Non-model-based approach to damage localization

Michael Camerino; Kara Peters

doi:10.1117/12.540094

20 July 2004 Non-model-based approach to damage localization

Michael Camerino, Kara Peters

Proceedings Volume 5393, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites III; (2004) https://doi.org/10.1117/12.540094
Event: NDE for Health Monitoring and Diagnostics, 2004, San Diego, CA, United States

Abstract

A limiting factor for many current structural health monitoring methods is that in order to locate damage, modeling of the structural response is required. The structural model itself can introduce significant errors, in addition to sensor noise, both through limitations in the assumptions applied and manufacturing variations. This work presents a method of localizing damage that eliminates the requirement for an independent structural model. The method is based on the flexibility parameters of the structure in pre- and post- damage states. An technique has been developed that allows the required information to be constructed from only sensor and actuator data. From the sensor data, a set of damage location vectors are determined. These vectors are shown to localize damage via two methods: The first analysis reapplies each set damage location vector as applied forces to the structure. The second, more applicable to real-time health monitoring, locates lowest values of the damage location vectors themselves. Simulations on a plate are performed for two sensor meshes (eight and thirty-two locations). The results demonstrate excellent damage localization, and some indication of damage severity. Finally an experimental demonstration of the method utilizing eight sensors surface mounted to an aluminum plate is presented.

Citation Download Citation

Michael Camerino and Kara Peters "Non-model-based approach to damage localization", Proc. SPIE 5393, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites III, (20 July 2004); https://doi.org/10.1117/12.540094

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