The use of grading entropy in assessing granular soil hydraulic conductivity
Feng, Shuyin and Vardanega, P.J. and Ibraim, E. and Barreto, D. and Imre, E. (2023) The use of grading entropy in assessing granular soil hydraulic conductivity. In: Smart Geotechnics for Smart Societies. Taylor & Francis, pp. 314-319. ISBN 9781003299127
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10.1201_9781003299127-28_chapterpdf.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (859kB) |
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.
| Item Type: | Book Section | ||||
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| Identification Number: | https://doi.org/10.1201/9781003299127-28 | ||||
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| Subjects: | CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building | ||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment > College of Built Environment | ||||
| Depositing User: | Gemma Tonks | ||||
| Date Deposited: | 06 Jun 2024 13:27 | ||||
| Last Modified: | 20 Jun 2024 11:45 | ||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/15554 |
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