Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index
dc.contributor.author | Cantero Chinchilla, Sergio | |
dc.contributor.author | Aranguren Aramendia, Gerardo | |
dc.contributor.author | Royo, José Manuel | |
dc.contributor.author | Chiachío, Manuel | |
dc.contributor.author | Echaniz Marañón, Josu | |
dc.contributor.author | Calvo Echenique, Andrea | |
dc.date.accessioned | 2021-02-10T11:56:28Z | |
dc.date.available | 2021-02-10T11:56:28Z | |
dc.date.issued | 2021-02-02 | |
dc.identifier.citation | Sensors 21(3) : (2021) // Article ID 993 | es_ES |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10810/50132 | |
dc.description.abstract | This paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight mismatch of sequential ultrasonic guided-wave measurements using fuzzy logic fundamentals. The ultrasonic signals are generated using the transmission beamforming technique with a phased-array of piezoelectric transducers. The acquisition is carried out by two phased-arrays to compare the influence of pulse-echo and pitch-catch modes in the damage assessment. The proposed monitoring approach is illustrated in a fatigue test of an aluminum sheet with an initial notch. As an additional novelty, the proposed pattern matching methodology uses the data stemming from the transmission beamforming technique for structural health monitoring. The results demonstrate the efficiency and robustness of the proposed framework in providing a qualitative and quantitative assessment for fatigue crack damage. | es_ES |
dc.description.sponsorship | This paper is part of the SAFE-FLY project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 721455. In addition, this work has been supported by a continuous collaboration between Aernnova Engineering Division S.A. and the University of the Basque Country. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/721455 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | structural health monitoring | es_ES |
dc.subject | ultrasonic guided-waves | es_ES |
dc.subject | fatigue damage detection | es_ES |
dc.subject | transmission beamforming | es_ES |
dc.subject | degree of health index | es_ES |
dc.title | Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2021-02-05T14:13:40Z | |
dc.rights.holder | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/21/3/993/htm | es_ES |
dc.identifier.doi | 10.3390/s21030993 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ingeniería mecánica | |
dc.departamentoes | Tecnología electrónica | |
dc.departamentoeu | Ingeniaritza mekanikoa | |
dc.departamentoeu | Teknologia elektronikoa |
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Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).