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Lattice Boltzmann Method for Evaluating Hydraulic Conductivity of Finite Array of Spheres
Author(s) -
Mário A. Camargo,
Paulo Cesar Facin,
Luiz F. Pires
Publication year - 2012
Publication title -
the scientific world journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.453
H-Index - 93
eISSN - 2356-6140
pISSN - 1537-744X
DOI - 10.1100/2012/527618
Subject(s) - algorithm , lattice boltzmann methods , computer science , machine learning , artificial intelligence , thermodynamics , physics
The hydraulic conductivity ( K ) represents an important hydrophysical parameter in a porous media. K direct measurements, usually demand a lot of work, are expensive and time consuming. Factors such as the media spatial variability, sample size, measurement method, and changes in the sample throughout the experiment directly affect K evaluations. One alternative to K measurement is computer simulation using the Lattice Boltzmann method (LBM), which can help to minimize problems such as changes in the sample structure during experimental measurements. This work presents K experimental and theoretical results (simulated) for three regular finite arrangements of spheres. Experimental measurements were carried out aiming at corroborating the LBM potential to predict K once the smallest relative deviation between experimental and simulated results was 1.4%.

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