The use of grading entropy in assessing granular soil hydraulic conductivity

Shuyin Feng*, Paul J Vardanega, Erdin Ibraim, Daniel Barreto, Emőke Imre

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
60 Downloads (Pure)

Abstract

Hydraulic conductivity is an important geotechnical engineering property as it is linked to the performance of many geo-structures. This study used a recently compiled granular soil database (CG/KSAT/7/1278) to evaluate the best fit probability density functions for important parameters in the database. The Loglogistic function was found to be the best-fit probability
density function for the parameters from CG/KSAT/7/1278 investigated in this paper. The grading entropy parameters (un-normalised) were used to develop a chart that highlights trends from the effect of changes of the gradation parameters on the estimated soil permeability.
Original languageEnglish
Title of host publicationSmart Geotechnics for Smart Societies
Subtitle of host publicationProceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17ARC), Astana, Kazakhstan, 14-18 August 2023
EditorsAskar Zhussupbekov, Assel Sarsembayeva, Victor N. Kaliakin
Place of PublicationLondon
PublisherCRC Press/Balkema, Taylor & Francis Group
Pages314-319
Number of pages6
ISBN (Electronic)9781003299127
DOIs
Publication statusPublished - 4 Aug 2023
Event17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering - Astana, Kazakhstan
Duration: 14 Aug 202318 Aug 2023

Conference

Conference17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering
Abbreviated title17ARC
Country/TerritoryKazakhstan
CityAstana
Period14/08/2318/08/23

Bibliographical note

Publisher Copyright:
© 2023 selection and editorial matter, Askar Zhussupbekov, Assel Sarsembayeva & Victor N. Kaliakin; individual chapters, the contributors.

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