Using grain size distribution to estimate permeability

Imre, E.; Bálint, Á.; Houng, D. T. Q.; López, L. L.; Répássy, L.; Mwinken, D. K.; Illés, Zs.; Datcheva, M.; Baille, W.; Barreto, D.; Leak, J.; Feng, S.

Abstract

This study examines the saturated water permeability using samples of loose and dense 2-fraction coarse sand mixtures. Besides the non-normalised entropy variables some additional parameters like density, diameter descriptors are used to characterize the pore sizes. The density parameter has paramount importance. Two diameter variables (Cu and d10) and the non-normalised base entropy variables (ΔS and S0) are compared.

Citation

Imre, E., Bálint, Á., Houng, D. T. Q., López, L. L., Répássy, L., Mwinken, D. K., Illés, Z., Datcheva, M., Baille, W., Barreto, D., Leak, J., & Feng, S. (2024, August). Using grain size distribution to estimate permeability. Presented at XVIII European Conference on Soil Mechanics and Geotechnical Engineering, Lisbon, Portugal

• Presentation Conference Type: Conference Paper (published)
• Conference Name: XVIII European Conference on Soil Mechanics and Geotechnical Engineering
• Start Date: Aug 26, 2024
• End Date: Aug 30, 2024
• Acceptance Date: Nov 30, 2023
• Online Publication Date: Sep 17, 2024
• Publication Date: 2024
• Deposit Date: Apr 20, 2024
• Publicly Available Date: Sep 18, 2025
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Pages: 2987-2990
• Book Title: Proceedings of the XVIII ECSMGE 2024
• ISBN: 9781032548166
• DOI: https://doi.org/10.1201/9781003431749-584
• Keywords: grading entropy, saturated permeability, coarse sand, model fitting, specific surface area, harmonic mean
• Public URL: http://researchrepository.napier.ac.uk/Output/3597283
• Related Public URLs: https://www.ecsmge-2024.com/