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Comprehensive Bayesian structural identification using temperature variation
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DOI：10.1016/j.engstruct.2017.01.060.png)
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摘要
En 中文
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. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
Bayesian inference
Model calibration
Structural-identification
Identifiability
Temperature variation
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IF:
6.4
论文数:
2.1W
被引数:
8.7W
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