Permeability of silty clay and its prediction model based on NMR T2 double cutoff value

To investigate the relationship between soil permeability, pore structure characteristics, and their evolution during compression deformation, this study conducts consolidation permeability tests on undisturbed and remolded samples of silty clay from the Peijia Ying Station of the Jinan Metro. Nuclear magnetic resonance (NMR) tests are performed on samples under different consolidation pressures. The results elucidate the reasons for the high permeability of the undisturbed silty clay based on the variations in hydraulic conductivity and pore structure. A permeability prediction model is proposed, utilizing dual cutoff values from the NMR T<sub>2</sub> spectrum. The findings indicate that the undisturbed silty clay exhibits significant structural integrity, with permeability levels much higher than those of remolded soil with the same void ratio. As consolidation pressure increases, hydraulic conductivity gradually decreases. The T<sub>2</sub> spectrum of both undisturbed and remolded silty clay displays a bimodal structure. Based on the NMR dual cutoff values, the pore structure can be classified into three categories: micropores, mesopores, and macropores. The compression of macropores is identified as the primary reason for the reduction in hydraulic conductivity with increasing consolidation pressure. The proposed model takes into account the differences in fluid states within pores of varying diameters, as well as the effects of capillary tortuosity on soil permeability, effectively enhancing the accuracy of hydraulic conductivity predictions.

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Publication Details

Journal
Scientific Reports
Published
2026-03-03
DOI
https://doi.org/10.1038/s41598-026-41616-x
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.00

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article

Permeability of silty clay and its prediction model based on NMR T2 double cutoff value

Xiaowei Wang, Cheng Chen, Xiaodong Zhao
Scientific Reports
Soil and Unsaturated Flow
article

Permeability of silty clay and its prediction model based on NMR T2 double cutoff value

Xiaowei Wang, Cheng Chen, Xiaodong Zhao
article en

Abstract

To investigate the relationship between soil permeability, pore structure characteristics, and their evolution during compression deformation, this study conducts consolidation permeability tests on undisturbed and remolded samples of silty clay from the Peijia Ying Station of the Jinan Metro. Nuclear magnetic resonance (NMR) tests are performed on samples under different consolidation pressures. The results elucidate the reasons for the high permeability of the undisturbed silty clay based on the variations in hydraulic conductivity and pore structure. A permeability prediction model is proposed, utilizing dual cutoff values from the NMR T<sub>2</sub> spectrum. The findings indicate that the undisturbed silty clay exhibits significant structural integrity, with permeability levels much higher than those of remolded soil with the same void ratio. As consolidation pressure increases, hydraulic conductivity gradually decreases. The T<sub>2</sub> spectrum of both undisturbed and remolded silty clay displays a bimodal structure. Based on the NMR dual cutoff values, the pore structure can be classified into three categories: micropores, mesopores, and macropores. The compression of macropores is identified as the primary reason for the reduction in hydraulic conductivity with increasing consolidation pressure. The proposed model takes into account the differences in fluid states within pores of varying diameters, as well as the effects of capillary tortuosity on soil permeability, effectively enhancing the accuracy of hydraulic conductivity predictions.

Scientific Reports
Shandong Iron and Steel Group (China) (CN), Guangzhou Metro Group (China) (CN), Chongqing Jiaotong University (CN)
Chongqing Municipal Education Commission
Life in Land
Openalex Percentile: Top 38%
Soil and Unsaturated Flow
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Permeability of silty clay and its prediction model based on NMR T2 double cutoff value — Xiaowei Wang, Cheng Chen, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS