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DC Field | Value | Language |
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dc.contributor.author | Yang, H | - |
dc.contributor.author | Wang, B | - |
dc.contributor.author | Grigg, S | - |
dc.contributor.author | Zhu, L | - |
dc.contributor.author | Liu, D | - |
dc.contributor.author | Marks, R | - |
dc.date.accessioned | 2022-03-24T21:11:45Z | - |
dc.date.available | 2022-03-24T21:11:45Z | - |
dc.date.issued | 2022-03-24 | - |
dc.identifier | 2493 | - |
dc.identifier.citation | Yang, 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.uri | https://bura.brunel.ac.uk/handle/2438/24319 | - |
dc.description | Supplementary 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.abstract | Copyright: © 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.sponsorship | Lloyd'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.extent | 1 - 17 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Copyright: © 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.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | acoustic emission | en_US |
dc.subject | non-destructive evaluation | en_US |
dc.subject | structural health monitoring | en_US |
dc.subject | delta-T mapping | en_US |
dc.subject | finite element | en_US |
dc.subject | Hsu-Nielsen sources | en_US |
dc.subject | source location | en_US |
dc.subject | complex plate | en_US |
dc.title | Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3390/s22072493 | - |
dc.relation.isPartOf | Sensors | - |
pubs.publication-status | Published | - |
dc.identifier.eissn | 1424-8220 | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
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