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2021 | OriginalPaper | Buchkapitel

2. Estimation of SWCC and Permeability for Granular Soils

verfasst von : Wan-Huan Zhou, Zhen-Yu Yin, Ka-Veng Yuen

Erschienen in: Practice of Bayesian Probability Theory in Geotechnical Engineering

Verlag: Springer Singapore

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Abstract

This chapter presents a new estimation model for soil–water characteristic curve (SWCC) of granular soils with the effect of initial density. The proposed model, namely the modified Fredlund and Xing (MFX) model, is based on the Fredlund and Xing equation without increasing the number of parameters. The uncertainty of measurement data is analyzed by using the Bayesian method and applied in the estimation of the relative permeability function (kr). Different levels of confidence intervals of SWCC are obtained by using the Bayesian approach. It is found that the proposed method can better predict the kr values with smaller uncertainty for the soil with different initial dry densities than the Fredlund and Xing equation. The new MFX model is readily adopted for engineers to quickly estimate the SWCC and relative permeability of granular soil under different initial dry densities.

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Metadaten
Titel
Estimation of SWCC and Permeability for Granular Soils
verfasst von
Wan-Huan Zhou
Zhen-Yu Yin
Ka-Veng Yuen
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-9105-1_2