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 $MUL 3 $MUL 0.5 mm samples by measuring the distribution of the vessels of woods by a He- Ne laser. A database of identification parameters of more than 30 kinds of woods was made allowing identification and properties of most woods including imported woods used in architecture. The method developed is more accurate than the conventional identification methods used up to now. It was applied to identify the woods used in 100 to 400 year old buildings and to formulate their repair specifications. The method has also been applied to assess the suitability of imported woods for use in modern high buildings. !1
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机译：摘要：在古老的建筑物中，计划维修时很难确定所用木材的类型。这是由于树状树脂发黑和由于灰尘的粘附而导致的变色。除非可以正确识别木材，否则部件将无法更换，因为膨胀系数和吸水率的差异会导致尺寸不稳定。此外，在具有历史意义的建筑物的情况下，不可能切出用于实验室识别的大样本。本文介绍了一种通过用He-Ne激光测量木材的血管分布来从3个$ MUL 3 $ MUL 0.5毫米样品中鉴定木材的方法。建立了30多种木材的识别参数数据库，可以识别大多数木材，包括建筑用进口木材。开发的方法比迄今为止使用的常规识别方法更准确。它用于识别100到400年历史的建筑物中使用的木材并制定其维修规范。该方法也已用于评估进口木材在现代高层建筑中的适用性。 ！1
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