Pervious concrete has been widely used in parking lots and other lightweight streets. Performances of pervious concrete are strongly dependent on its pore structure characteristics. This paper investigates the relationship among porosity, permeability, compressive strength, durability and the pore structure characteristics of pervious concrete. The influences of basalt fiber and fine aggregate on the pervious concrete are also discussed. Pervious concrete specimens with different pore structures were prepared by combining basalt aggregate with size of 5–10 mm and 10–15 mm at different proportion. The pore structure characteristics such as area porosity, pore sizes, and pore distribution of pervious concrete were obtained and analyzed using image analysis method. Experimental results showed that the pore structure characteristics of pervious concrete have effects on its mechanical and durability behaviors. Homogeneous pore distribution and large distances between pores increase the compressive strength and improve freeze–thaw durability of pervious concrete. Due to the difference in the internal pore structure of pervious concretes, specimens with similar volumetric porosities had different permeability coefficients. A series of numerical models were regenerated through a MATLAB code using pore structural parameters derived from the image analysis method, then the numerical models were fed to ANSYS for meshing and further simulation. The comparison of the simulation and experimental results showed close accuracy, which verified the applied simulation analysis method based on image analysis technology.

中文翻译：

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基于图像分析的孔隙结构特征对透水混凝土材料力学性能和耐久性能的影响

透水混凝土已广泛用于停车场和其他轻型街道。透水混凝土的性能很大程度上取决于其孔隙结构特征。研究透水混凝土的孔隙率、渗透率、抗压强度、耐久性与孔隙结构特征之间的关系。还讨论了玄武岩纤维和细骨料对透水混凝土的影响。通过将5-10 mm和10-15 mm玄武岩骨料按不同比例混合制备具有不同孔隙结构的透水混凝土试件。获取透水混凝土的面积孔隙率、孔径、孔隙分布等孔隙结构特征，并采用图像分析方法进行分析。试验结果表明，透水混凝土的孔隙结构特征对其力学性能和耐久性能有影响。均匀的孔隙分布和较大的孔隙间距可提高透水混凝土的抗压强度和冻融耐久性。由于透水混凝土内部孔隙结构的差异，具有相似体积孔隙率的试件具有不同的渗透系数。使用图像分析方法导出的孔隙结构参数，通过 MATLAB 代码重新生成一系列数值模型，然后将数值模型输入 ANSYS 进行网格划分和进一步仿真。仿真与实验结果的对比表明，精度接近，验证了基于图像分析技术的仿真分析方法的应用。