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A Numerical Study on Computational Time Reversal for Structural Health Monitoring

1
Department of Music Technology and Acoustics, Hellenic Mediterranean University, GR-74100 Rethymno, Greece
2
Institute of Computational Mechanics and Optimization, School of Production Engineering and Management, Technical University of Crete, GR-73100 Chania, Greece
*
Author to whom correspondence should be addressed.
Academic Editors: Phong B. Dao and Emmanuel Ramasso
Signals 2021, 2(2), 225-244; https://doi.org/10.3390/signals2020017
Received: 14 December 2020 / Revised: 25 March 2021 / Accepted: 13 April 2021 / Published: 22 April 2021
(This article belongs to the Special Issue Advanced Signal/Data Processing for Structural Health Monitoring)
Structural health monitoring problems are studied numerically with the time reversal method (TR). The dynamic output of the structure is applied, time reversed, as an external loading and its propagation within the deformable medium is followed backwards in time. Unknown loading sources or damages can be discovered by means of this method, focused by the reversed signal. The method is theoretically justified by the time-reversibility of the wave equation. Damage identification problems relevant to structural health monitoring for truss and frame structures are studied here. Beam structures are used for the demonstration of the concept, by means of numerical experiments. The influence of the signal-to-noise ratio (SNR) on the results was investigated, since this quantity influences the applicability of the method in real-life cases. The method is promising, in view of the increasing availability of distributed intelligent sensors and actuators. View Full-Text
Keywords: reciprocity; inverse problems; imaging; structural dynamics reciprocity; inverse problems; imaging; structural dynamics
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MDPI and ACS Style

Panagiotopoulos, C.G.; Stavroulakis, G.E. A Numerical Study on Computational Time Reversal for Structural Health Monitoring. Signals 2021, 2, 225-244. https://doi.org/10.3390/signals2020017

AMA Style

Panagiotopoulos CG, Stavroulakis GE. A Numerical Study on Computational Time Reversal for Structural Health Monitoring. Signals. 2021; 2(2):225-244. https://doi.org/10.3390/signals2020017

Chicago/Turabian Style

Panagiotopoulos, Christos G., and Georgios E. Stavroulakis. 2021. "A Numerical Study on Computational Time Reversal for Structural Health Monitoring" Signals 2, no. 2: 225-244. https://doi.org/10.3390/signals2020017

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