The understanding of pore characteristics is the basis for studying the macroscopic physical properties of wood. Herein, mercury intrusion porosimetry (MIP) was analyzed in detail as a function of pressure to analyze wood samples. Additionally, fractal analysis was performed from the MIP derived data to establish the relationship between the fractal dimension and the structural parameters. The results demonstrate that in spite of the large variability of the MIP data from different wood species, the overall trend can be approximated. The aperture size ranged from 2.0 nm to 350 µm with a corresponding porosity ranging from 44.26 to 73.18%. The threshold pressure, average pore radius and pore-to-throat ratio extracted from the MIP data can be used as a valid parameter to evaluate the structural characteristics. The fractal dimension values in the corresponding macropore, mesopore and micropore aperture range intervals are 2.978, 2.827 and 2.438, respectively, which indicate a higher degree of pore complexity for larger pores. Negative correlations are observed between the fractal dimension and porosity with R 2 values of 0.85, and in addition, positive correlations are observed between the fractal dimension and the average pore radius and pore-to-throat ratio with corresponding R 2 values of 0.66 and 0.52, respectively.

中文翻译：

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结合压汞孔隙率法和分形理论确定木材的孔隙特性

对孔隙特征的了解是研究木材宏观物理性质的基础。在本文中，详细分析了压汞法 (MIP) 作为压力的函数来分析木材样品。此外，根据 MIP 派生数据进行分形分析，以建立分形维数与结构参数之间的关系。结果表明，尽管来自不同木材物种的 MIP 数据存在很大差异，但总体趋势可以近似。孔径大小范围为 2.0 nm 至 350 µm，相应的孔隙率范围为 44.26 至 73.18%。从 MIP 数据中提取的阈值压力、平均孔隙半径和孔喉比可用作评估结构特征的有效参数。相应的大孔、中孔和微孔孔径范围区间的分形维数值分别为 2.978、2.827 和 2.438，表明较大的孔隙具有更高的孔隙复杂度。分形维数与孔隙度呈负相关，R 2 值为0.85，此外，分形维数与平均孔隙半径和孔喉比呈正相关，对应的R 2 值为0.66和0.52 ， 分别。