Health assessment of tree trunk by using acoustic-laser technique and sonic tomography
Name
226_2018_1016_ReferencePDF.pdf
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1.36 MB
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Checksum (MD5)
1ba1365237c6dd8098334904aa876765
Author(s)
Qin, Renyuan
Qiu, Qiwen
Lam, Josh H M
Tang, Alvin M C
Leung, Mike W K
Lau, Denvid
Date Issued
May 10, 2018
Publisher
Springer Berlin Heidelberg
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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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.
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DOI of Published Version
https://doi.org/10.1007/s00226-018-1016-z
