Paper
14 January 2000 Identification of woods in old buildings and their repair
Megumi Kobori, Masayoshi Ota, Kouji Yanagisawa, Kenji Sugimoto
Author Affiliations +
Proceedings Volume 3887, High-Power Lasers in Civil Engineering and Architecture; (2000) https://doi.org/10.1117/12.375191
Event: Advanced High-Power Lasers and Applications, 1999, Osaka, Japan
Abstract
In buildings that are old it becomes difficult to identify the types of woods used when planning their repair. This is because of blackening of the tree resin and discoloration due to the adhesion of the dust. Unless the wood can be identified correctly, parts cannot be replaced because differences in the expansion coefficient and water absorption can lead to dimensional instability. Furthermore, in the case of historically important buildings, it is not possible to cut out large-sized samples for laboratory identification. This paper explains a method developed to identify woods from 3 X 3 X 0.5 mm samples by measuring the distribution of the vessels of woods by a He- Ne laser. A database of identification parameters of more than 30 kinds of woods was made allowing identification and properties of most woods including imported woods used in architecture. The method developed is more accurate than the conventional identification methods used up to now. It was applied to identify the woods used in 100 to 400 year old buildings and to formulate their repair specifications. The method has also been applied to assess the suitability of imported woods for use in modern high buildings.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Megumi Kobori, Masayoshi Ota, Kouji Yanagisawa, and Kenji Sugimoto "Identification of woods in old buildings and their repair", Proc. SPIE 3887, High-Power Lasers in Civil Engineering and Architecture, (14 January 2000); https://doi.org/10.1117/12.375191
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KEYWORDS
Buildings

Laser scanners

Microscopes

Resistance

Electron microscopes

Nondestructive evaluation

Image analysis

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