Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24319
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dc.contributor.authorYang, H-
dc.contributor.authorWang, B-
dc.contributor.authorGrigg, S-
dc.contributor.authorZhu, L-
dc.contributor.authorLiu, D-
dc.contributor.authorMarks, R-
dc.date.accessioned2022-03-24T21:11:45Z-
dc.date.available2022-03-24T21:11:45Z-
dc.date.issued2022-03-24-
dc.identifier2493-
dc.identifier.citationYang, H., Wang, B., Grigg, S., Zhu, L., Liu, D. and Marks, R. (2022) 'Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping', Sensors, 22 (7), 2493, pp. 1-17. doi: 10.3390/s22072493.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24319-
dc.descriptionSupplementary Materials: The following are available online at www.mdpi.com/xxx/s1, Figure S1: 505 title, Table S1: title, Video S1: title.en_US
dc.description.abstractCopyright: © 2021 by the authors. One of the most significant benefits of Acoustic Emission (AE) testing over other Non-Destructive Evaluation (NDE) techniques lies in its damage location capability over a wide area. The delta-T mapping technique developed by researchers has been shown to enable AE source location to a high level of accuracy in complex structures. However, the time-consuming and laborious data training process of the delta-T mapping technique has prevented this technique from large-scale application on large complex structures. In order to solve this problem, a Finite Element (FE) method was applied to model training data for localization of experimental AE events on a complex plate. Firstly, the FE model was validated through demonstrating consistency between simulated data and the experimental data in the study of Hsu-Nielsen (H-N) sources on a simple plate. Then, the FE model with the same parameters was applied to a planar location problem on a complex plate. It has been demonstrated that FE generated delta-T mapping data can achieve a reasonable degree of source location accuracy with an average error of 3.88 mm whilst decreasing the time and effort required for manually collecting and processing the training data.en_US
dc.description.sponsorshipLloyd's 513 Register Foundation; Brunel University London; National Structural Integrity Research Centre, NSIRC studentship - Condition bases monitoring techniques for the early identification of stress corrosion cracking.en_US
dc.format.extent1 - 17-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsCopyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectacoustic emissionen_US
dc.subjectnon-destructive evaluationen_US
dc.subjectstructural health monitoringen_US
dc.subjectdelta-T mappingen_US
dc.subjectfinite elementen_US
dc.subjectHsu-Nielsen sourcesen_US
dc.subjectsource locationen_US
dc.subjectcomplex plateen_US
dc.titleAcoustic Emission Source Location Using Finite Element Generated Delta-T Mappingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.3390/s22072493-
dc.relation.isPartOfSensors-
pubs.publication-statusPublished-
dc.identifier.eissn1424-8220-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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