1996
DOI: 10.1137/s1064827593244213
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A Numerical Method for the Incompressible Navier-Stokes Equations Based on an Approximate Projection

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Cited by 176 publications
(226 citation statements)
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“…Our methods make use of level set methods for tracking the fluid interface boundaries, coupled to projection methods to solving the associated fluid flows. A large number of background references for projection methods and level set methods are given in [28]; here we briefly mention the original paper on projection methods for incompressible flow by Chorin [8], second-order Godunov-type improvements by Bell, Colella, and Glaz [4], the finite-element approximate projection by Almgren et al [2], and the extension of these techniques to quadrilateral grids (see, for example, Bell et al [6]) and to moving quadrilateral grids (see Trebotich and Colella[26]). On the interface tracking side, level set methods, introduced in Osher and Sethian [15], rely in part on the theory of curve and surface evolution given in Sethian [18,19] and on the link between front propagation and hyperbolic conservation laws discussed in Sethian [20]; these techniques recast interface motion as a time-dependent Eulerian initial value partial differential equation.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Our methods make use of level set methods for tracking the fluid interface boundaries, coupled to projection methods to solving the associated fluid flows. A large number of background references for projection methods and level set methods are given in [28]; here we briefly mention the original paper on projection methods for incompressible flow by Chorin [8], second-order Godunov-type improvements by Bell, Colella, and Glaz [4], the finite-element approximate projection by Almgren et al [2], and the extension of these techniques to quadrilateral grids (see, for example, Bell et al [6]) and to moving quadrilateral grids (see Trebotich and Colella[26]). On the interface tracking side, level set methods, introduced in Osher and Sethian [15], rely in part on the theory of curve and surface evolution given in Sethian [18,19] and on the link between front propagation and hyperbolic conservation laws discussed in Sethian [20]; these techniques recast interface motion as a time-dependent Eulerian initial value partial differential equation.…”
Section: Introductionmentioning
confidence: 99%
“…For a general introduction and overview, see Sethian [21]. For details about projection methods and their coupling to level set methods, see Almgren et al [2,3], Bell et al [4], Bell and Marcus [5], Chang et al [7], Chorin [8], Puckett et al [16], Sussman and Smereka [24], Sussman et al [23,25], and Zhu and Sethian [30]. On the viscoelastic side, in recent years there has been considerable interest in projection-type schemes for viscoelastic flow, see, for example, Trebotich et.…”
Section: Introductionmentioning
confidence: 99%
“…The method used to update the velocity and pressure is a variable density extension of the approximate projection method described by Almgren et al [3]. A projection method is a fractional step scheme in which a discretization of (2) is first used to approximate the velocity at the new time, then an elliptic equation for pressure, which results from taking the divergence of (2), is used to impose the divergence constraint on the new velocity and to update the pressure.…”
Section: Projection Methodologymentioning
confidence: 99%
“…The resulting approximate projection satisfies the divergence constraint to second-order accuracy and the overall algorithm is stable. The reader is referred to Almgren et al [3] for a detailed discussion of this approximate projection. In three dimensions, instead of using the 27-point analog to the nine-point stencil presented here, we use a seven-point stencil as discussed in [2].…”
Section: Discretization Of the Projectionmentioning
confidence: 99%
“…The Crank-Nicholson scheme is used to compute diffusion terms. A divergence constraint is satisfied using the approximate pressure projection method of Almgren et al (1996). The density is computed as…”
Section: The Numerical Algorithmmentioning
confidence: 99%