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A.F. Mohammad¹, M. Faggella¹, R. Gigliotti¹ and E. Spacone²

¹Department of Structural and Geotechnical Engineering, Faculty of Engineering, Sapienza University of Rome, Italy
²Department of Engineering and Geology, Faculty of Engineering, University "G. D'Annunzio" Chieti-Pescara, Italy

doi:10.4203/ccp.106.48

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A.F. Mohammad, M. Faggella, R. Gigliotti, E. Spacone, "Probabilistic Seismic Response Sensitivity of Nonlinear Frame Bending-Shear and Infill Model Parameters for an Existing Infilled Reinforced Concrete Structure", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 48, 2014. doi:10.4203/ccp.106.48

Keywords: performance-based earthquake assessment, existing buildings, reinforced concrete, infill-frame interaction, shear failure, modelling uncertainty, probabilistic sensitivity, tornado diagrams..

Summary

The seismic performance of older infilled frame reinforced concrete structures is influenced by the interaction of different components and mechanisms and is highly sensitive to several modelling parameters. A probabilistic response sensitivity analysis is performed on a case study consisting of an infilled frame structure incorporating state-of the art models of most significant sources of nonlinear behaviour: 1) axial-moment interaction in the frame components, 2) cracking and crushing of infill panels, and 3) infill-frame interaction induced shear failure of columns. Nonlinear fiber section beam column elements are assembled with eccentric ASCE41/FEMA356 infill strut models, hysteretic shear models of captive columns based on EC8 shear strength, and are processed through pushover-based tornado analyses. Probabilistic sensitivity to material parameters at operation, damage, life safety and collapse limit states indicates that modelling parameters of infill and mass source have a key impact on the system response.

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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: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 48 Probabilistic Seismic Response Sensitivity of Nonlinear Frame Bending-Shear and Infill Model Parameters for an Existing Infilled Reinforced Concrete Structure A.F. Mohammad¹, M. Faggella¹, R. Gigliotti¹ and E. Spacone² ¹Department of Structural and Geotechnical Engineering, Faculty of Engineering, Sapienza University of Rome, Italy ²Department of Engineering and Geology, Faculty of Engineering, University "G. D'Annunzio" Chieti-Pescara, Italy doi:10.4203/ccp.106.48 purchase the full-text of this paper Full Bibliographic Reference for this paper A.F. Mohammad, M. Faggella, R. Gigliotti, E. Spacone, "Probabilistic Seismic Response Sensitivity of Nonlinear Frame Bending-Shear and Infill Model Parameters for an Existing Infilled Reinforced Concrete Structure", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 48, 2014. doi:10.4203/ccp.106.48 Keywords: performance-based earthquake assessment, existing buildings, reinforced concrete, infill-frame interaction, shear failure, modelling uncertainty, probabilistic sensitivity, tornado diagrams.. Summary The seismic performance of older infilled frame reinforced concrete structures is influenced by the interaction of different components and mechanisms and is highly sensitive to several modelling parameters. A probabilistic response sensitivity analysis is performed on a case study consisting of an infilled frame structure incorporating state-of the art models of most significant sources of nonlinear behaviour: 1) axial-moment interaction in the frame components, 2) cracking and crushing of infill panels, and 3) infill-frame interaction induced shear failure of columns. Nonlinear fiber section beam column elements are assembled with eccentric ASCE41/FEMA356 infill strut models, hysteretic shear models of captive columns based on EC8 shear strength, and are processed through pushover-based tornado analyses. Probabilistic sensitivity to material parameters at operation, damage, life safety and collapse limit states indicates that modelling parameters of infill and mass source have a key impact on the system response. 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 £65 +P&P)
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