Jesus, Andre ORCID: https://orcid.org/0000-0002-5194-3469, Brommer, Peter, Zhu, Yanjie and Laory, Irwanda (2017) Comprehensive Bayesian structural identification using temperature variation. Engineering Structures, 141. pp. 75-82. ISSN 0141-0296
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Abstract
A modular Bayesian method is applied for structural identification of a reduced scale aluminium bridge model subject to thermal loading. The deformation and temperature variations of the structure were measured using strain gauges and thermocouples. Feasibility of a practical, temperature-based, Bayesian structural identification is highlighted. This methodology used multiple responses to identify existent discrepancies of a model, calibrate the stiffness of the bridge support and establish uncertainty of a predicted response. Results show that the inference of a structural parameter is successful even in the presence of substantial modelling discrepancies, converging to its true physical value. However measurements should have a high dependency on the calibration parameters. Usage of temperature variations to perform structural identification is highlighted.
Item Type: | Article |
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Identifier: | 10.1016/j.engstruct.2017.01.060 |
Keywords: | Bayesian inference; Model calibration; Structural-identification; Identifiability; Temperature variation |
Subjects: | Construction and engineering > Civil and structural engineering |
Related URLs: | |
Depositing User: | Andre Jesus |
Date Deposited: | 26 Nov 2018 14:56 |
Last Modified: | 06 Feb 2024 15:58 |
URI: | https://repository.uwl.ac.uk/id/eprint/5622 |
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