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The prediction of the flexural lumber properties from standing South African-grown Pinus patula trees

机译:从南非种植的pinus patula树上预测弯曲木材的性质

摘要

Pinus patula is the most intensively plantedconifer in the tropics and subtropics. The increased proportionof corewood that results when rotation ages of pineplantations are shortened has become a wood quality factorof growing concern worldwide. The purpose of this studywas to develop empirically based models for predicting theflexural properties of the wood produced from relativelyyoung P. patula trees. Models were based on the propertiesof standing trees, and their effectiveness was evaluated atboard, tree, and compartment levels. Sample material wasobtained from 170 P. patula trees, 16–20 years old,established in 17 compartments on the Mpumalangaescarpment of South Africa. Multiple regression modelswere developed, which managed to explain 68, 60, and95 % of the variation in the dynamic modulus of elasticity(MOE) on individual boards, trees, and compartmentslevels, respectively. At compartment level, 80 % of thevariation in the 5th percentile MOR value could beexplained by the model. Sensitivity analyses showed thatsite index at base age of 10 years, acoustic time of flight,wood density, and ring width were influential variables inthe MOE models. The models indicated that treeslenderness during early growth seems to play a major rolein determining the dynamic MOE and MOR of lumber.This is in agreement with Euler’s buckling theory and thebending stress theory. The results from this study indicatedthat the MOEdyn and MOR of lumber can be accuratelypredicted on especially a compartment level. The predictivemodels developed can be used as management tools toimprove operational decisions around tree breeding, silviculturalpractices, and rotation ages.
机译:阔叶松是热带和亚热带地区种植最密集的针叶树。当松木的轮龄缩短时,芯材所占比例的增加已成为世界范围内日益受到关注的木材品质因素。这项研究的目的是建立基于经验的模型,以预测由相对年轻的木所产木材的弯曲特性。模型基于立木的特性,并在船上,树和车厢级别评估其有效性。样品材料是从南非Mpumalangascarpation的17个隔间中建立的170棵16-20岁的木(P. patula)树中获得的。建立了多元回归模型,可以分别解释单个板,树和隔层水平上的动态弹性模量(MOE)的68%,60%和95%。在隔室水平上,该模型可以解释百分之五的MOR值的80%的变化。敏感性分析表明,在MOE模型中,基础年龄为10岁的位置指数,声飞行时间,木材密度和环宽度是影响变量。这些模型表明,树木早期生长过程中的树木稀疏似乎在决定木材的动态MOE和MOR方面起着重要作用。这与Euler的屈曲理论和弯曲应力理论是一致的。这项研究的结果表明,可以准确地预测木材的MOEdyn和MOR,尤其是在隔层水平上。开发的预测模型可以用作管理工具,以改善围绕树木育种,造林实践和轮伐年龄的经营决策。

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