The use of grading entropy in assessing granular soil hydraulic conductivity

Feng, S.; Vardanega, P.J.; Ibraim, E.; Barreto, D.; Imre, E.

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.

Citation

Feng, S., Vardanega, P., Ibraim, E., Barreto, D., & Imre, E. (2023, August). The use of grading entropy in assessing granular soil hydraulic conductivity. Presented at 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023, Astana, Kazakhstan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 17arc - 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering 2023
• Start Date: Aug 14, 2023
• End Date: Aug 18, 2023
• Acceptance Date: May 17, 2023
• Online Publication Date: Aug 4, 2023
• Publication Date: 2023
• Deposit Date: Apr 20, 2024
• Publicly Available Date: Apr 22, 2024
• Publisher: CRC Press
• Pages: 314-319
• Book Title: Smart Geotechnics for Smart Societies: Proceedings of the 17th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (17th ARC, Astana, Kazakhstan, 14-18 August, 2023)
• DOI: https://doi.org/10.1201/9781003299127-28
• Public URL: http://researchrepository.napier.ac.uk/Output/3597265