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Titre :
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Probabilistic analysis of soil-water characteristic curves
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Auteurs :
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Phoon, Kok-Kwang, Auteur ;
Anastasia Santoso, Auteur ;
Ser-Tong Quek, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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Journal of geotechnical and geoenvironmental engineering (Vol. 136 N° 3, Mars 2010)
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Article en page(s) :
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pp. 445-455
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Note générale :
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Géotechnique
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Langues :
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Anglais
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Index. décimale :
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624.1 (Infrastructures.Ouvrages en terre. Fondations. Tunnels)
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Tags :
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Unsaturated soils Soil-water characteristic curve Curve fitting Probability Translation Lognormal Correlation Random vector
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Résumé :
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Direct measurement of the soil-water characteristic curve (SWCC) is costly and time consuming. A first-order estimate from statistical generalization of experimental data belonging to soils with similar textural and structural properties is useful. A simple approach is to fit the data with a nonlinear function and to construct an appropriate probability model of the curve-fitting parameters. This approach is illustrated using sandy clay loam, loam, loamy sand, clay, and silty clay data in Unsaturated Soil Database. This paper demonstrates that a lognormal random vector is suitable to model the curve-fitting parameters of the SWCC. Other probability models using normal, gamma, Johnson, and other distributions do not provide better fit than the proposed lognormal model. The engineering impact of adopting a probabilistic SWCC is briefly discussed by studying the uncertainty of unsaturated shear strength due to the uncertainty of SWCC.
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DEWEY :
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624.1
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ISSN :
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1090-0241
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En ligne :
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http://ascelibrary.aip.org/vsearch/servlet/VerityServlet?KEY=JGGEFK&smode=strresults&sort=chron&maxdisp=25&pjournals=JGGEFK&pyears=2010&possible1zone=article&fromyear=2010&frommonth=Mar&fromvolume=136&fromissue=3&OUTLOG=NO&viewabs=JGGEFK&key=DISPLAY&docID
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