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Geomechanics and Engineering
  Volume 20, Number 5, March10 2020, pages 411-420
DOI: http://dx.doi.org/10.12989/gae.2020.20.5.411
 


A simplified directly determination of soil-water retention curve from pore size distribution
Geng Niu, Longtan Shao, De\'an Sun and Xiaoxia Guo

 
Abstract
    Numbers fitting-curve equations have been proposed to predict soil-water retention curve (SWRC) whose parameters have no definitude physical meaning. And these methods with precondition of measuring SWRC data is time-consuming. A simplified directly method to estimate SWRC without parameters obtained by fitting-curve is proposed. Firstly, the total SWRC can be discretized into linear segments respectively. Every segment can be represented by linear formulation and every turning point can be determined by the pore-size distribution (PSD) of Mercury Intrusion Porosimetry (MIP) tests. The pore diameters governing the air-entry condition (AEC) and residual condition (RC) can be determined by the PSDs of MIP test. The PSD changes significantly during drying in SWR test, so the determination of AEC and RC should use the PSD under corresponding suction conditions. Every parameter in proposed equations can be determined directly by PSD without curve-fitting procedure and has definitude physical meaning. The proposed equations give a good estimation of both unimodal and bimodal SWRCs.
 
Key Words
    soil water retention curve; pore size distribution; air-entry condition; residual condition; mercury intrusion porosimetry
 
Address
Geng Niu and Xiaoxia Guo: 1.) State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, Liaoning Province, China
2.) Department of Engineering Mechanics, Dalian University of Technology, 116024 Dalian, Liaoning Province, China

Longtan Shao: State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024 Dalian, Liaoning Province, China

De\'an Sun: Department of Civil Engineering, Shanghai University, 200444 Shanghai, China
 

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