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Comprehensive Bayesian structural identification using temperature variation

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journal contribution
posted on 30.05.2022, 08:36 authored by Andre JesusAndre Jesus, Peter Brommer, Yanjie Zhu, Irwanda Laory

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.

Funding

DTP 2016-2017 University of Warwick

Engineering and Physical Sciences Research Council

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History

School

  • Architecture, Building and Civil Engineering

Published in

Engineering Structures

Volume

141

Pages

75 - 82

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Engineering Structures and the definitive published version is available at https://doi.org/10.1016/j.engstruct.2017.01.060

Acceptance date

25/01/2017

Publication date

2017-03-19

Copyright date

2017

ISSN

0141-0296

Language

en

Depositor

Dr Andre Jesus. Deposit date: 27 May 2022