An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures

Matos, José C. and Cruz, Paulo J.S. and Valente, Isabel B. and Neves, Luís C. and Moreira, Vicente N. (2016) An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures. Engineering Structures, 111 . pp. 552-564. ISSN 0141-0296

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Abstract

A novel framework for probabilistic-based structural assessment of existing structures, which combines model identification and reliability assessment procedures, considering in an objective way different sources of uncertainty, is presented in this paper. A short description of structural assessment applications, provided in literature, is initially given. Then, the developed model identification procedure, supported in a robust optimization algorithm, is presented. Special attention is given to both experimental and numerical errors, to be considered in this algorithm convergence criterion. An updated numerical model is obtained from this process. The reliability assessment procedure, which considers a probabilistic model for the structure in analysis, is then introduced, incorporating the results of the model identification procedure. The developed model is then updated, as new data is acquired, through a Bayesian inference algorithm, explicitly addressing statistical uncertainty. Finally, the developed framework is validated with a set of reinforced concrete beams, which were loaded up to failure in laboratory.

Item Type: Article
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering
Identification Number: https://doi.org/10.1016/j.engstruct.2015.12.040
Depositing User: Eprints, Support
Date Deposited: 27 Jul 2016 13:04
Last Modified: 26 Sep 2016 14:52
URI: http://eprints.nottingham.ac.uk/id/eprint/34495

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