Investigation on preferential path of fluid flow by using topological network model of permeable asphalt mixture

2020 ◽  
Vol 242 ◽  
pp. 118163 ◽  
Author(s):  
Anxin Meng ◽  
Yiqiu Tan ◽  
Chao Xing ◽  
Huijie Lv ◽  
Shenqing Xiao
Keyword(s):  
Fluid Flow ◽  
Network Model ◽  
Asphalt Mixture ◽  
Topological Network

scholarly journals Ability of a pore network model to predict fluid flow and drag in saturated granular materials

2019 ◽  
Vol 110 ◽  
pp. 344-366 ◽  
Author(s):  
Adnan Sufian ◽  
Christopher Knight ◽  
Catherine O’Sullivan ◽  
Berend van Wachem ◽  
Daniele Dini
Keyword(s):  
Fluid Flow ◽  
Granular Materials ◽  
Network Model ◽  
Pore Network ◽  
Pore Network Model

scholarly journals Prediction of preferential fluid flow in porous structures based on topological network models: Algorithm and experimental validation

2018 ◽  
Vol 61 (8) ◽  
pp. 1217-1227 ◽  
Author(s):  
Yang Ju ◽  
Peng Liu ◽  
DongShuang Zhang ◽  
JiaBin Dong ◽  
P. G. Ranjith ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Experimental Validation ◽  
Network Models ◽  
Porous Structures ◽  
Topological Network

Fluid Flow Resistance in a Simple Cubic Packed Bed

2005 ◽  
Author(s):  
C. C.-C. Choi ◽  
S. H.-K. Lee
Keyword(s):  
Reynolds Number ◽  
Fluid Flow ◽  
Network Model ◽  
Flow Resistance ◽  
Flow Behavior ◽  
Packed Bed ◽  
Correlation Factor ◽  
Creeping Flow ◽  
Void Space ◽  
Simple Cubic

Motivated by its frequent appearance in practical applications, scientists and engineers have been putting much efforts to pursue the ability to predict fluid flow behavior in sphere packed bed, in particular the fluid-solid interaction therein. The network model has recently been used to predict the fluid flow behavior in a sphere packed bed for a smaller length-scale domain of interest. The major questions for this approach are the representation of the irregular void space as a three dimensional network and the assignment of the flow resistance values. The application of Deluanay Cell to discretize the void space helps retain the geometrical and topological information without any empirical data fitting in. However, the calculation of the flow resistance within the Delaunay cell is still a question to be solved due to its highly irregular topology. The objective of this study is to solve for the flow resistance between the pores in a simple cubic retaining all the geometrical information. And then to correlate the flow resistance with different values of Reynolds number such that the application of network model could extend outside the creeping flow regime. The results has been validated against experimental correlation and then correlated with Reynolds number with a correlation factor larger than 0.9.

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