Guided wave damage characterisation in beams utilising probabilistic optimisation

Ng, CT, Veidt, M and Lam, HF (2009) Guided wave damage characterisation in beams utilising probabilistic optimisation. ENGINEERING STRUCTURES, 31 12: 2842-2850. doi:10.1016/j.engstruct.2009.07.009


Author Ng, CT
Veidt, M
Lam, HF
Title Guided wave damage characterisation in beams utilising probabilistic optimisation
Journal name ENGINEERING STRUCTURES   Check publisher's open access policy
ISSN 0141-0296
Publication date 2009-12
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.engstruct.2009.07.009
Volume 31
Issue 12
Start page 2842
End page 2850
Total pages 8
Editor Phillip L Gould
Place of publication United Kingdom
Publisher Pergamon (Elsevier)
Collection year 2010
Language eng
Subject C1
091308 Solid Mechanics
970109 Expanding Knowledge in Engineering
Abstract This paper introduces a probabilistic optimisation approach to the characterisation of damage in beams using guided waves. The proposed methodology not only determines the multivariate damage characteristics, but also quantifies the associated uncertainties of the predicted values, thus providing essential information for making decisions on necessary remedial work. The damage location, length and depth and the Young's modulus of the material are treated as unknown model parameters. Characterisation is achieved by applying a two-stage optimisation process that uses simulated annealing to guarantee that the solution is close to the global optimum, followed by a standard simplex search method that maximises the probability density function of a damage scenario conditional on the measurement data. The proposed methodology is applied to characterise laminar damage and is verified through a comprehensive series of numerical case studies that use spectral finite element wave propagation modelling with the consideration of both measurement noise and material uncertainty. The methodology is accurate and robust, and successfully detects damage even when the fault is close to the end of the beam and its length and depth are small. The particularly valuable feature of the proposed methodology is its ability to quantify the uncertainties associated with the damage characterisation results. The effects of measurement noise level, damage location, length and depth on the uncertainties in damage detection results are studied and discussed in detail.
Keyword Guided wave
Beam damage characterisation
Bayesian statistical framework
Probabilistic optimisation
CANTILEVER BEAM
IDENTIFICATION
CRACK
PROPAGATION
TRANSFORM
ALGORITHM
LOCATION
SYSTEMS
MODELS
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Mechanical & Mining Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 20 Dec 2009, 00:03:47 EST