2010
DOI: 10.1016/j.jhydrol.2010.09.004
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A finite-element algorithm for modeling variably saturated flows

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Cited by 22 publications
(18 citation statements)
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“…An adjustment procedure needs to be used during the iterative solution so that zero pressure is kept inside the seepage face and negative pressures are maintained outside the seepage face, the flux flowing out of the face [12]. During the iteration, the nodes at the boundary (suspended to be a seepage face) with a positive pressure should be altered as Dirichlet nodes with a zero pressure value, the prescribed seepage face nodes with a negative flux need to be identified and treated as nodes outside the seepage face in the next iterative solution of the finite element equations [15,27]. The flux of a node can be evaluated by…”
Section: Procedures For Seepage Face Iterationmentioning
confidence: 99%
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“…An adjustment procedure needs to be used during the iterative solution so that zero pressure is kept inside the seepage face and negative pressures are maintained outside the seepage face, the flux flowing out of the face [12]. During the iteration, the nodes at the boundary (suspended to be a seepage face) with a positive pressure should be altered as Dirichlet nodes with a zero pressure value, the prescribed seepage face nodes with a negative flux need to be identified and treated as nodes outside the seepage face in the next iterative solution of the finite element equations [15,27]. The flux of a node can be evaluated by…”
Section: Procedures For Seepage Face Iterationmentioning
confidence: 99%
“…where Q I is the flux at node I, z is the elevation above a reference datum, K IJ is the seepage coefficient tensor assemblage of all the elements [15] shown in eq. (6).…”
Section: Procedures For Seepage Face Iterationmentioning
confidence: 99%
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“…Although it has long been studied, seeking numerical solutions to unsaturated flow problems remains a challenging issue, due mainly to the strong nonlinearity of the constitutive relationships (i.e., the water retention curve and the conductivity function) and the boundary conditions. Great efforts have been made to overcome the numerical difficulties induced by the nonlinearity of the water retention properties of soils, with a focus on the improvement of the numerical accuracy and stability (e.g., [3,8,17,18,20,23,26,28,31,33,35,36]). The boundary conditions on the outflow seepage surfaces and soil-atmosphere interfaces are another source of nonlinearity involved in the numerical modeling of groundwater flow, and these conditions are commonly present on the surfaces of wells, drains, lakes, rivers, wetland or ground surface where rainfall/evaporation occurs.…”
Section: Introductionmentioning
confidence: 99%
“…For the case of saturated-unsaturated flow, we mention the contributions of Forsyth et al (1995), Pan and Wierenga (1995), Diersch and Perrochet (1999), Berganaschi and Putti (1999), Wiliams et al (2000), Lima-Vivancos and Voller (2004), Bause and Knabner (2004), Hao et al (2005), Marinoschi (2005), Basombrio et al (2006), McBride et al (2006), Pei et al (2006), Kees et al (2008), Bevilacqua et al (2009), Casulli and Zanolli (2010), Radu et al (2010), and Wu (2010). For 2D and 3D problems, the standard numerical approach consists of: -space discretization by finite volume, finite element (Galerkin), mixed finite element, finite differences; -method of lines for time discretization; -solution of the discrete nonlinear problems using Newton/Picard method; -solution of the linear problems by iterative linear solvers (preconditioned conjugated gradient, preconditioned Krylov subspace methods, algebraic multigrid, and so on).…”
mentioning
confidence: 99%