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Mesnil O, Ruzzene M. Sparse wavefield reconstruction and source detection using Compressed Sensing. Ultrasonics. 2016;67:94-104doi: 10.1016/j.ultras.2015.12.014.
Mesnil, O., & Ruzzene, M. (2016). Sparse wavefield reconstruction and source detection using Compressed Sensing. Ultrasonics, 6794-104. https://doi.org/10.1016/j.ultras.2015.12.014
Mesnil, Olivier, and Ruzzene, Massimo. "Sparse wavefield reconstruction and source detection using Compressed Sensing." Ultrasonics vol. 67 (2016): 94-104. doi: https://doi.org/10.1016/j.ultras.2015.12.014
Mesnil O, Ruzzene M. Sparse wavefield reconstruction and source detection using Compressed Sensing. Ultrasonics. 2016 Apr;67:94-104. doi: 10.1016/j.ultras.2015.12.014. Epub 2016 Jan 04. PMID: 26802596.
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Ultrasonics. 2016 Apr;67:94-104. doi: 10.1016/j.ultras.2015.12.014. Epub 2016 Jan 04.

Sparse wavefield reconstruction and source detection using Compressed Sensing.

Ultrasonics

Olivier Mesnil, Massimo Ruzzene

Affiliations

  1. D. Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States. Electronic address: [email protected].
  2. D. Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States; G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.

PMID: 26802596 DOI: 10.1016/j.ultras.2015.12.014

Abstract

The paper presents a Compressed Sensing technique for the reconstruction of guided wavefields. Structural inspections based on the analysis of guided wavefields have proven to be effective at detecting and characterizing damage. However, wavefield detection is often a time consuming process, which limits practicality. The proposed reconstruction technique estimates the location of sources and structural features interacting with the waves from a set of sparse measurements. Such features include damage, described as a scattering source. The wavefield is reconstructed by employing information on the dispersion properties of the medium under consideration. The procedure is illustrated through a one-dimensional analytical example, and subsequently applied to the reconstruction of an experimental wavefield in a composite panel with an artificial delamination. The results confirm the ability of the technique to identify the defect, while reconstructing the wavefield with good accuracy using a significantly reduced number of measurements.

Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords: Compressed Sensing; Lamb waves; SHM-NDE; Sparse wavefield measurements; Wavefield reconstruction

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