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A novel criterion for assessing frost heave susceptibility of soils

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Abstract

Frost heave susceptibility is a key index for designing the subgrade fillings of high-speed railways in cold regions. The existing methods for assessing frost heave susceptibility are mainly empirical or semi-empirical, and most of them are defined based on the fine content of soils. This study attempts to propose a new criterion based on the analytical solution of frost heave in the soil. A number of experiments are used to validate the proposed analytical model, which shows that the computed value of frost heave matches well with the measured data. The proposed model indicates that frost heave is a proportional function of the square root of time. Thus, the slope R named frost heave classification index of the proportional function is defined as a new index for frost heave susceptibility classification. A value of R less than 0.21 corresponds to a non-frost heave susceptibility condition, a value greater than 1.18 corresponds to a high frost heave susceptibility condition, and a value in the range of 0.21 and 1.18 means a frost heave susceptibility condition. R is directly related to the boundary temperatures and soil–water and soil-freezing characteristics. The parameter study shows that reducing the values of SWCC fitting parameter α and cold end temperature Tc or increasing the values of permeability of frozen soil kf, the saturated volumetric water content θs, the unfrozen water content at the frost front θu and the residual volumetric water content θr increases the possibility of frost heave. Compared with the existing method, the new index has a clear theoretical basis, and the parameters are easily obtained. It may be a rational method for assessing frost heave susceptibility.

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (No. 51878665 and No. 52178376), Science and Technology Research and Development Program of China Railway Group Limited (Grant No: 2022-ZD-13), Program of Youth Talent Support for Hunan Province (2020RC3008), Postgraduate Innovation Project of Hunan Province, China (No.CX20210126), and Postgraduate Innovation Project of Central South University (No. 2021zzts0215).

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Teng, J., He, H., Feng, X. et al. A novel criterion for assessing frost heave susceptibility of soils. Acta Geotech. 19, 2233–2249 (2024). https://doi.org/10.1007/s11440-023-02028-7

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