Pore-scale permeability estimation of undisturbed granite residual soil: A comparison study by different methods

• Published in: Journal of soils and sediments Vol. 24; no. 4; pp. 1591 - 1613
• Main Authors: Que, Yun, Chen, Xian, Jiang, Zhenliang, Cai, Peichen, Xue, Bin, Xie, Xiudong
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024; Springer Nature B.V
• Subjects: Accuracy; Computed tomography; Deviation; Earth and Environmental Science; Empirical analysis; Environment; Environmental Physics; Environmental Risk Assessment; Estimation; Finite element method; Granite; Mathematical models; Membrane permeability; Permeability; Prediction models; Residual soils; Sec 2 • Global Change; Seepage; Soil permeability; Soil Science & Conservation; Soils; Sustainable Land Use • Research Article; Tomography; Permeability model; X-ray computed tomography images; Comparative analysis; Granite residual soil; Macropore
• ISSN: 1439-0108; 1614-7480
• DOI: 10.1007/s11368-024-03745-6

Purpose The macropore structure and seepage characteristics profoundly influence the stability of granite residual soil (GRS) slopes. However, accurately predicting the permeability of undisturbed GRS (U-GRS) is challenging owing to its complex and susceptible pore structure. Aims and methods Employing X-ray computed tomography (CT) technologies, a three-dimensional (3D) pore structure of U-GRS, was established. Permeability prediction for U-GRS samples was conducted using three simulation methods, namely, the pore network model (PNM), finite element method (FEM), and the lattice Boltzmann method (LBM), along with two empirical models (EMs)—specifically, Kozeny–Carman (K–C) and Katz–Thompson (K–T) models. Subsequently, the methods were comparatively analyzed for calculating efficiency and accuracy. Finally, a piecewise permeability prediction model (PPPM) for U-GRS based on the CT-LBM was proposed. Results The ranking of permeability estimation methods in terms of accuracy was as follows: LBM > PNM > FEM > EMs. Substantial disparity was observed in the permeabilities obtained using both FEM and EMs compared to other methods, which exhibited a deviation of up to six orders of magnitude. The PPPM demonstrated smaller prediction deviations than the EMs, with its accuracy influenced by the strategy for selecting calculation parameters. Conclusion The CT-LBM, which uses real pore structures, was employed to estimate the permeability of U-GRS. The PPPM, established based on this method, was found to be applicable for estimating U-GRS permeability. Graphical Abstract