The use of grading entropy in assessing granular soil hydraulic conductivity

Research Output

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.

Date:

04 August 2023
Publication Status:

Published
DOI:

10.1201/9781003299127-28
Funders:

Edinburgh Napier Funded

http://researchrepository.napier.ac.uk/output/3597265 <p>Feng, S., Vardanega, P., Ibraim, E., Barreto, D., & Imre, E. (2023). The use of grading entropy in assessing granular soil hydraulic conductivity. In A. Zhussupbekov, A. Sarsembayeva, & V. N. Kaliakin (Eds.), <i>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)</i> (314-319). https://doi.org/10.1201/9781003299127-28</p>

Citation

Feng, S., Vardanega, P., Ibraim, E., Barreto, D., & Imre, E. (2023). The use of grading entropy in assessing granular soil hydraulic conductivity. In A. Zhussupbekov, A. Sarsembayeva, & V. N. Kaliakin (Eds.), 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) (314-319). https://doi.org/10.1201/9781003299127-28