USING THE PARTICLE LEVEL SET METHOD AND A SECOND ORDER ACCURATE PRESSURE BOUNDARY CONDITION FOR FREE SURFACE FLOWS

By Douglas Enright, Duc Quang Nguyen, Frédéric Gibou, Ronald Fedkiw. 2003

129 citations recorded by the source corpus.

Subfields: Computational Mechanics, Surfaces, Coatings and Films

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ronald Fedkiw
2. Nils Thürey
3. Frank Losasso
4. Andrew Selle
5. Stanley J. Osher
6. Yongning Zhu
7. Robert Bridson
8. Douglas Enright

In Surfaces, Coatings and Films

1. Frank Losasso
2. Nils Thürey
3. Ronald Fedkiw
4. Robert Bridson
5. Yongning Zhu
6. Andrew Selle

Citations in the corpus

• Spatially adaptive techniques for level set methods and incompressible flow (2006, methodology): “Further extensions include the incorporation of surface tension effects in [30].”
• Animating sand as a fluid (2005, methodology): “This would allow us to easily implement a second-order accurate free surface boundary condition[Enright et al. 2003] which significantly reduces grid artifacts.”
• Blending liquids (2014, methodology): “A popular class of surface tracking algorithms is based on level-sets [Os-her and Fedkiw 2002], and particle level-sets [Enright et al. 2003].”
• An Unconditionally Stable MacCormack Method (2008, methodology): “We use the basic free surface model described in [7] with the improved second order accurate free surface pressure boundary condition proposed in [8] and the improved fast marching method from [15].”
• Coupling water and smoke to thin deformable and rigid shells (2005, methodology): “Additional work includes the modeling of surface tension [Enright et al. 2003; Hong and Kim 2003; Cohen and Molemaker 2004; Losasso et al. 2004], viscoelastic (cid:3)uids [Gok-tekin et al. 2004], control [McNamara et al. 2004; Mihalef et al. 2004], and octree data structures [Losasso et al. 2004].”
• Generating Liquid Simulations with Deformation-aware Neural Networks (2017, methodology): “ons, e.g. to represent highly detailed surfaces with meshes [Chentanez et al. 2015] or to represent detailed cut surfaces [Manteaux et al. 2015]. We employ a typical NS solver from the graphics area [Enright et al. 2003; Stam 1999], using ghost-fluid boundaries [Enright et al. 2003], and the FLuid-I”
• A fast and accurate semi-Lagrangian particle level set method (2005, methodology): “As an example of the flexibility of the particle level set method, its use in modeling complex three dimensional water surfaces can be seen in [6] [7].”