Permeability assessment of some granular mixtures

Feng, Shuyin; Vardanega, Paul J.; Ibraim, Erdin; Widyatmoko, Iswandaru; Ojum, Chibuzor; O’Kelly, Brendan C.; Nogal, María

doi:10.1680/jgeot.19.d.005

Cited by 7 publications

(10 citation statements)

References 9 publications

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“…Seelheim (1880) stated that in porous media flow permeability correlates to the square value of its characteristic pore diameter. Since then, many models for predicting permeability coefficients have been proposed based on empirical relations (Hazen, 1892; Shepherd, 1989), Poiseuille capillary tubes (Carman, 1956; Mortensen et al., 2005), statistical regression (Feng et al., 2019; J. P. Wang et al., 2017), and effective hydraulic radius (Carman, 1956; Costa, 2006). Due to the complexity of pore network, it is challenging to rigorously formulate a satisfactory theoretical relation between viscous flow resistance and intrinsic geometry properties of granular porous media.…”

Section: Introductionmentioning

confidence: 99%

Permeability of Uniformly Graded 3D Printed Granular Media

Wei

Wang

Pereira³

et al. 2021

Geophysical Research Letters

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The present work explores water permeability of uniformly graded irregular grains using 3D printing with controlled shapes and fractal morphological features at low Reynold's number for viscous flow. From large amount of real 3D granular morphological data, a scaling law, in terms of fractal dimension, is found to be followed. With this universal law, sand grains with controlled fractal morphological features are generated using Spherical Harmonics, and then created using 3D printing technique for water permeability tests. A modified Kozeny‐Carman equation is proposed through more accurate determination of specific area, as a function of relative roughness and fractal dimension, than approximation using the volume‐equivalent sphere. By isolating the contributions from specific area, the shape coefficient is found to be insensitive to particle morphology. Through benchmarking the model prediction against experiments from both this work and past literature, we demonstrate the validity and wide applicability of the modified Kozeny‐Carman equation.

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Section: Introductionmentioning

confidence: 99%

Permeability of Uniformly Graded 3D Printed Granular Media

Wei

Wang

Pereira³

et al. 2021

Geophysical Research Letters

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“…Using a similar database to that presented in Vardanega et al (2017), Feng et al (2018b) performed multiple linear regression analysis to a large database of hydraulic conductivity measurements on asphalt concrete using the grading entropy co-ordinates as predictors. Feng et al (2018a) performed similar analysis for a set of laboratory data on a single gravel and found Equation 8 8Like the 'Hazen' and 'Shepherd' approaches no measurement of void ratio is included in this approach. Table 1 shows the list of ten publications used to source the information for inclusion in the database studied in this paper.…”

Section: The Grading Entropy Methodsmentioning

confidence: 99%

“…Engineers need to make rapid assessments of the hydraulic conductivity of pavement materials. This paper follows a detailed laboratory study which compared the 'Hazen', 'Shepherd', 'Kozeny-Carman' and 'Chapuis' models along with a regression model that uses the grading entropy coordinates (Feng, 2017;Feng et al 2018a). Feng (2017) and Feng et al (2018a) presented results on only one material but testing was conducted over a wide range gradations.…”

Section: Introductionmentioning

confidence: 99%

“…This paper follows a detailed laboratory study which compared the 'Hazen', 'Shepherd', 'Kozeny-Carman' and 'Chapuis' models along with a regression model that uses the grading entropy coordinates (Feng, 2017;Feng et al 2018a). Feng (2017) and Feng et al (2018a) presented results on only one material but testing was conducted over a wide range gradations. This paper aims to investigate the relative merits for the aforementioned models using a larger database of experimental observations.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

Feng

Vardanega

Ibraim

2018

Contemporary Issues in Soil Mechanics

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The hydraulic conductivity characteristics of the materials which comprise pavement structures are linked to in service performance. This paper briefly reviews a series of well-known models to predict hydraulic conductivity. An approach which makes use of the grading entropy coordinates is also studied. The database includes information on the gradation, hydraulic conductivity and porosity characteristics for over 150 gravel mixtures. Comparison of the studied models reveals that the 'Kozeny-Carman' model gives the best predictions when considering the entire database. The results of the regression analysis reveal that for granular mixtures comprising greater than 50% sand, the 'Shepherd' or 'Hazen' approaches may be preferred. However, for mixtures comprising less than with 50% sand, the 'Kozeny-Carman' and 'grading entropy' approaches are preferred.

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“…Zhai et al (2018) adopted the "pore-size distribution function" method which gave good prediction for ksat of sandy matierials. Feng et al (2019aFeng et al ( , 2019b show that the entire particle size distribution (PSD) curve can be used along with the Grading Entropy concept (e.g., Lörincz, 2005) to compute the normalized entropy co-ordinates which have also been demonstrated to predict ksat reasonably well for gravel and sands. Both the 'Hazen' and 'Kozeny-Carman' approaches require calibration and therefore 'transformation models' (regression models) (cf.…”

Section: Saturated Hydraulic Conductivitymentioning

confidence: 99%

A database of saturated hydraulic conductivity of fine-grained soils: probability density functions

Feng

Vardanega

2019

Georisk: Assessment and Management of Risk for Engineered Syste

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Saturated hydraulic conductivity is a key soil mechanics parameter which has widespread use in many geotechnical applications. In order to set up stochastic analyses, geotechnical modellers require databases to calibrate the parameter ranges and distributions employed. This paper uses a recently compiled database of saturated hydraulic conductivity measurements called FG/KSAT-1358 and reports on the fitting of various probability density functions to the data of void ratio, liquid limit, water content ratio and negative natural logarithm of ksat. It is shown that the best fit distribution is the lognormal for void ratio, while the loglogistic distribution is most favoured for liquid limit and water content ratio, and the best fit distribution for-ln[ksat(m/s)] is the logistic function. The data of-ln[ksat(m/s)] is then subdivided according to liquid limit level, silt or clay classification, type of hydraulic conductivity test used and sample preparation/condition. When some subdivisions of the database are analysed, the best fit distribution is more variable with GEV and logistic being the most favoured for most of the studied subsets.

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Permeability assessment of some granular mixtures

Cited by 7 publications

References 9 publications

Permeability of Uniformly Graded 3D Printed Granular Media

Permeability of Uniformly Graded 3D Printed Granular Media

Comparison of Prediction Models for the Permeability of Granular Materials Using a Database

A database of saturated hydraulic conductivity of fine-grained soils: probability density functions

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