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Title: Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing

Abstract

This paper presents a probabilistic seismic demand analysis of a three dimensional R/C building model subjected to tri-axial earthquake excitation. Realistic probability distributions are assumed for the main structural and material properties and for the ground motion Intensity Measure (IM) Sa(T1. Natural ground motions are used in the analyses to represent the inherent randomness in the earthquake ground motion time histories. Monte Carlo simulations are performed to account for the record-to-record variability and Tornado diagrams are used to represent the uncertainty induced in the response by the basic uncertainties in the structural properties. In order to perform a probabilistic study on three-dimensional engineering demand parameters (EDPs), a large number of ensemble time history analyses were carried out using the TeraGrid high-performance computing resources available at the San Diego Supercomputer Center. Early results show that for the testbed building used in this study, uncertainty in the structural parameters contribute little to the uncertainty of the EDPs, while large variations in the EDPs are due to the variability of the ground motion intensity measure and the record-to-record variability.

Authors:
 [1]; ; ;  [2];  [3]
  1. Department of Structural Engineering University of California, San Diego 9500 Gilman Drive, MC 0085 La Jolla, CA, USA, 92093-0085 (United States)
  2. Department of Structural Engineering University of California, San Diego 9500 Gilman Drive, MC 0085 La Jolla, CA, 92093-0085 (United States)
  3. Department PRICOS. University of Chieti-Pescara, Pescara (Italy)
Publication Date:
OSTI Identifier:
21149073
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 1020; Journal Issue: 1; Conference: 2008 seismic engineering conference: Commemorating the 1908 Messina and Reggio Calabria earthquake, Reggio Calabria (Italy), 8-11 Jul 2008; Other Information: DOI: 10.1063/1.2963934; (c) 2008 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; BUILDINGS; COMPUTERIZED SIMULATION; EARTHQUAKES; ENGINEERING; GROUND MOTION; MONTE CARLO METHOD; PERFORMANCE; PROBABILISTIC ESTIMATION; SEISMOLOGY; TORNADOES

Citation Formats

Faggella, M, Department PRICOS. University of Chieti-Pescara, Pescara, Barbosa, A, Conte, J P, Restrepo, J I, and Spacone, E. Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing. United States: N. p., 2008. Web. doi:10.1063/1.2963934.
Faggella, M, Department PRICOS. University of Chieti-Pescara, Pescara, Barbosa, A, Conte, J P, Restrepo, J I, & Spacone, E. Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing. United States. https://doi.org/10.1063/1.2963934
Faggella, M, Department PRICOS. University of Chieti-Pescara, Pescara, Barbosa, A, Conte, J P, Restrepo, J I, and Spacone, E. 2008. "Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing". United States. https://doi.org/10.1063/1.2963934.
@article{osti_21149073,
title = {Seismic Assessment of R/C Building Structure through Nonlinear Probabilistic Analysis with High-performance Computing},
author = {Faggella, M and Department PRICOS. University of Chieti-Pescara, Pescara and Barbosa, A and Conte, J P and Restrepo, J I and Spacone, E},
abstractNote = {This paper presents a probabilistic seismic demand analysis of a three dimensional R/C building model subjected to tri-axial earthquake excitation. Realistic probability distributions are assumed for the main structural and material properties and for the ground motion Intensity Measure (IM) Sa(T1. Natural ground motions are used in the analyses to represent the inherent randomness in the earthquake ground motion time histories. Monte Carlo simulations are performed to account for the record-to-record variability and Tornado diagrams are used to represent the uncertainty induced in the response by the basic uncertainties in the structural properties. In order to perform a probabilistic study on three-dimensional engineering demand parameters (EDPs), a large number of ensemble time history analyses were carried out using the TeraGrid high-performance computing resources available at the San Diego Supercomputer Center. Early results show that for the testbed building used in this study, uncertainty in the structural parameters contribute little to the uncertainty of the EDPs, while large variations in the EDPs are due to the variability of the ground motion intensity measure and the record-to-record variability.},
doi = {10.1063/1.2963934},
url = {https://www.osti.gov/biblio/21149073}, journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 1020,
place = {United States},
year = {Tue Jul 08 00:00:00 EDT 2008},
month = {Tue Jul 08 00:00:00 EDT 2008}
}