Scientific Reports (Sep 2024)

Approaches for predicting the soil-water characteristic curves of compacted quartz sand based on particle packing theory

  • Qiang Liu,
  • Liang Guo,
  • Jiali Miao,
  • Shangsheng Guo,
  • Jie Shu

DOI
https://doi.org/10.1038/s41598-024-73821-x
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 17

Abstract

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Abstract The soil-water characteristic curve (SWCC) is an important basis for describing hydraulic properties, which is closely related to environmental problems such as the migration of toxic substances from groundwater and soil. The SWCC models vary considerably with respect to the void ratio or bulk density. However, the void ratio and bulk density of the same soil change at different depths or positions within a flat space. Accurate simulation or calculation requires a precise SWCC, but measuring every SWCC under each density or void ratio condition is difficult. In this study, two particle packing models, the Kwan model and the modified linear packing density model (MLPDM), were introduced into the van Genuchten (VG) model to predict the SWCC for soil at the minimum void ratio (the maximum dry density). Then, the prediction method of the SWCCs for the same soil with different densities or void ratios was given. A series of laboratory tests using quartz sand mixtures were conducted to verify the accuracy of two extended models (the K-VG model and the M-VG model). For the K-VG model, the average RMSE was 0.020. For the M-VG model, the average RMSE was 0.017. In general, the SWCCs predicted by the two extended models were consistent with the measured values.

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