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

Preview

PDF AHJ_ES_Stidtv.pdf - Accepted Version Download (3MB) | Preview

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
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:	Publisher
Depositing User:	Andre Jesus
Date Deposited:	26 Nov 2018 14:56
Last Modified:	04 Nov 2024 12:00
URI:	https://repository.uwl.ac.uk/id/eprint/5622

Downloads

Actions (login required)

View Item