Probabilistic Nonlinear Response Analysis of Steel-Concrete Composite Beams
Publication: Journal of Structural Engineering
Volume 140, Issue 1
Abstract
This paper employs a methodology for probabilistic response analysis based on the first-order second moment (FOSM) method in conjunction with response sensitivity computation through the direct differentiation method (DDM), to study the variability of the structural response of steel-concrete composite (SCC) beams. This methodology is applied to compute the first-order and second-order statistical moments of the response of two actual structural systems for which experimental data are available. The results of the DDM-based FOSM method are compared with the experimental measurements and with the results of the computationally more expensive Monte Carlo-Simulation (MCS) method. Different modeling hypotheses for the material parameter uncertainty are considered. The DDM-based FOSM method agrees very well with the MCS results for low-to-moderate levels of response nonlinearity under low-to-moderate material parameter uncertainty and up to high level of response nonlinearity under low material parameter uncertainty. The DDM-based FOSM method is shown to correctly describe the effects of random spatial variability of material parameters.
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Acknowledgments
Partial supports of this research by (1) the National Science Foundation under Grant No. CMS-0010112; (2) the Pacific Earthquake Engineering Research (PEER) Center’s Transportation Systems Research Program under Award No. 00006493; and (3) the Louisiana Board of Regents through the Pilot Funding for New Research (Pfund) Program of the National Science Foundation Experimental Program to Stimulate Competitive Research (EPSCoR) under Award No. NSF(2008)-PFUND-86, are gratefully acknowledged. The writers wish to thank Professor Peter Ansourian of The University of Sydney, for providing unpublished data from his experimental tests on simply supported beams. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the writers and do not necessarily reflect the views of the sponsoring agencies.
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Published In
Journal of Structural Engineering
Volume 140 • Issue 1 • January 2014
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© 2013 American Society of Civil Engineers.
History
Received: Jan 18, 2012
Accepted: Jan 14, 2013
Published online: Jan 16, 2013
Published in print: Jan 1, 2014
Discussion open until: Feb 23, 2014
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