Comprehensive Bayesian structural identification using temperature variation
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.
DTP 2016-2017 University of Warwick
Engineering and Physical Sciences Research CouncilFind out more...
- Architecture, Building and Civil Engineering
Published inEngineering Structures
Pages75 - 82
- AM (Accepted Manuscript)
Rights holder© Elsevier
Publisher statementThis 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