2020
DOI: 10.1016/j.advwatres.2020.103674
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A benchmark study of the multiscale and homogenization methods for fully implicit multiphase flow simulations

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Cited by 14 publications
(9 citation statements)
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“…The flow problem for Eq. ( 1) with the parameterization (11)(12) is solved in two Scenarios: (1) homogeneous soil, with K sat = 2.77 • 10 −6 , θ res = 0.06, θ sat = 0.36, α = 10, q 0 = 2.77 • 10 −7 , q 1 = 2.50 • 10 −6 , which are representative for a sandy soil, and (2) non-homogeneous soil, with the same parameters as in Scenario (1), except the saturated hydraulic conductivity, which takes two constant values, K sat = 2.77 • 10 −6 for z < 1 and 500K sat for z ≥ 1 (modeling, for instance, a column filled with sand and gravel). To capture the transition from unsaturated to saturated regime, the pressure at the bottom boundary is fixed at ψ 0 = 0.5.…”
Section: Validation Of the One-dimensional Grw Flow Algorithmmentioning
confidence: 99%
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“…The flow problem for Eq. ( 1) with the parameterization (11)(12) is solved in two Scenarios: (1) homogeneous soil, with K sat = 2.77 • 10 −6 , θ res = 0.06, θ sat = 0.36, α = 10, q 0 = 2.77 • 10 −7 , q 1 = 2.50 • 10 −6 , which are representative for a sandy soil, and (2) non-homogeneous soil, with the same parameters as in Scenario (1), except the saturated hydraulic conductivity, which takes two constant values, K sat = 2.77 • 10 −6 for z < 1 and 500K sat for z ≥ 1 (modeling, for instance, a column filled with sand and gravel). To capture the transition from unsaturated to saturated regime, the pressure at the bottom boundary is fixed at ψ 0 = 0.5.…”
Section: Validation Of the One-dimensional Grw Flow Algorithmmentioning
confidence: 99%
“…The GRW computations are initialized by multiplying the initial condition by N = 10 24 particles. Since, as shown by (12), the hydraulic conductivity varies in time, the length of the time step determined by (5) for the maximum of K at every time iteration and by specifying a maximum r max = 0.8 of the parameter r i±1/2,k may vary in time (see Fig. 1).…”
Section: Validation Of the One-dimensional Grw Flow Algorithmmentioning
confidence: 99%
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“…We highlight that the MSFV and ADM use a section of the fine-scale feature to construct the macro-scale solution without estimations of the macro-scale parameters. A preliminary study in parallel of the two approaches based on ADM and on numerical homogenization is contained in [4].…”
Section: Introductionmentioning
confidence: 99%