2003
DOI: 10.1080/10407780307349
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COMPUTATION OF TURBULENT FLOW IN POROUS MEDIA USING a LOW-REYNOLDS K -Ε MODELAND AN INFINITE ARRAY OF TRANSVERSALLY DISPLACED ELLIPTIC RODS

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Cited by 74 publications
(45 citation statements)
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“…However, both sets of macroscopic mass transport equations are equivalent when examined under the recently established double decomposition concept [17][18][19][20][21][22]. As mentioned above, the double decomposition concept has been published in a number of widely available journal articles [17][18][19][20][21][22][23][24], book chapters [50][51][52][53] and a book [39]. For the sake of completeness, a brief overview is presented here and additional details can be found in the literature cited.…”
Section: Decomposition Of Flow Variables In Space and Timementioning
confidence: 99%
See 3 more Smart Citations
“…However, both sets of macroscopic mass transport equations are equivalent when examined under the recently established double decomposition concept [17][18][19][20][21][22]. As mentioned above, the double decomposition concept has been published in a number of widely available journal articles [17][18][19][20][21][22][23][24], book chapters [50][51][52][53] and a book [39]. For the sake of completeness, a brief overview is presented here and additional details can be found in the literature cited.…”
Section: Decomposition Of Flow Variables In Space and Timementioning
confidence: 99%
“…Also, the left superscript i represents spatial deviation. The double decomposition idea introduced and fully described elsewhere [17][18][19][20][21][22], combines Eqs. (1.15) and (1.16) and can be summarized as…”
Section: Decomposition Of Flow Variables In Space and Timementioning
confidence: 99%
See 2 more Smart Citations
“…For the mathematical description of the laminar flow in the porous media the extended form of the Brinkman-Forchheimer-Darcy model is used. In Cartesian-tensor notation the transport equations for the porous filter are as follows (Pedras and de Lemos, 2000, 2001a, 2001b, 2003:…”
Section: Modeling Of Porous Filtermentioning
confidence: 99%