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A soil–water retention model with differentiated adsorptive and capillary regimes.

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Title: A soil–water retention model with differentiated adsorptive and capillary regimes.
Authors: Liu, Zhang-Rong1 (AUTHOR), Ye, Wei-Min1,2 (AUTHOR) ye_tju@tongji.edu.cn, Cui, Yu-Jun3 (AUTHOR), Zhu, He-Hua1,2 (AUTHOR), Chen, Yong-Gui1,2 (AUTHOR), Wang, Qiong1,2 (AUTHOR)
Source: Computers & Geotechnics. Jul2025, Vol. 183, pN.PAG-N.PAG. 1p.
Subjects: Pore size distribution, Adsorption capacity, Capillarity, Micropores, Databases
Abstract: Knowledge of the soil–water retention curve (SWRC) is crucial for understanding the hydro-mechanical behaviour of unsaturated soils. Traditional SWRC models were developed based on bundles of cylindrical capillaries (BCCs) using a residual water content, but they failed to accurately describe water adsorption in the dry end of the curve. In this paper, a new soil–water retention model over full suction range explicitly accounting for adsorptive and capillary processes was developed. A new equation for adsorptive water retention curve (AWRC) was derived from the Dubinin's theory for the water volume filling in micropores. A new equation for capillary water retention curve (CWRC) was developed by applying Young–Laplace equation to macro-pores with assumed Weibull pore size distribution (PSD). Meanwhile, with introduction of an anti-sigmoid condensation (or cavitation) probability function, the transition between the adsorption and capillary regimes was smoothly described. Then, by superposition of the AWRC and CWRC terms, a new SWRC model was proposed with seven physical parameters representing key characteristic states or rates of adsorption and capillarity. Finally, the robustness of the proposed model was verified against 269 SWRCs of 207 soils collected from the UNSODA 2.0 database and literature, involving various textures from clay to sand. For six representative soils, the proposed model performs better than three well-known existing models (VG, FX and Lu models). The differentiated adsorptive and capillary regimes of these soils accord well with the Lu model and experimental evidence. Of the seven model parameters, the estimated adsorption capacity (S ra max) depends linearly on the volumetric proportion of micro-pores (e m / e) and the capillary characteristic suction (ψ c) relates to void ratio following a power law, while the remaining parameters are insensitive to variation of void ratio. Accordingly, the proposed model was successfully extended to predict SWRCs of soils with different void ratios. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Geotechnics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: A soil–water retention model with differentiated adsorptive and capillary regimes.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Zhang-Rong%22">Liu, Zhang-Rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Wei-Min%22">Ye, Wei-Min</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ye_tju@tongji.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cui%2C+Yu-Jun%22">Cui, Yu-Jun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+He-Hua%22">Zhu, He-Hua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yong-Gui%22">Chen, Yong-Gui</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Qiong%22">Wang, Qiong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Geotechnics%22">Computers & Geotechnics</searchLink>. Jul2025, Vol. 183, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Pore+size+distribution%22">Pore size distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Adsorption+capacity%22">Adsorption capacity</searchLink><br /><searchLink fieldCode="DE" term="%22Capillarity%22">Capillarity</searchLink><br /><searchLink fieldCode="DE" term="%22Micropores%22">Micropores</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Knowledge of the soil–water retention curve (SWRC) is crucial for understanding the hydro-mechanical behaviour of unsaturated soils. Traditional SWRC models were developed based on bundles of cylindrical capillaries (BCCs) using a residual water content, but they failed to accurately describe water adsorption in the dry end of the curve. In this paper, a new soil–water retention model over full suction range explicitly accounting for adsorptive and capillary processes was developed. A new equation for adsorptive water retention curve (AWRC) was derived from the Dubinin's theory for the water volume filling in micropores. A new equation for capillary water retention curve (CWRC) was developed by applying Young–Laplace equation to macro-pores with assumed Weibull pore size distribution (PSD). Meanwhile, with introduction of an anti-sigmoid condensation (or cavitation) probability function, the transition between the adsorption and capillary regimes was smoothly described. Then, by superposition of the AWRC and CWRC terms, a new SWRC model was proposed with seven physical parameters representing key characteristic states or rates of adsorption and capillarity. Finally, the robustness of the proposed model was verified against 269 SWRCs of 207 soils collected from the UNSODA 2.0 database and literature, involving various textures from clay to sand. For six representative soils, the proposed model performs better than three well-known existing models (VG, FX and Lu models). The differentiated adsorptive and capillary regimes of these soils accord well with the Lu model and experimental evidence. Of the seven model parameters, the estimated adsorption capacity (S ra max) depends linearly on the volumetric proportion of micro-pores (e m / e) and the capillary characteristic suction (ψ c) relates to void ratio following a power law, while the remaining parameters are insensitive to variation of void ratio. Accordingly, the proposed model was successfully extended to predict SWRCs of soils with different void ratios. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers & Geotechnics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.compgeo.2025.107188
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Pore size distribution
        Type: general
      – SubjectFull: Adsorption capacity
        Type: general
      – SubjectFull: Capillarity
        Type: general
      – SubjectFull: Micropores
        Type: general
      – SubjectFull: Databases
        Type: general
    Titles:
      – TitleFull: A soil–water retention model with differentiated adsorptive and capillary regimes.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Liu, Zhang-Rong
      – PersonEntity:
          Name:
            NameFull: Ye, Wei-Min
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            NameFull: Cui, Yu-Jun
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            NameFull: Zhu, He-Hua
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            NameFull: Chen, Yong-Gui
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            NameFull: Wang, Qiong
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          Dates:
            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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            – Type: issn-print
              Value: 0266352X
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              Value: 183
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            – TitleFull: Computers & Geotechnics
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