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Permeability of binary mixtures of soils is important for several industrial and engineering applications. Previous models for predicting the permeability of a binary mixture of soils were primarily developed from Kozeny–Carman equation with an empirical approach. The permeability is predicted based on an equivalent particle size of the two species. This study is aimed to develop a model using a more fundamental approach. Instead of an equivalent particle size, the permeability is predicted based on the bimodal void sizes of the binary mixture. Because the bimodal void sizes are not available as commonly measured physical properties. We first develop an analytical method that has the capability of predicting the bimodal void sizes of a binary mixture. A permeability model is then developed based on the bimodal void sizes of the binary mixture. The developed permeability model is evaluated by comparing the predicted and experimentally measured results for binary mixtures of glass beads, crush sand, and gravel sand. The findings can contribute to a better understanding of the important influence of pore structure on the prediction of permeability.
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A Review of Particle Packing Models and Their Applications to Characterize Properties of Sand-Silt Mixtures
This paper reviews particle packing models and explores their application in geotechnical engineering, specifically for sand-silt mixtures. The review covers key models, including limiting case, linear, and non-linear packing models, focusing on their mathematical structures, physical principles, assumptions, and limitations through the concept of excess free volume. The application of particle packing models in geotechnical engineering is explored in characterizing the properties of sand-silt mixtures, offering insights into maximum, minimum, and critical void ratios and inter-granular void ratio, and the prediction of mechanical properties.
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- Award ID(s):
- 1917238
- PAR ID:
- 10555089
- Publisher / Repository:
- Multidisciplinary Digital Publishing Institute
- Date Published:
- Journal Name:
- Geotechnics
- Volume:
- 4
- Issue:
- 4
- ISSN:
- 2673-7094
- Page Range / eLocation ID:
- 1124 to 1139
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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