Active fiber composite continuous sensors

Saurabh Datta; Goutham R. Kirikera; Mark J. Schulz; Mannur J. Sundaresan

doi:10.1117/12.514679

14 October 2003 Active fiber composite continuous sensors

Saurabh Datta, Goutham R. Kirikera, Mark J. Schulz, Mannur J. Sundaresan

Proceedings Volume 5062, Smart Materials, Structures, and Systems; (2003) https://doi.org/10.1117/12.514679
Event: Smart Materials, Structures, and Systems, 2002, Bangalore, India

Abstract

This paper examines the use of continuous sensors to detect damage in composite materials. Continuous sensors contain multiple interconnected sensor nodes that can be integrated into an artificial neural system as an array of sensor nerves. The advantage of this passive health monitoring approach is that the sensor system is highly distributed and uses parallel processing allowing large structures to be monitored for damage using a small number of channels of data acquisition. In the paper, the continuous sensor system is modeled and simulated by solving the elastic response of a plate and the coupled piezoelectric constitutive equations. The model and simulation allow the sensor system to be optimized for a particular material and plate size. The simulation predicts that acoustic waves representative of damage growth can be detected anywhere in the plate using a simple artificial neural system. To improve the sensitivity of the continuous sensor, unidirectional active fiber composite sensors were built from piezoceramic ribbon preforms. Manufacturing of the active fiber composite sensors is also discussed in the paper. The continuous sensors were evaluated in a realistic test to show their ability detect acoustic emissions caused by damage to a composite material. The sensors were mounted on narrow glass fiber plates and tested to failure in a mechanical test machine. Results from the experiments are presented.

Citation Download Citation

Saurabh Datta, Goutham R. Kirikera, Mark J. Schulz, and Mannur J. Sundaresan "Active fiber composite continuous sensors", Proc. SPIE 5062, Smart Materials, Structures, and Systems, (14 October 2003); https://doi.org/10.1117/12.514679

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