Quantifying the influence of grain morphology on sand hydraulic conductivity: A detailed pore-scale study. (July 2021)
- Record Type:
- Journal Article
- Title:
- Quantifying the influence of grain morphology on sand hydraulic conductivity: A detailed pore-scale study. (July 2021)
- Main Title:
- Quantifying the influence of grain morphology on sand hydraulic conductivity: A detailed pore-scale study
- Authors:
- Zheng, Wenbo
Hu, Xinli
Tannant, Dwayne D.
Zhou, Bo - Abstract:
- Abstract: This paper presents a detailed study to quantify the influence of grain morphology on sand hydraulic conductivity aided with pore-scale analysis. One hundred and twenty-nine numerical models of Leighton Buzzard sand and Jordan sand were simulated to obtain the flow characteristics, and Matlab code was developed to quantify their pore characteristics. The influence of grain morphology on sand hydraulic conductivity was analyzed using eight grain morphological descriptors, five permeability parameters, and six pore indexes. The results show that the grain morphology affects the specific surface, porosity, and flow tortuosity through the sand, which influences its hydraulic conductivity. The Kozeny-Carman equation well predicts sand hydraulic conductivity but the Ckc in this equation is not a constant and correlates strongly to hydraulic tortuosity. Sand containing grains that are less platy and less concave tend to have an isotropic sand pore/throat structure that associates with a lower Ckc . From the pore-scale perspective, hydraulic conductivity is highly affected by the D50 pore size, which is strongly related to the sand specific surface and porosity. More concave and less spherical grains tend to form more porous sand. Platy and concave grains tend to have a larger variation coefficient and smaller mean in the sand pore and throat sizes, causing a lower sand hydraulic conductivity. These quantitative analyses shed light on the role of grain morphology inAbstract: This paper presents a detailed study to quantify the influence of grain morphology on sand hydraulic conductivity aided with pore-scale analysis. One hundred and twenty-nine numerical models of Leighton Buzzard sand and Jordan sand were simulated to obtain the flow characteristics, and Matlab code was developed to quantify their pore characteristics. The influence of grain morphology on sand hydraulic conductivity was analyzed using eight grain morphological descriptors, five permeability parameters, and six pore indexes. The results show that the grain morphology affects the specific surface, porosity, and flow tortuosity through the sand, which influences its hydraulic conductivity. The Kozeny-Carman equation well predicts sand hydraulic conductivity but the Ckc in this equation is not a constant and correlates strongly to hydraulic tortuosity. Sand containing grains that are less platy and less concave tend to have an isotropic sand pore/throat structure that associates with a lower Ckc . From the pore-scale perspective, hydraulic conductivity is highly affected by the D50 pore size, which is strongly related to the sand specific surface and porosity. More concave and less spherical grains tend to form more porous sand. Platy and concave grains tend to have a larger variation coefficient and smaller mean in the sand pore and throat sizes, causing a lower sand hydraulic conductivity. These quantitative analyses shed light on the role of grain morphology in affecting the characteristics of the sand pores and throats, and their effect on sand hydraulic conductivity. … (more)
- Is Part Of:
- Computers and geotechnics. Volume 135(2021)
- Journal:
- Computers and geotechnics
- Issue:
- Volume 135(2021)
- Issue Display:
- Volume 135, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 135
- Issue:
- 2021
- Issue Sort Value:
- 2021-0135-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07
- Subjects:
- Sand -- Grain shape -- Hydraulic conductivity -- Pore-scale analysis -- Morphological descriptors -- Pore characteristics
Engineering geology -- Data processing -- Periodicals
Soil mechanics -- Data processing -- Periodicals
Rock mechanics -- Data processing -- Periodicals
624.1510285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0266352X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compgeo.2021.104147 ↗
- Languages:
- English
- ISSNs:
- 0266-352X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.696000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16812.xml