Paper
1 April 2019 Grain effect on the accuracy of defect detection in wood structure by using acoustic-laser technique
Author Affiliations +
Abstract
Wood structures have been recently considered as one of the important building styles due to their green use of natural resource, low energy consumption, and less waste emission. But wood structures are vulnerable to near surface material deterioration over long duration, as the result of mechanical impact, chemical corrosion and fungi attack. In order to maintain such natural structure in designed mechanical performance, it is necessary to detect the near surface wood defect with non-destructive evaluation (NDE) methods on a regular basis. Among the existing NDE methods, acoustic-laser technique has been demonstrated for detecting near surface detect in a variety of structures. When using this technique in wood structure detection, the measurement accuracy may be affected by the wood grain. Taking into account this issue, the present research work aims to understand the wood grain on the dynamic behavior of near surface layer in wood structure under acoustic excitation and assess the grain effect on the defect detection via acoustic-laser technique. In this study, artificial defects are fabricated in two wood beams, with the transverse and parallel directions to the grain respectively. Vibration characteristics measured by acoustic-laser technique for the two grain cases are compared and discussed. This paper also provides the suggestions of practical application of the technique in detecting wood structure in considering the grain effect.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiwen Qiu and Denvid Lau "Grain effect on the accuracy of defect detection in wood structure by using acoustic-laser technique", Proc. SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, 109710X (1 April 2019); https://doi.org/10.1117/12.2514285
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Defect detection

Nondestructive evaluation

Inspection

Acoustics

Civil engineering

Back to Top