2019
DOI: 10.1051/e3sconf/20199705016
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Numerical solution of filtration in porous rock

Abstract: The filtration problem is one of the most relevant in the design of retaining hydraulic structures, water supply channels, drainage systems, in the drainage of the soil foundation, etc. Construction of transport tunnels and underground structures requires careful study of the soil properties and special work to prevent dangerous geological processes. The model of particle transport in the porous rock, which is based on the mechanical-geometric interaction of particles with a porous medium, is considered in the… Show more

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Cited by 13 publications
(4 citation statements)
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“…In the domain ͞ Ω 1 , the solution to problem (1)-( 4) coincides with the solution to the Goursat problem (1)-( 3), (5). In characteristic variables τ = t -x/v, y = x, the Goursat problem takes the form numerical and analytical methods are used [11][12][13][14][15][16]. Analytical methods allow to obtain exact and asymptotic solutions and their dependence on parameters.…”
Section: Consider the Condition On The Concentrations Frontmentioning
confidence: 99%
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“…In the domain ͞ Ω 1 , the solution to problem (1)-( 4) coincides with the solution to the Goursat problem (1)-( 3), (5). In characteristic variables τ = t -x/v, y = x, the Goursat problem takes the form numerical and analytical methods are used [11][12][13][14][15][16]. Analytical methods allow to obtain exact and asymptotic solutions and their dependence on parameters.…”
Section: Consider the Condition On The Concentrations Frontmentioning
confidence: 99%
“…Conditions ( 3) and (5) take the form numerical and analytical methods are used [11][12][13][14][15][16]. Analytical methods allow to obtain exact and asymptotic solutions and their dependence on parameters.…”
Section: Mathematical Modelmentioning
confidence: 99%
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“…Therefore, we restrict ourselves to deriving formulas for calculating the functional derivatives from dJ 2 according to required parameters. In obtaining expressions for the functional derivatives, use the technique given in [18][19][20][21][22][23][24].…”
Section: Derivation Of Expressions For Functional Derivativesmentioning
confidence: 99%