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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 90
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING FOR ENGINEERING
Edited by:
Paper 28

Use of High Performance Computing for Probabilistic Seismic Response Sensitivity Analyses of a Building Structure

M. Faggella1,2, A.R. Barbosa1, J.P. Conte1, E. Spacone2 and J.I. Restrepo1

1Department of Structural Engineering, University of California, San Diego, United States of America
2Department of Design Rehabilitation and Control of Structures, PRICOS, University "G. D'Annunzio", Pescara, Italy

Full Bibliographic Reference for this paper
M. Faggella, A.R. Barbosa, J.P. Conte, E. Spacone, J.I. Restrepo, "Use of High Performance Computing for Probabilistic Seismic Response Sensitivity Analyses of a Building Structure", in , (Editors), "Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 28, 2009. doi:10.4203/ccp.90.28
Keywords: earthquake simulation, nonlinear material behaviour, finite elements, probabilstic analysis, sensitivity, parallel computing, TeraGrid.

Summary
Performance-based earthquake engineering (PBEE) has emerged as a new analysis and design philosophy that is leading the way to a new generation of seismic building codes. This approach is based on accurate earthquake response simulations and probabilistic treatment of input parameters and makes use of state-of-the-art computer programs that are capable of reproducing the nonlinear seismic behavior of structures through advanced time-history analyses. The computation required to perform large scale probabilistic simulations is not suitable to be handled sequentially. Parallelization is therefore a crucial step in earthquake response analysis. This paper describes the study of the nonlinear probabilistic seismic response and of the seismic response sensitivity of a reinforced concrete building structure subjected to tri-axial earthquake excitation. The analyses are performed making use of the software framework for earthquake engineering simulations OpenSees on Teragrid supercomputer machines. Probability distributions are assumed for the main structural and material properties and for the ground motion intensity measure (IM) Sa(T1) the PBEE methodology is adopted, as developed by the Pacific Earthquake Engineering Research Center (PEER). An ensemble of natural ground motion recordings selected within the PEER testbeds program for the Berkeley site is used in the analyses to represent the inherent randomness in ground motion time histories (i.e. record-to-record variability). Different sensitivity analysis methods are used to investigate the propagation of input uncertainties to engineering demand parameters (EDP) through nonlinear response history analyses based on an advanced computational structural model. Monte Carlo simulations are performed to account for the record-to-record variability, while the first-order-second-moment (FOSM) method and Tornado diagrams are used to represent the uncertainty induced in the response by the ground motion intensity measure, damping, mass, concrete and steel strength and stiffness. The sensitivity analyses of EDPs representation of the seismic response of a fully three-dimensional nonlinear model yield important information on the significance and relative importance of different uncertainty sources for a structure representative of construction practices typical of several seismic-prone regions of the world. Furthermore, statistical correlation studies between EDPs of a three-dimensional building structure and various ground motion intensity measures will shed light on both the current IM and ground motion scaling criteria adopted by the PEER PBEE methodology and open the way to improved scaling criteria and improved IMs for practical seismic assessment of existing reinforced concrete buildings.

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