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Benchmark Study on Reliability Estimation in Higher Dimensions of Structural Systems – An Overview

Schuëller, G. I. and Pradlwater, H. J. and Beck, J. L. and Au, S. K. and Katafygiotis, L. S. and Ghanem, R. (2005) Benchmark Study on Reliability Estimation in Higher Dimensions of Structural Systems – An Overview. In: Proceedings of the 6th European Conference on Structural Dynamics. Milpress , Rotterdam, pp. 717-722. ISBN 9059660331 http://resolver.caltech.edu/CaltechAUTHORS:20120905-163324297

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Abstract

This work is concerned with a Benchmark study on reliability estimation of structural systems, which was suggested in 2004 and is currently in progress (Institute of Engineering Mechanics, University of Innsbruck, 2004). The Benchmark study attempts to assess various recently proposed alternatives for reliability estimation with respect to their accuracy and computational efficiency. The emphasis of this study is on systems which include a large number of random variables. For this purpose three problems have been chosen which cover a wide range of cases of interest in engineering practice and involve linear and non-linear systems with uncertainties in the material properties and/or the loading conditions. The present work provides an overview of the Benchmark study and of the methods compared, as well as the current status of the results obtained.


Item Type:Book Section
Additional Information:© 2005 Millpress, Rotterdam. The participants of the Benchmark study have been supported by the Austrian Science Foundation (FWF) under the contract number P16769-N12, by Grant SU4/02 of the Nanyang Technological University, by the California Institute of Technology (especially the George W. Housner Post-doctoral Fellowship (JC) in Civil Engineering) and by the Hong Kong Research Grants Council under grant 6302/03E. The first author would like to thank Dr. D.C. Charmpis for his most valuable help in assembling this paper.
Funders:
Funding AgencyGrant Number
Austrian Science FoundationP16769-N12
Nanyang Technological University, SingaporeSU4/02
Hong Kong Research Grants Council6302/03E
Record Number:CaltechAUTHORS:20120905-163324297
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20120905-163324297
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:33885
Collection:CaltechAUTHORS
Deposited By: Carmen Nemer-Sirois
Deposited On:31 Oct 2012 00:03
Last Modified:31 Oct 2012 00:03

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