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Damage Localization Using a Statistical Test on Residuals from the SDDLV Approach

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Topics in Model Validation and Uncertainty Quantification, Volume 5
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Abstract

Mechanical systems under vibration excitation are prime candidate for being modeled by linear time invariant systems. Damage localization in such systems, when the excitation is not measurable, can be carried out using the Stochastic Dynamic Damage Locating Vector (SDDLV) approach, a method that interrogates changes in a matrix that has the same kernel as the change in the transfer matrix at the sensor locations. Damage location is related to some residual derived from the kernel. Deciding that this residual is zero is up to now done using empirically defined thresholds. In this paper, we describe how the uncertainty of the state space system can be used to derive uncertainty on the damage localization residuals to decide about the damage location. The results are illustrated in finite element models of a truss and of a plate.

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Acknowledgements

This work was partially supported by the European project FP7-PEOPLE-2009-IAPP 251515 ISMS.

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Correspondence to L. Marin .

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© 2013 The Society for Experimental Mechanics, Inc.

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Marin, L., Döhler, M., Bernal, D., Mevel, L. (2013). Damage Localization Using a Statistical Test on Residuals from the SDDLV Approach. In: Simmermacher, T., Cogan, S., Moaveni, B., Papadimitriou, C. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6564-5_15

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  • DOI: https://doi.org/10.1007/978-1-4614-6564-5_15

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  • Print ISBN: 978-1-4614-6563-8

  • Online ISBN: 978-1-4614-6564-5

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