Evaluation of horizontal permeability characteristics of granular subbase material

Kandlavath, Hemla Naik; Chowdhury, Priyadarshini Saha; Reddy, M. Amaranatha

doi:10.1016/j.trpro.2020.08.046

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…= − dt aLdh KAh (13) Both sides of eq 13 are integrated; the head height at the beginning of the test (t = t 1 ) is h 1 , and the head height at the end (t = t 2 ) is h 2 . Equations 14 and 15 are obtained.…”

Section: Methodsmentioning

confidence: 99%

“…The permeability coefficients of tailings at different horizontal locations within tailings ponds are different due to the different accumulation characteristics of the tailings when discharged. , As porous media, tailings in the tailings pond have small particle size and poor permeability, the permeability coefficient of which is usually measured by the variable head seepage experiment based on Darcy’s law. , With the in-depth study of scholars on the permeability characteristics of porous media, the empirical Kozeny–Carman equation (hereafter referred to as the K-C equation) establishes the mathematical relationship between permeability, porosity, and rock-specific surface, which is widely used . Moreover, many scholars have revised it.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Permeability Coefficient Calculations Based on the Mesostructure Parameters of Tailings

Chang

Yuan

et al. 2022

ACS Omega

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The permeability coefficient of tailings in tailings ponds, which can affect the release and migration of heavy metals in tailings, also affects the stability of dams by affecting the variation of the height of the saturation line. In this paper, tailings at different levels in a tailings pond were taken as research objects to measure the particle size and permeability coefficient of the tailings. At the same time, CT scanning technology and three-dimensional reconstruction were used to establish the three-dimensional model of the tailings, and the permeability coefficient of the tailings was analyzed from a mesostructural point of view. The results show the following: (1) The particle size of the tailings in the tailings pond decreased rapidly with the increase of distance from the discharge port. When the distance exceeded 8 m, a sudden change occurred, and the decreasing trend obviously slowed down. The particle size of tailings decreased, the compactness increased, and the permeability coefficient decreased gradually. (2) Statistics and analysis of the mesostructure affecting the permeability coefficient of tailings: the error between the calculated value and the measured value of the particle size and porosity of the three-dimensional reconstruction model was small, which proved that the model had high reliability. The porosity, sphericity, and particle size of the tailings were consistent and decreased with the increase of distance from the discharge port. The number of pore branches and nodes of the tailings increased with the increase of the distance from the discharge port, while the average radius and length of the pores decreased. The fragmentation index can characterize the pore channel connectivity of the tailings, which has a high negative linear correlation with the number of pore branches and a positive quadratic curve correlation with the average branch length of the pores. (3) Based on the Kozeny–Carman equation and data regression analysis method and combined with the results of permeability coefficient measurements, the fragmentation index was introduced into the Kozeny–Carman equation. Also, a modified model for calculating the permeability coefficient of the tailings was established based on the mesostructure parameters. By comparing the measured values of the tailings’ permeability coefficient, the error range was 1.91–13.24%. The research results have important theoretical significance for the prevention and control of heavy metal pollution and the stability of tailings ponds.

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Section: Methodsmentioning

confidence: 99%