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Frost heave prediction for clayey soils

Xiaobai, Chen / Yaqing, Wang

AbstractFrost heave prediction for clayey soils was and is one of the most important problems in the field of frozen ground mechanics. Based on the results of frost susceptibility test of clayey soils with unidirectional freezing in the laboratory, a statistical model of frost heave prediction is proposed in this paper. The main factors influencing frost heave are considered, such as initial water content W, initial dry unit weight γd, groundwater level Hw, frost penetration rate Vf and plasticity index Ip. As a function of above factors, the frost heave ratio η could be expressed by: $η = B 0 W$ ^B
1γ d ^B
2 H w ^B
3 V f ^B
4 I p ^B
5, in where B0 to B5 are characteristic constants of soils. The calculated frost heave ratio is very close to the observational one with a probability P = 71% while absolute error ϵ < ± 1% and with P = 85% while ϵ < ± 2%.

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Frost heave prediction for clayey soils

Xiaobai, Chen / Yaqing, Wang

AbstractFrost heave prediction for clayey soils was and is one of the most important problems in the field of frozen ground mechanics. Based on the results of frost susceptibility test of clayey soils with unidirectional freezing in the laboratory, a statistical model of frost heave prediction is proposed in this paper. The main factors influencing frost heave are considered, such as initial water content W, initial dry unit weight γd, groundwater level Hw, frost penetration rate Vf and plasticity index Ip. As a function of above factors, the frost heave ratio η could be expressed by: $η = B 0 W$ ^B
1γ d ^B
2 H w ^B
3 V f ^B
4 I p ^B
5, in where B0 to B5 are characteristic constants of soils. The calculated frost heave ratio is very close to the observational one with a probability P = 71% while absolute error ϵ < ± 1% and with P = 85% while ϵ < ± 2%.

Frost heave prediction for clayey soils

Xiaobai, Chen / Yaqing, Wang

AbstractFrost heave prediction for clayey soils was and is one of the most important problems in the field of frozen ground mechanics. Based on the results of frost susceptibility test of clayey soils with unidirectional freezing in the laboratory, a statistical model of frost heave prediction is proposed in this paper. The main factors influencing frost heave are considered, such as initial water content W, initial dry unit weight γd, groundwater level Hw, frost penetration rate Vf and plasticity index Ip. As a function of above factors, the frost heave ratio η could be expressed by: $η = B 0 W$ ^B
1γ d ^B
2 H w ^B
3 V f ^B
4 I p ^B
5, in where B0 to B5 are characteristic constants of soils. The calculated frost heave ratio is very close to the observational one with a probability P = 71% while absolute error ϵ < ± 1% and with P = 85% while ϵ < ± 2%.

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Title:

Frost heave prediction for clayey soils

Contributors:

Xiaobai, Chen (author) / Yaqing, Wang (author)

Published in:

Cold Regions, Science and Technology ; 15 ; 233-238

Publication date:

1988-01-01

Size:

6 pages

ISSN:

DOI:

https://doi.org/10.1016/0165-232X(88)90070-5

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

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