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Proceedings Paper

Application of compressed sensing in full-field structural health monitoring
Author(s): Mulugeta Haile; Anindya Ghoshal
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Paper Abstract

Embedded sensors are used in layers of composite structures to provide local damage detection. The presence of these sensors causes material and geometric discontinuities which in turn causes unwanted peaks of stress and strain with consequences on stiffness reduction. Often several of these sensors are embedded in structures aggregating the adverse effects of discontinuities to degrade the structural integrity. Structural damage is a sparse phenomenon and the mechanical metrics are smooth functions with few spikes near the location of damage. This sparsity and spikiness can be exploited to reduce the number of embedded sensors in composite structures. The goal of this paper is to adapt the compressed sensing theory and detect damage using far fewer sensors than conventionally possible. To demonstrate the efficacy of our approach, we performed a numerical experiment on a rectangular plate with a center hole, and have shown that the 2D strain-field can be recovered from few samples of discrete strain measurements acquired by embedded sensors.

Paper Details

Date Published: 30 March 2012
PDF: 6 pages
Proc. SPIE 8346, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012, 834618 (30 March 2012); doi: 10.1117/12.915429
Show Author Affiliations
Mulugeta Haile, U.S. Army Research Lab. (United States)
Anindya Ghoshal, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8346:
Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012
Theodore E. Matikas, Editor(s)

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