The large uncertainties associated with the Park-Ang damage model arise from the fact that the model parameters which derived from limited experimental data and approximate modeling (lack of knowledge). Uncertainties always affect the modeling and evaluation of real physical phenomena and accordingly impacts on the ensuing technical, economic and social decisions. In this paper, a methodology based on the evidence theory is presented for uncertainty quantification of the Park-Ang damage model. The proposed methodology is applied to performance-based seismic design (PBSD) while considering various sources of uncertainty emanating from the database of the cyclic test results of reinforced concrete members provided by the Pacific Earthquake Engineering Research Center. In order to alleviate the burden of the high computational cost in the aggregation of the evidence and the propagation of uncertainties, the differential evolution (DE) technique is used for efficient calculation of the uncertainty propagation associated in the whole design process. Finally, a PBSD analysis for a seven-story concrete frame is presented that is used to investigate the effectiveness of proposed methods.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 108 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping Paper 170 Uncertainty Quantification of the Park-Ang Damage Model applied to Performance Based Design H.S. Tang^1,2 and D.W. Li² ¹State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China ²Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai, China doi:10.4203/ccp.108.170 purchase the full-text of this paper Full Bibliographic Reference for this paper H.S. Tang, D.W. Li, "Uncertainty Quantification of the Park-Ang Damage Model applied to Performance Based Design", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 170, 2015. doi:10.4203/ccp.108.170 Keywords: performance-based seismic design, uncertainty quantification, evidence theory, differential evolution algorithm, Park-Ang damage model. Summary Performance evaluation and seismic design of structures using the Park-Ang damage model is a challenge to engineers because of the large uncertainties in the model. The large uncertainties associated with the Park-Ang damage model arise from the fact that the model parameters which derived from limited experimental data and approximate modeling (lack of knowledge). Uncertainties always affect the modeling and evaluation of real physical phenomena and accordingly impacts on the ensuing technical, economic and social decisions. In this paper, a methodology based on the evidence theory is presented for uncertainty quantification of the Park-Ang damage model. The proposed methodology is applied to performance-based seismic design (PBSD) while considering various sources of uncertainty emanating from the database of the cyclic test results of reinforced concrete members provided by the Pacific Earthquake Engineering Research Center. In order to alleviate the burden of the high computational cost in the aggregation of the evidence and the propagation of uncertainties, the differential evolution (DE) technique is used for efficient calculation of the uncertainty propagation associated in the whole design process. Finally, a PBSD analysis for a seven-story concrete frame is presented that is used to investigate the effectiveness of proposed methods. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £75 +P&P)
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