A method is presented for reconstructing the geometry, the pith, the knots and the local fibre orientations in timber boards, based on X-ray computed tomography scans. The local fibre deviations around knots were found by a new algorithm, based on image analysis. The experimental data comprised tomography scans, eigenfrequency measurements and four-point bending tests of 20 Norway spruce boards. 3D and 1D finite element models of the pure bending zone of the bending tests were created, accounting for the exact board geometry and the reconstructed fibre deviations. A purely density based, a purely eigenfrequency based, and a mixed constitutive law were compared. Model estimations showed a high coefficient of determination (${\mathrm{R}}^2$) for global modulus of elasticity (MoE) (${\mathrm{R}}^2⩽0.93$), local MoE (${\mathrm{R}}^2⩽0.87$), bending strength (${\mathrm{R}}^2⩽0.83$), and the location of initial failure. Constitutive laws accounting for eigenfrequency showed the most accurate results. In the future, adapting the method for logs could enable analyses of boards before sawing.

提出了一种基于 X 射线计算机断层扫描重建木材板的几何形状、木髓、节和局部纤维取向的方法。基于图像分析的新算法发现了结周围的局部纤维偏差。实验数据包括 20 块挪威云杉板的断层扫描、特征频率测量和四点弯曲测试。创建了弯曲测试纯弯曲区的 3D 和 1D 有限元模型，考虑了精确的板几何形状和重建的纤维偏差。比较了纯基于密度、纯本征频率和混合本构定律。模型估计显示出很高的决定系数（${\mathrm{电阻}}^2$) 对于全局弹性模量 (MoE) (${\mathrm{电阻}}^2⩽0.93$), 本地教育部 (${\mathrm{电阻}}^2⩽0.87$), 弯曲强度 (${\mathrm{电阻}}^2⩽0.83$)，以及初始故障的位置。考虑特征频率的本构法则显示出最准确的结果。将来，采用原木方法可以在锯切前对板进行分析。