结及其对木材抗拉强度的影响:一个案例研究

IF 2.6 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Shuxiang Fan, S. Wong, J. Zidek
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引用次数: 0

摘要

当评估在工程应用中使用的锯材的强度时,结点的大小和位置是一个重要的考虑因素。结是木材最常见的视觉特征,是树枝生长的结果。大的单个结,以及不同的结簇,都有降低强度的作用。然而,管理结的行业分级规则在某种程度上是由主观判断决定的,特别是结的空间相互作用及其与木材强度的关系。本案例研究报告了一项实验的结果,该实验调查并模拟了花旗松木材样品上结的强度降低效应。实验数据是通过对木材表面进行扫描和拉伸强度测试获得的。所提出的建模方法在贝叶斯框架中包含了所有相关的结信息,从而提供了一种更精细的方法来管理制造木材的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knots and their effect on the tensile strength of lumber: A case study
Abstract When assessing the strength of sawn lumber for use in engineering applications, the sizes and locations of knots are an important consideration. Knots are the most common visual characteristics of lumber, that result from the growth of tree branches. Large individual knots, as well as clusters of distinct knots, are known to have strength-reducing effects. However, industry grading rules that govern knots are informed by subjective judgment to some extent, particularly the spatial interaction of knots and their relationship with lumber strength. This case study reports the results of an experiment that investigated and modeled the strength-reducing effects of knots on a sample of Douglas Fir lumber. Experimental data were obtained by taking scans of lumber surfaces and applying tensile strength testing. The modeling approach presented incorporates all relevant knot information in a Bayesian framework, thereby contributing a more refined way of managing the quality of manufactured lumber.
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来源期刊
Journal of Quality Technology
Journal of Quality Technology 管理科学-工程:工业
CiteScore
5.20
自引率
4.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: The objective of Journal of Quality Technology is to contribute to the technical advancement of the field of quality technology by publishing papers that emphasize the practical applicability of new techniques, instructive examples of the operation of existing techniques and results of historical researches. Expository, review, and tutorial papers are also acceptable if they are written in a style suitable for practicing engineers. Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days
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