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A database of saturated hydraulic conductivity of fine-grained soils: probability density functions

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)255-261
Number of pages8
JournalGeorisk: Assessment and Management of Risk for Engineered Systems and Geohazards
Volume13
Issue number4
Early online date15 Aug 2019
DOIs
DateAccepted/In press - 4 Aug 2019
DateE-pub ahead of print - 15 Aug 2019
DatePublished (current) - 1 Nov 2019

Abstract

Saturated hydraulic conductivity is a key soil mechanics parameter which has widespread use in many geotechnical applications. In order to set up stochastic analyses, geotechnical modellers require databases to calibrate the parameter ranges and distributions employed. This letter uses a recently compiled database of saturated hydraulic conductivity measurements called FG/KSAT-1358 and reports on the fitting of various probability density functions to the data of void ratio, liquid limit, water content ratio and the negative natural logarithm of ksat. It is shown that the best fit distribution is the lognormal for void ratio, while the loglogistic distribution is most favoured for liquid limit and water content ratio, and the best fit distribution for -ln[ksat(m/s)] is the logistic function. The data of -ln[ksat(m/s)] is then subdivided according to liquid limit level, silt or clay classification, type of hydraulic conductivity test used and sample preparation/condition. When some subdivisions of the database are analysed, the best fit distribution is more variable with GEV and logistic being the most favoured for most of the studied subsets.

    Research areas

  • Saturated Hydraulic Conductivity, Probability Density Functions, Database, Fine-grained soils, Akaike information criterion, corrected Akaike information criterion

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Taylor & Francis at https://www.tandfonline.com/doi/full/10.1080/17499518.2019.1652919. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF document

    Embargo ends: 15/08/20

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