Abstract This study is helpful to improve the understanding of Engineering leakage mechanism in cold regions. Firstly, computed tomography (CT) tests are carried out on the same sample at 20 °C after 0, 5, 10, 15, 20, 25 FT cycles, and the 3D visualization models of sample after 0, 5, 10, 15, 20, 25 FT cycles are obtained by a volume rendering algorithm. Secondly, the 3D visualization models are imported into Fluent, and the passing fluid is liquid water. The permeability coefficient of sample after 0, 5, 10, 15, 20, 25 FT cycles is predicted by computational fluid dynamics (CFD). In addition, a novel pore extraction (PE) algorithm is proposed to significantly improve the calculation efficiency of permeability prediction. Thirdly, the predicted permeability coefficient (20 °C) is compared with the true permeability coefficient (20 °C). The results show that the method proposed in this paper can well predict the permeability coefficient of the sample. Finally, the effect of FT cycles on the seepage field of sample is analyzed, and the mechanism of the permeability evolution of the sample under FT cycles is studied.

中文翻译：

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基于3D重建技术的冻融循环多孔土材料渗透率预测

摘要 本研究有助于加深对寒冷地区工程渗漏机理的认识。首先，对同一样品在 0、5、10、15、20、25 个 FT 循环后在 20°C 下进行计算机断层扫描 (CT) 测试，并在 0、5、10、15 次后样品的 3D 可视化模型， 20、25个FT循环是通过体绘制算法获得的。其次，将3D可视化模型导入Fluent，通过的流体为液态水。通过计算流体动力学 (CFD) 预测样品在 0、5、10、15、20、25 次 FT 循环后的渗透系数。此外，提出了一种新的孔隙提取（PE）算法，以显着提高渗透率预测的计算效率。第三，将预测渗透系数 (20 °C) 与真实渗透系数 (20 °C) 进行比较。结果表明，本文提出的方法能够很好地预测样品的渗透系数。最后，分析了FT循环对样品渗流场的影响，研究了FT循环下样品渗透率演化的机理。