Abstract
This paper presents a model-based monitoring framework for the detection of fatigue-related crack damages in plate-type structures commonly seen in aluminum ship hulls. The monitoring framework involves vibration-based damage detection methodologies and finite element modeling of continuum plate structures. A Bayesian-based damage detection approach is adopted for locating probable damage areas. Identifying potential damage locations by evaluating all possible combinations of finite elements in the model is computationally infeasible. To reduce the search space and computational efforts, initial knowledge of the probable damage zones and a heuristic-based branch-and-bound scheme are systematically included in the Bayesian damage detection framework. In addition to an overview of the model-based monitoring framework, preliminary results from numerical simulations and experimental tests for a plate specimen with a welded stiffener are presented to illustrate the Bayesian damage detection approach and to demonstrate the potential application of the approach to detect fatigue cracks in metallic plates.
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Acknowledgments
The authors would like to gratefully acknowledge the support offered by the Office of Naval Research under Contract Numbers N00014-09-1-0567 and N00014-10-1-0613 awarded to University of Michigan and N00014-10-1-0384 awarded to Stanford University. The advice and suggestions offered by Dr. Paul Hess are also gratefully acknowledged.
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© 2012 The Society for Experimental Mechanics, Inc. 2012
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Kurata, M., Lynch, J.P., Law, K.H., Salvino, L.W. (2012). Bayesian Model Updating Approach for Systematic Damage Detection of Plate-Type Structures. In: Simmermacher, T., Cogan, S., Horta, L., Barthorpe, R. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2431-4_9
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DOI: https://doi.org/10.1007/978-1-4614-2431-4_9
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