Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 56-57, Issue -, Pages 123-149Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2014.11.001
Keywords
Damage assessment; Uncertainty quantification; Structural dynamics; Model updating; Bayesian inference; Fuzzy set theory
Categories
Funding
- Inverse identification of wind loads on structures - Research Foundation Flanders (MO), Belgium [G.0738.11]
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In structural engineering, model updating is often used for non-destructive damage assessment: by calibrating stiffness parameters of finite element models based on experimentally obtained (modal) data, structural damage can be identified, quantified and located. However, the model updating problem is an inverse problem prone to ill-posedness and ill-conditioning. This means the problem is extremely sensitive to small errors, which may potentially detract from the method's robustness and reliability. As many errors or uncertainties are present in model updating, both regarding the measurements as well as the employed numerical model, it is important to take these uncertainties suitably into account. This paper aims to provide an overview of the available approaches to this end, where two methods are treated in detail: a non-probabilistic fuzzy approach and a probabilistic Bayesian approach. These methods are both elaborated for the specific case of vibration-based finite element model updating for damage assessment purposes. (C) 2014 Elsevier Ltd. All rights reserved.
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