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Comprehensive Bayesian structural identification using temperature variation
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Jesus, André H., Brommer, Peter, Zhu, Yanjie and Laory, Irwanda (2017) Comprehensive Bayesian structural identification using temperature variation. Engineering Structures, 141 . pp. 75-82. doi:10.1016/j.engstruct.2017.01.060
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Official URL: https://doi.org/10.1016/j.engstruct.2017.01.060
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: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||
| Divisions: | Faculty of Science > Engineering | ||||||||
| Library of Congress Subject Headings (LCSH): | Structural analysis (Engineering), Structural analysis (Engineering) --Mathematical models., Bridges -- Design and construction. | ||||||||
| Journal or Publication Title: | Engineering Structures | ||||||||
| Publisher: | Elsevier Science Ltd. | ||||||||
| ISSN: | 0141-0296 | ||||||||
| Official Date: | 15 June 2017 | ||||||||
| Dates: |
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| Date of first compliant deposit: | 26 January 2017 | ||||||||
| Volume: | 141 | ||||||||
| Page Range: | pp. 75-82 | ||||||||
| DOI: | 10.1016/j.engstruct.2017.01.060 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||||
| Grant number: | 1568046 |
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