Analyzing slow drying in a porous medium placed adjacent to laminar airflow using a pore-network model

2016 ◽  
Vol 70 (11) ◽  
pp. 1213-1231 ◽  
Author(s):  
Zhenyu Xu ◽  
Krishna M. Pillai
Keyword(s):  
Porous Medium ◽  
Network Model ◽  
Pore Network ◽  
Pore Network Model

Permeability of cementitious materials using a multiscale pore network model

2021 ◽  
Vol 312 ◽  
pp. 125298
Author(s):  
Saeid Babaei ◽  
Suresh C. Seetharam ◽  
Arnaud Dizier ◽  
Gunther Steenackers ◽  
Bart Craeye
Keyword(s):  
Network Model ◽  
Pore Network ◽  
Cementitious Materials ◽  
Pore Network Model

The Pore-network Modelling of the Infiltration Experiments Performed on Unsaturated Coarse Sands

2021 ◽  
Author(s):  
Tomáš Princ ◽  
Michal Snehota
Keyword(s):  
Hydraulic Conductivity ◽  
Network Model ◽  
Pore Network ◽  
Pore Network Model ◽  
Air Bubbles ◽  
Network Modelling ◽  
Air Content ◽  
Pore Network Modelling ◽  
X Ray Computed ◽  
Entrapped Air

<p>The research focused on the simulation of the previous experiment described by Princ et al. (2020). The relationship between entrapped air content (<em>ω</em>) and the corresponding satiated hydraulic conductivity (<em>K</em>) was investigated for two coarse sands, in the experiment. Additionally the amount and distribution of air bubbles were quantified by X-ray computed tomography.</p><p>The pore-network model based on OpenPNM platform (Gostick et al. 2016) was used to attempt simulation of a redistribution of the air bubbles after infiltration. Satiated hydraulic conductivity was determined to obtain the <em>K</em>(<em>ω</em>) relationship. The results from pore-network model were compared with the results from experiments.</p><p>Gostick et al. (2016). Computing in Science & Engineering. 18(4), p60-74.</p><p>Princ et al. (2020). Water. 12(2), p1-19.</p>

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