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The modulus of elasticity of hybrid larch predicted by density, rings per centimeter, and age

机译:通过密度,每厘米环数和年龄预测的混合落叶松的弹性模量

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摘要

A total of 492 specimens from eighteen trees representing fast-growth larch (Larix eurolepis [L. marschlinsii]) were studied. The mean values of the modulus of elasticity (MOE), density, age, and rings per centimeter were determined for each. Mathematical models were developed to predict the MOE from the other parameters. Linear models were first presented showing the dependence of MOE on each of the three parameters, density, age, and rings per centimeter. A multivariate linear regression model was then developed for MOE as a function of all three parameters. The correlation coefficient of this model was 0.66, an improvement over each of the models for which each parameter was taken individually. A prediction of MOE by visual means alone, i.e., using only age and rings per centimeter in a linear model, is also presented. The correlation coefficient of this model was 0.58, which is superior to any of the parameters taken individually. In order to develop a model useful for extrapolation beyond the range of test data, a nonlinear model is presented. The parameters of this nonlinear model can easily be interpreted in terms of (1) the maximum attainable stiffness, (2) the ring age for maximum MOE growth rate vs. age, and (3) the shape parameter ofthe model. It was found that the nonlinear model matched the data well and incorporated the realistic conditions of zero MOE at zero ring age and a limit on the maximum attainable MOE.
机译:共研究了来自18个代表速生落叶松(Larix eurolepis [L. marschlinsii])的树木的492个标本。分别确定弹性模量(MOE),密度,寿命和每厘米环的平均值。开发了数学模型以根据其他参数预测MOE。首先提出了线性模型,显示了MOE对三个参数(密度,年龄和每厘米环数)中每个参数的依赖性。然后针对所有三个参数开发了MOE的多元线性回归模型。该模型的相关系数为0.66,相对于分别采用每个参数的每个模型而言,都有改进。还提出了仅通过视觉手段对MOE的预测,即在线性模型中仅使用年龄和每厘米的环数。该模型的相关系数为0.58,优于单独采用的任何参数。为了建立可用于超出测试数据范围外推的模型,提出了一种非线性模型。这个非线性模型的参数很容易解释为:(1)最大可获得的刚度;(2)最大MOE增长率与年龄的环龄;以及(3)模型的形状参数。发现该非线性模型很好地匹配了数据,并结合了零环龄下零MOE的实际条件和最大可达到MOE的限制。

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