Approach to Estimate Hydraulic Conductivity Function from Soil–Water Retention Curve for Noncohesive Soils
Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 10
Abstract
Pavement materials are prone to damage due to mechanical loadings and rainfall infiltration. The rainfall initiates moisture movement within the layers and accelerates the damaging rate. A better understanding of the moisture flow and damage can be achieved by rigorous and efficient modeling. The hydraulic conductivity function (HCF) is one of the essential soil properties for numerical seepage modeling. Due to the difficulty in direct HCF measurements, it is generally predicted empirically or statistically by integration along the soil-water retention curve (SWRC) based on the fundamentals of fluid flow in porous media. This paper presents an analytical approach to predict the HCF from experimentally obtained data of an SWRC for noncohesive soils. The model is derived based on the Hagen-Poiseuille law and Darcy law and considered the pore size distribution, porosity, and geometry of the soil grains as inputs. The pore size distribution is considered analogous to a normalized SWRC based on the fundamentals of the capillary theory. The proposed model is validated based on a large number of published experimental data of SWRC and HCF, illustrating the robustness of the model. Additionally, the application of the model is presented for the pavement drainage design.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The work described in this paper is financially supported the by Prime Minister’s Fellowship Scheme for Doctoral Research, a public-private partnership between the Science and Engineering Research Board, Department of Science & Technology, Government of India, and the Confederation of Indian Industry with industry partner Maccaferri Environmental Solutions Pvt. Ltd., India.
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Received: Sep 14, 2020
Accepted: Mar 2, 2021
Published online: Jul 30, 2021
Published in print: Oct 1, 2021
Discussion open until: Dec 30, 2021
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