2009
DOI: 10.1016/j.jcp.2008.10.015
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The MAST FV/FE scheme for the simulation of two-dimensional thermohaline processes in variable-density saturated porous media

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Cited by 8 publications
(7 citation statements)
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References 39 publications
(85 reference statements)
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“…The prediction step is solved applying the MArching in Space and Time (MAST) methodology, recently proposed for the solution of advection dominated problems [10,5], of the fully dynamic SW equations [6,8], as well as of transport problems in saturated porous media with variable density [7]. MAST peculiarity is to solve at each time step one computational cell after the others according to a given order, such that the mean entering flux is known before the cell solution.…”
Section: Introductionmentioning
confidence: 99%
“…The prediction step is solved applying the MArching in Space and Time (MAST) methodology, recently proposed for the solution of advection dominated problems [10,5], of the fully dynamic SW equations [6,8], as well as of transport problems in saturated porous media with variable density [7]. MAST peculiarity is to solve at each time step one computational cell after the others according to a given order, such that the mean entering flux is known before the cell solution.…”
Section: Introductionmentioning
confidence: 99%
“…In figure 10,j, for case 12 (ε = 0.75, ϕ = -π /4), the combined effects of the same direction of the rotation of the inner cylinder and of the buoyancy force on the left side of the same cylinder, as well as the anticlockwise rotation of the outer cylinder, lead to the maximum Nu out value around ϕ = 2π. During the TCS, due to the lack of nodes outside the domain, we do not compute any corrective thermal flux component orthogonal to those walls (see also [43] and cited references). As ICs we set zero pressure, temperature and velocity.…”
Section: Mixed Convection In Eccentric Annulimentioning
confidence: 99%
“…The CPU time relative to the convective step is almost independent on the mesh elements number, since this represents the ''explicit'' component of the method. The small decrement of the average CPU time of the convective component can be related to the increasing CFL numbers obtained by partitioning and to the best aptitude of the algorithm to work with CFL numbers greater than one [3][4][5][6]. The CPU time per single cell required for the solution of the diffusive linear system increases with the element number.…”
Section: Test 4 Computational Cost Investigationmentioning
confidence: 99%
“…The prediction step is solved applying the MArching in Space and Time (MAST) methodology, recently proposed for the solution of advection dominated problems [2,7], fully dynamic shallow waters equations [3,4], diffusive form of the shallow waters equations [6], as well as transport problems in saturated porous media with variable density [5]. The requirement for the application of the MAST methodology is the existence of an exact or approximated scalar potential for the flow field.…”
Section: Introductionmentioning
confidence: 99%