Evaluation of Various Soil-Water Characteristic Curve Models for Soils from Greece

Panagiotis Sitarenios; Michael Bardanis; Michael Kavvadas

doi:10.1007/978-3-642-31343-1_9

Evaluation of Various Soil-Water Characteristic Curve Models for Soils from Greece

Panagiotis Sitarenios, Michael Bardanis, Michael Kavvadas

School of Energy, Construction and Environment

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The paper presents a regression analysis to fit the Burdine, Brutsaert and Mualem SWCC equations with the experimental data from seven fine- grained soils from Greece. A series of logarithmic correlations are proposed, providing fair estimates of the curve-fitting parameters with classification soil properties (grain size distribution and atterberg limits), expressed using the weighted PI, as proposed by Zapata et al. (2000).

Original language	English
Title of host publication	Unsaturated Soils: Research and Applications
Pages	69-76
Number of pages	8
Volume	2
DOIs	https://doi.org/10.1007/978-3-642-31343-1_9
Publication status	Published - 2012
Event	Second European Conference on Unsaturated Soils: Unsaturated Soils: Research and Applications - Napoli, Italy Duration: 20 Jun 2012 → 22 Jun 2012 Conference number: 2

Conference

Conference	Second European Conference on Unsaturated Soils
Abbreviated title	E-UNSAT 2012
Country	Italy
City	Napoli
Period	20/06/12 → 22/06/12

Keywords

correlations
models
soil-water characteristic curve
weighted pi

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abstract = "The paper presents a regression analysis to fit the Burdine, Brutsaert and Mualem SWCC equations with the experimental data from seven fine- grained soils from Greece. A series of logarithmic correlations are proposed, providing fair estimates of the curve-fitting parameters with classification soil properties (grain size distribution and atterberg limits), expressed using the weighted PI, as proposed by Zapata et al. (2000).",

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AU - Bardanis, Michael

AU - Kavvadas, Michael

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N2 - The paper presents a regression analysis to fit the Burdine, Brutsaert and Mualem SWCC equations with the experimental data from seven fine- grained soils from Greece. A series of logarithmic correlations are proposed, providing fair estimates of the curve-fitting parameters with classification soil properties (grain size distribution and atterberg limits), expressed using the weighted PI, as proposed by Zapata et al. (2000).

AB - The paper presents a regression analysis to fit the Burdine, Brutsaert and Mualem SWCC equations with the experimental data from seven fine- grained soils from Greece. A series of logarithmic correlations are proposed, providing fair estimates of the curve-fitting parameters with classification soil properties (grain size distribution and atterberg limits), expressed using the weighted PI, as proposed by Zapata et al. (2000).

KW - correlations

KW - models

KW - soil-water characteristic curve

KW - weighted pi

U2 - 10.1007/978-3-642-31343-1_9

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