A study of the permeability of sand

Wilsey, Edward F.; Mavis, Frederic T.

doi:10.17077/006163

Cited by 7 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The original paper [20] and [41,42] support the use of 𝑑 ℎ instead of 𝑑 10 , as often reported in the literature; 𝑛 function fitted by [3] Zamarin (ZAM) [3,32] 𝑘 =…”

Section: Predictive Equations For Permeabilitymentioning

confidence: 96%

Permeability of sandy soils estimated from particle size distribution and field measurements

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

Accurate estimation of soil permeability is crucial in many geotechnical applications. Empirical and theoretical equations based on soil particle size distribution (PSD) offer a fast and cheap way for preliminary estimation of permeability in granular soils, however the results obtained from various formulas available in the literature often show significant discrepancies. While several comparative studies on this topic have been published, no definite conclusions can be drawn on the performance of the predictive equations in comparison with in-situ permeability measurements. Many formulas require porosity or void ratio as input parameter, which is difficult to obtain for granular soil in-situ. In this study we applied 30 predictive equations to estimate permeability of sandy soil in an outwash plain deposit. The equations were divided into 5 groups, based on their structure and the required input parameters. Empirical formulas were used to estimate the expected in-situ porosity range. The obtained permeability values were compared to the results of in-situ permeameter measurements and pumping tests. Significant differences in the results and in their sensitivity to porosity were found between the 5 groups of methods. In general, simple equations which do not include porosity were in better agreement with measurements than the other groups.

show abstract

“…The original paper [20] and [41,42] support the use of 𝑑 ℎ instead of 𝑑 10 , as often reported in the literature; 𝑛 function fitted by [3] Zamarin (ZAM) [3,32] 𝑘 =…”

Section: Predictive Equations For Permeabilitymentioning

confidence: 96%

Permeability of sandy soils estimated from particle size distribution and field measurements

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

show abstract

Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin

Urumović

2016

Hydrogeol J

View full text Add to dashboard Cite

A heterogeneous multiscale MPFA method for single-phase flows in porous media with inertial effects

2018

View full text Add to dashboard Cite

Upscaling of flow from pore to Darcy scale is a long-standing research field within flow in porous media. It is well known that non-linearities can occur in near-well regions and high-porosity or fractured media. At the same time, the upscaled non-linear effects associated with high flow rates are hard to quantify a priori with single-scale models. Advances in pore-scale imaging combined with increased computational have made flow simulations in small pore-scale domain feasible, but computations on domains larger than at most a few centimeters are still elusive. In this work, we present a multiscale simulation framework that automatically adapts to non-linear effects as they arise. We formulate a control volume heterogeneous multiscale method (CVHMM) by coupling of a Darcy-scale control volume method with a constitutive relation that is captured based on the fine-scale physics. While the CVHMM formulation works with arbitrary upscaled laws, we emphasize its ability to be applied in fully discrete multiscale context, in particular when a finite element solver is used for solving Navier-Stokes equations on the fine-scale pore geometry. Previous versions of CVHMM are consistent only when the coarse grid is aligned with the upscaled permeability. Herein, we generalize CVHMM by introducing a new coarse solver, thus significantly improving the applicability of the method. The presented method is applied to study flow in nearwell regions, as well as media with fractures and irregular grain shapes. The examples show that the method successfully copes with general grids and pore geometries and handles flows with varying degree of non-linearities even outside the domain of applicability of classical upscaled models. In terms of computational efficiency, the method seamlessly localizes computations to regions where non-linear effects are important.

show abstract

A study of the permeability of sand

Cited by 7 publications

References 0 publications

Permeability of sandy soils estimated from particle size distribution and field measurements

Permeability of sandy soils estimated from particle size distribution and field measurements

Comment on “HydrogeoSieveXL: an Excel-based tool to estimate hydraulic conductivity from grain-size analysis”: technical note published in Hydrogeology Journal (2015) 23: 837–844, by J. F. Devlin

A heterogeneous multiscale MPFA method for single-phase flows in porous media with inertial effects

Contact Info

Product

Resources

About