Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters

Estimation of unsaturated hydraulic conductivity could benefit many engineering or research problems such as water flow in the vadose zone, unsaturated seepage and capillary barriers for underground waste isolation. The unsaturated hydraulic conductivity of a soil is related to its saturated hydraul...

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Main Authors: Ji-Peng Wang, Pei-Zhi Zhuang, Ji-Yuan Luan, Tai-Heng Liu, Yi-Ran Tan, Jiong Zhang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/9/1826
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spelling doaj-67afb6a191e543618f9442dd3952505c2020-11-24T22:13:23ZengMDPI AGWater2073-44412019-08-01119182610.3390/w11091826w11091826Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size ParametersJi-Peng Wang0Pei-Zhi Zhuang1Ji-Yuan Luan2Tai-Heng Liu3Yi-Ran Tan4Jiong Zhang5School of Civil Engineering, Shandong University, Jinan 250061, ChinaSchool of Civil Engineering, University of Leeds, Leeds LS2 9JT, UKSchool of Civil Engineering, Shandong University, Jinan 250061, ChinaSchool of Civil Engineering, Shandong University, Jinan 250061, ChinaSchool of Civil Engineering, Shandong University, Jinan 250061, ChinaSchool of Civil Engineering, Shandong University, Jinan 250061, ChinaEstimation of unsaturated hydraulic conductivity could benefit many engineering or research problems such as water flow in the vadose zone, unsaturated seepage and capillary barriers for underground waste isolation. The unsaturated hydraulic conductivity of a soil is related to its saturated hydraulic conductivity value as well as its water retention behaviour. By following the first author&#8217;s previous work, the saturated hydraulic conductivity and water retention curve (WRC) of sandy soils can be estimated from their basic gradation parameters. In this paper, we further suggest the applicable range of the estimation method is for soils with <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> <mo>&nbsp;</mo> </mrow> </semantics> </math> </inline-formula>&gt; 0.02 mm and <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> </mrow> </semantics> </math> </inline-formula> &lt; 20, in which <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> </mrow> </semantics> </math> </inline-formula> is the grain diameter corresponding to 10% passing and <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> </mrow> </semantics> </math> </inline-formula> is the coefficient of uniformity (<inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> <mo>=</mo> <msub> <mi>d</mi> <mrow> <mn>60</mn> </mrow> </msub> <mo>/</mo> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> </mrow> </semantics> </math> </inline-formula>). The estimation method is also modified to consider the porosity variation effect. Then the proposed method is applied to predict unsaturated hydraulic conductivity properties of different sandy soils and also compared with laboratory and field test results. The comparison shows that the newly developed estimation method, which predicts the relative permeability of unsaturated sands from basic grain size parameters and porosity, generally has a fair agreement with measured data. It also indicates that the air-entry value is mainly relative to the mean grain size and porosity value change from the intrinsic value. The rate of permeability decline with suction is mainly associated with grain size polydispersity.https://www.mdpi.com/2073-4441/11/9/1826hydraulic conductivityunsaturated granular soilrelative permeabilitygrain size distributionporosity
collection DOAJ
language English
format Article
sources DOAJ
author Ji-Peng Wang
Pei-Zhi Zhuang
Ji-Yuan Luan
Tai-Heng Liu
Yi-Ran Tan
Jiong Zhang
spellingShingle Ji-Peng Wang
Pei-Zhi Zhuang
Ji-Yuan Luan
Tai-Heng Liu
Yi-Ran Tan
Jiong Zhang
Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
Water
hydraulic conductivity
unsaturated granular soil
relative permeability
grain size distribution
porosity
author_facet Ji-Peng Wang
Pei-Zhi Zhuang
Ji-Yuan Luan
Tai-Heng Liu
Yi-Ran Tan
Jiong Zhang
author_sort Ji-Peng Wang
title Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
title_short Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
title_full Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
title_fullStr Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
title_full_unstemmed Estimation of Unsaturated Hydraulic Conductivity of Granular Soils from Particle Size Parameters
title_sort estimation of unsaturated hydraulic conductivity of granular soils from particle size parameters
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-08-01
description Estimation of unsaturated hydraulic conductivity could benefit many engineering or research problems such as water flow in the vadose zone, unsaturated seepage and capillary barriers for underground waste isolation. The unsaturated hydraulic conductivity of a soil is related to its saturated hydraulic conductivity value as well as its water retention behaviour. By following the first author&#8217;s previous work, the saturated hydraulic conductivity and water retention curve (WRC) of sandy soils can be estimated from their basic gradation parameters. In this paper, we further suggest the applicable range of the estimation method is for soils with <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> <mo>&nbsp;</mo> </mrow> </semantics> </math> </inline-formula>&gt; 0.02 mm and <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> </mrow> </semantics> </math> </inline-formula> &lt; 20, in which <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> </mrow> </semantics> </math> </inline-formula> is the grain diameter corresponding to 10% passing and <inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> </mrow> </semantics> </math> </inline-formula> is the coefficient of uniformity (<inline-formula> <math display="inline"> <semantics> <mrow> <msub> <mi>C</mi> <mi>u</mi> </msub> <mo>=</mo> <msub> <mi>d</mi> <mrow> <mn>60</mn> </mrow> </msub> <mo>/</mo> <msub> <mi>d</mi> <mrow> <mn>10</mn> </mrow> </msub> </mrow> </semantics> </math> </inline-formula>). The estimation method is also modified to consider the porosity variation effect. Then the proposed method is applied to predict unsaturated hydraulic conductivity properties of different sandy soils and also compared with laboratory and field test results. The comparison shows that the newly developed estimation method, which predicts the relative permeability of unsaturated sands from basic grain size parameters and porosity, generally has a fair agreement with measured data. It also indicates that the air-entry value is mainly relative to the mean grain size and porosity value change from the intrinsic value. The rate of permeability decline with suction is mainly associated with grain size polydispersity.
topic hydraulic conductivity
unsaturated granular soil
relative permeability
grain size distribution
porosity
url https://www.mdpi.com/2073-4441/11/9/1826
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