Comprehensive Bayesian structural identification using temperature variation

Jesus, Andre ORCID:, 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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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
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
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Depositing User: Andre Jesus
Date Deposited: 26 Nov 2018 14:56
Last Modified: 06 Feb 2024 15:58


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