2006
DOI: 10.1103/physreve.73.036305
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Geodesic network method for flows between two rough surfaces in contact

Abstract: A discrete network method based on previous asymptotic analysis for computing fluid flows between confined rough surfaces is proposed. This random heterogeneous geodesic network method could be either applied to surfaces described by a continuous random field or finely discretized on a regular grid. This method tackles the difficult problem of fluid transport between rough surfaces in close contact. We describe the principle of the method as well as detail its numerical implementation and performances. Macrosc… Show more

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Cited by 8 publications
(11 citation statements)
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“…This relationship is the cornerstone of a discrete network method to compute the pressure distribution inside very complex networks since the continuous mechanical equations have been integrated analytically within an asymptotic formulation to obtain this discrete version as in Plouraboué et al (2006). It is important to realize that this relationship also ignores Stokes pressure drop contributions coming from the complex flow in the vicinity of each bifurcation.…”
Section: Lubrication Approximationmentioning
confidence: 98%
“…This relationship is the cornerstone of a discrete network method to compute the pressure distribution inside very complex networks since the continuous mechanical equations have been integrated analytically within an asymptotic formulation to obtain this discrete version as in Plouraboué et al (2006). It is important to realize that this relationship also ignores Stokes pressure drop contributions coming from the complex flow in the vicinity of each bifurcation.…”
Section: Lubrication Approximationmentioning
confidence: 98%
“…Furthermore, this study presents the first direct comparison between local IP rules obtained on saddle-points, and experimental observations in a similar numerically generated random fracture. Finally, as indicated previously, the present paper can be considered as a follow-up of the paper by Plouraboué et al (2006), which was devoted to the computation of single-phase flow in similar systems as those considered here for the study of drainage. As we shall see, the capillary pressure threshold depends on the fluid/fluid in-plane curvature and is studied here through an asymptotic analysis.…”
Section: Introductionmentioning
confidence: 92%
“…Those simple criteria permit to identify the maxima and saddle-points. From these one can construct the network by determining the paths from maximum to maximum through the saddle-points as detailed by Plouraboué et al (2006). This network is interesting to consider for fluid transport because, most of the viscous pressure drop between two adjacent maxima is located in saddle-points.…”
Section: Bond Network Of Critical Pointsmentioning
confidence: 99%
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“…The method used for generating a two-dimensional short-range correlated Gaussian random field h(x, y) is the same as the one described in Plouraboué et al (2006). We focus on the impact of permeability disorder.…”
Section: Heterogeneities Generationmentioning
confidence: 99%