Print Email Facebook Twitter Broadband signal reconstruction for SHM Title Broadband signal reconstruction for SHM: An experimental and numerical time reversal methodology Author Falcetelli, F. (University of Bologna; Clarkson University) Venturini, Nicolas (University of Bologna; Clarkson University) Barroso Romero, M. (TU Delft Structural Integrity & Composites) Martinez, Marcias J. (Clarkson University) Pant, Shashank (National Research Council Canada) Troiani, Enrico (University of Bologna) Date 2021 Abstract Structural Health Monitoring (SHM) aims to shift aircraft maintenance from a time-based to a condition-based approach. Within all the SHM techniques, Acoustic Emission (AE) allows for the monitoring of large areas by analyzing Lamb waves propagating in plate like structures. In this study, the authors proposed a Time Reversal (TR) methodology with the aim of reconstructing an original and unaltered signal from an AE event. Although the TR method has been applied in Narrow-Band (NwB) signal reconstruction, it fails when a Broad-Band (BdB) signal, such as a real AE event, is present. Therefore, a novel methodology based on the use of a Frequencies Compensation Transfer Function (FCTF), which is capable of reconstructing both NwB and real BdB signals, is presented. The study was carried out experimentally using several sensor layouts and materials with two different AE sources: (i) a Numerically Built Broadband (NBB) signal, (ii) a Pencil Lead Break (PLB). The results were validated numerically using Abaqus/CAETM with the implementation of absorbing boundaries to minimize edge reflections. Subject acoustic emissionLamb wavespiezoelectric transducerStructural health monitoringtime reversal To reference this document use: http://resolver.tudelft.nl/uuid:24cced17-36ff-4143-82e5-5b27fd9d15ea DOI https://doi.org/10.1177/1045389X20972474 ISSN 1045-389X Source Journal of Intelligent Material Systems and Structures, 32 (10), 1043-1058 Part of collection Institutional Repository Document type journal article Rights © 2021 F. Falcetelli, Nicolas Venturini, M. Barroso Romero, Marcias J. Martinez, Shashank Pant, Enrico Troiani Files PDF 1045389x20972474.pdf 4 MB Close viewer /islandora/object/uuid:24cced17-36ff-4143-82e5-5b27fd9d15ea/datastream/OBJ/view