Detection of impacts in composite materials using piezoceramic sensors and neural networks

M. A. Maseras-Gutierrez; Wieslaw J. Staszewski; Mike S. Found; Keith Worden

doi:10.1117/12.316918

27 July 1998 Detection of impacts in composite materials using piezoceramic sensors and neural networks

M. A. Maseras-Gutierrez, Wieslaw J. Staszewski, Mike S. Found, Keith Worden

Proceedings Volume 3329, Smart Structures and Materials 1998: Smart Structures and Integrated Systems; (1998) https://doi.org/10.1117/12.316918
Event: 5th Annual International Symposium on Smart Structures and Materials, 1998, San Diego, CA, United States

Abstract

The problem of detecting impacts in composite panels before and after damage is addressed in this paper. The data is taken from a simple impact experiment in which piezoceramic sensors are used to collect the impulse strain response. The data are subsequently analyzed using neural networks to predict the impact location and energy on the basis of features extracted by various pre-processing algorithms. One of the main aims of the paper is to establish if the impact location and quantification results are affected by damage to the structure.

Citation Download Citation

M. A. Maseras-Gutierrez, Wieslaw J. Staszewski, Mike S. Found, and Keith Worden "Detection of impacts in composite materials using piezoceramic sensors and neural networks", Proc. SPIE 3329, Smart Structures and Materials 1998: Smart Structures and Integrated Systems, (27 July 1998); https://doi.org/10.1117/12.316918

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