Damage detection tomography based on guided waves in composite structures using a distributed sensor network

Vittorio Memmolo; Leandro Maio; Natalino Daniele Boffa; Ernesto Monaco; Fabrizio Ricci

doi:10.1117/1.OE.55.1.011007

20 October 2015 Damage detection tomography based on guided waves in composite structures using a distributed sensor network

Vittorio Memmolo, Leandro Maio, Natalino Daniele Boffa, Ernesto Monaco, Fabrizio Ricci

Author Affiliations +

Optical Engineering, Vol. 55, Issue 1, 011007 (October 2015). https://doi.org/10.1117/1.OE.55.1.011007

Abstract

Structural health monitoring (SHM) based on guided waves allows assessing the health of a structure due to the sensitivity to the occurrence of delamination. However, wave propagation presents several complexities for effective damage identification in composite structures. An efficient implementation of a guided wave-based SHM system requires an accurate analysis of collected data to obtain a useful detection. This paper is concerned with the identification of small emerging delaminations in composite structural components using a sparse array of surface ultrasonic transducers. An ultrasonic-guided wave tomography technique focused on impact damage detection in composite plate-like structures is presented. A statistical damage index approach is adopted to interpret the recorded signals, and a subsequent graphic interpolation is implemented to reconstruct the damage appearance. Experimental tests carried out on a typical composite structure demonstrated the effectiveness of the developed technique with the aim to investigate the presence and location of damage using simple imaging reports and a limited number of measurements. A traditional ultrasonic inspection (C-scan) is used to assess the methodology.

Citation Download Citation

Vittorio Memmolo, Leandro Maio, Natalino Daniele Boffa, Ernesto Monaco, and Fabrizio Ricci "Damage detection tomography based on guided waves in composite structures using a distributed sensor network," Optical Engineering 55(1), 011007 (20 October 2015). https://doi.org/10.1117/1.OE.55.1.011007

Published: 20 October 2015

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