杉木木材纵向弹性模量二元预测模型的构建

为构建稳健、实用的木材纵向弹性模量预测模型，以人工林杉木木材为研究对象，分别测定了同一非标无疵小试样的气干密度、微纤丝角和顺纹抗拉弹性模量，构建了以木材密度或微纤丝角为单一变量及二者的特定组合为自变量的3种纵向弹性模量预测模型。结果表明，3种预测模型的预测精度存在显著差异。以密度与微纤丝角比值为自变量所构建的预测模型的决定系数最高、预测残差标准差最小。该模型证实，密度和微纤丝角共同影响木材的顺纹抗拉弹性模量。对于杉木，影响其顺纹抗拉弹性模量的关键因子是密度。 

Constructing a two-variable model for predicting longitudinal MOE of wood:a case study on Chinese fir wood

To achieve non-destructive evaluation of wood properties,we took plantation wood of Chinese fir as an example,air-dried density,microfibril angle(MFA) and longitudinal modulus(EL) were experimentally measured on the same non-standard small clear wood sample.Three prediction models of EL were constructed based on density and MFA.The accuracy of these models was different.Compared with the single variable models,the prediction model from the ratio of density and MFA has the highest coefficient of determination,and minimum residual standard deviation.The model confirms that both density and MFA are the main factors influencing tensile modulus.Regarding to Chinese fir,the most critical factor is density.