Finite element model updating of concrete structures based on imprecise probability

Biswal, S and Ramaswamy, A (2017) Finite element model updating of concrete structures based on imprecise probability. In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 94 . pp. 165-179.

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Abstract

Imprecise probability based methods are developed in this study for the parameter estimation, in finite element model updating for concrete structures, when the measurements are imprecisely defined. Bayesian analysis using Metropolis Hastings algorithm for parameter estimation is generalized to incorporate the imprecision present in the prior distribution, in the likelihood function, and in the measured responses. Three different cases are considered (i) imprecision is present in the prior distribution and in the measurements only, (ii) imprecision is present in the parameters of the finite element model and in the measurement only, and (iii) imprecision is present in the prior distribution, in the parameters of the finite element model, and in the measurements. Procedures are also developed for integrating the imprecision in the parameters of the finite element model, in the finite element software Abaqus. The proposed methods are then verified against reinforced concrete beams and prestressed concrete beams tested in our laboratory as part of this study. (C) 2017 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Publication:	MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Additional Information:	Copy right for this article belongs to the ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	20 May 2017 10:46
Last Modified:	20 May 2017 10:46
URI:	http://eprints.iisc.ac.in/id/eprint/57030

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