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Void size distribution and hydraulic conductivity of a binary granular soil mixture.

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Title: Void size distribution and hydraulic conductivity of a binary granular soil mixture.
Authors: Chang, C. S.1 (AUTHOR) chang@ecs.umass.edu, Ma, T. T.1 (AUTHOR)
Source: Acta Geotechnica. Apr2024, Vol. 19 Issue 4, p2175-2189. 15p.
Subjects: Potting soils, Hydraulic conductivity, Soil granularity, Porosity, Binary mixtures, Rock permeability
Abstract: Permeability of binary mixtures of soils is important for several industrial and engineering applications. Previous models for predicting the permeability of a binary mixture of soils were primarily developed from Kozeny–Carman equation with an empirical approach. The permeability is predicted based on an equivalent particle size of the two species. This study is aimed to develop a model using a more fundamental approach. Instead of an equivalent particle size, the permeability is predicted based on the bimodal void sizes of the binary mixture. Because the bimodal void sizes are not available as commonly measured physical properties. We first develop an analytical method that has the capability of predicting the bimodal void sizes of a binary mixture. A permeability model is then developed based on the bimodal void sizes of the binary mixture. The developed permeability model is evaluated by comparing the predicted and experimentally measured results for binary mixtures of glass beads, crush sand, and gravel sand. The findings can contribute to a better understanding of the important influence of pore structure on the prediction of permeability. [ABSTRACT FROM AUTHOR]
Copyright of Acta Geotechnica is the property of Springer Nature 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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  Data: Void size distribution and hydraulic conductivity of a binary granular soil mixture.
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  Data: <searchLink fieldCode="AR" term="%22Chang%2C+C%2E+S%2E%22">Chang, C. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chang@ecs.umass.edu</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+T%2E+T%2E%22">Ma, T. T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Acta+Geotechnica%22">Acta Geotechnica</searchLink>. Apr2024, Vol. 19 Issue 4, p2175-2189. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Potting+soils%22">Potting soils</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulic+conductivity%22">Hydraulic conductivity</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+granularity%22">Soil granularity</searchLink><br /><searchLink fieldCode="DE" term="%22Porosity%22">Porosity</searchLink><br /><searchLink fieldCode="DE" term="%22Binary+mixtures%22">Binary mixtures</searchLink><br /><searchLink fieldCode="DE" term="%22Rock+permeability%22">Rock permeability</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Permeability of binary mixtures of soils is important for several industrial and engineering applications. Previous models for predicting the permeability of a binary mixture of soils were primarily developed from Kozeny–Carman equation with an empirical approach. The permeability is predicted based on an equivalent particle size of the two species. This study is aimed to develop a model using a more fundamental approach. Instead of an equivalent particle size, the permeability is predicted based on the bimodal void sizes of the binary mixture. Because the bimodal void sizes are not available as commonly measured physical properties. We first develop an analytical method that has the capability of predicting the bimodal void sizes of a binary mixture. A permeability model is then developed based on the bimodal void sizes of the binary mixture. The developed permeability model is evaluated by comparing the predicted and experimentally measured results for binary mixtures of glass beads, crush sand, and gravel sand. The findings can contribute to a better understanding of the important influence of pore structure on the prediction of permeability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Acta Geotechnica is the property of Springer Nature 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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      – Type: doi
        Value: 10.1007/s11440-023-02025-w
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2175
    Subjects:
      – SubjectFull: Potting soils
        Type: general
      – SubjectFull: Hydraulic conductivity
        Type: general
      – SubjectFull: Soil granularity
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      – SubjectFull: Porosity
        Type: general
      – SubjectFull: Binary mixtures
        Type: general
      – SubjectFull: Rock permeability
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      – TitleFull: Void size distribution and hydraulic conductivity of a binary granular soil mixture.
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              Text: Apr2024
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