Health assessment of tree trunk by using acoustic-laser technique and sonic tomography
Abstract An innovative tree defect detection scheme, which combines acoustic-laser technique and sonic tomography, is studied. A new sensor distribution can be adopted based on the near-surface response detected by acoustic-laser technique, and a more reliable image of the tree trunk...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2021
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| Online Access: | https://hdl.handle.net/1721.1/131445 |
| _version_ | 1811088376849235968 |
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| author | Qin, Renyuan Qiu, Qiwen Lam, Josh H M Tang, Alvin M C Leung, Mike W K Lau, Denvid |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Qin, Renyuan Qiu, Qiwen Lam, Josh H M Tang, Alvin M C Leung, Mike W K Lau, Denvid |
| author_sort | Qin, Renyuan |
| collection | MIT |
| description | Abstract
An innovative tree defect detection scheme, which combines acoustic-laser technique and sonic tomography, is studied. A new sensor distribution can be adopted based on the near-surface response detected by acoustic-laser technique, and a more reliable image of the tree trunk can be observed by sonic tomography. By using such hybrid detection scheme, the near-surface defects (bark detachment, cracks, decay) can be revealed at the early stages of defect development. The accuracy of defect detection during advanced tree risk assessment is therefore highly improved. As a newly developed detection technique for detecting the near-surface defect in tree trunk, the measurement results of acoustic-laser technique in tree trunk are comprehensively discussed, especially toward the detectable depth beneath the tree surface. The experimental results demonstrated that the acoustic-laser technique can identify the presence of near-surface defects in a tree trunk that are normally overlooked by the conventional sonic tomography measurements with random distribution of sensors. |
| first_indexed | 2024-09-23T14:01:15Z |
| format | Article |
| id | mit-1721.1/131445 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:01:15Z |
| publishDate | 2021 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1314452023-02-23T16:57:57Z Health assessment of tree trunk by using acoustic-laser technique and sonic tomography Qin, Renyuan Qiu, Qiwen Lam, Josh H M Tang, Alvin M C Leung, Mike W K Lau, Denvid Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Abstract An innovative tree defect detection scheme, which combines acoustic-laser technique and sonic tomography, is studied. A new sensor distribution can be adopted based on the near-surface response detected by acoustic-laser technique, and a more reliable image of the tree trunk can be observed by sonic tomography. By using such hybrid detection scheme, the near-surface defects (bark detachment, cracks, decay) can be revealed at the early stages of defect development. The accuracy of defect detection during advanced tree risk assessment is therefore highly improved. As a newly developed detection technique for detecting the near-surface defect in tree trunk, the measurement results of acoustic-laser technique in tree trunk are comprehensively discussed, especially toward the detectable depth beneath the tree surface. The experimental results demonstrated that the acoustic-laser technique can identify the presence of near-surface defects in a tree trunk that are normally overlooked by the conventional sonic tomography measurements with random distribution of sensors. 2021-09-20T17:17:06Z 2021-09-20T17:17:06Z 2018-05-10 2020-09-24T20:53:44Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131445 en https://doi.org/10.1007/s00226-018-1016-z Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Springer-Verlag GmbH Germany, part of Springer Nature application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Qin, Renyuan Qiu, Qiwen Lam, Josh H M Tang, Alvin M C Leung, Mike W K Lau, Denvid Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title | Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title_full | Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title_fullStr | Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title_full_unstemmed | Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title_short | Health assessment of tree trunk by using acoustic-laser technique and sonic tomography |
| title_sort | health assessment of tree trunk by using acoustic laser technique and sonic tomography |
| url | https://hdl.handle.net/1721.1/131445 |
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