caa a22 4500 475776984 CHVBK 20180406123633.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1011178417620 doi (NATIONALLICENCE)springer-10.1023/A:1011178417620 A Boundary Condition Capturing Method for Multiphase Incompressible Flow [Elektronische Daten] [Myungjoo Kang, Ronald Fedkiw, Xu-Dong Liu] In [6], the Ghost Fluid Method (GFM) was developed to capture the boundary conditions at a contact discontinuity in the inviscid compressible Euler equations. In [11], related techniques were used to develop a boundary condition capturing approach for the variable coefficient Poisson equation on domains with an embedded interface. In this paper, these new numerical techniques are extended to treat multiphase incompressible flow including the effects of viscosity, surface tension and gravity. While the most notable finite difference techniques for multiphase incompressible flow involve numerical smearing of the equations near the interface, see, e.g., [19,17,1], this new approach treats the interface in a sharp fashion. Plenum Publishing Corporation, 2000 incompressible flow nationallicence interfaces nationallicence two-phase flow nationallicence water & air mixtures nationallicence Poisson equation nationallicence Kang Myungjoo Department of Mathematics, University of California Los Angeles, 90095, Los Angeles, California aut Fedkiw Ronald Computer Science Department, Stanford University, 94305, Stanford, California aut Liu Xu-Dong Department of Mathematics, University of California Santa Barbara, 93106, Santa Barbara, California aut Journal of Scientific Computing Kluwer Academic Publishers-Plenum Publishers 15/3(2000-09-01), 323-360 0885-7474 15:3<323 2000 15 10915 https://doi.org/10.1023/A:1011178417620 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1011178417620 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kang Myungjoo Department of Mathematics, University of California Los Angeles, 90095, Los Angeles, California aut NATIONALLICENCE 700 1- Fedkiw Ronald Computer Science Department, Stanford University, 94305, Stanford, California aut NATIONALLICENCE 700 1- Liu Xu-Dong Department of Mathematics, University of California Santa Barbara, 93106, Santa Barbara, California aut NATIONALLICENCE 773 0- Journal of Scientific Computing Kluwer Academic Publishers-Plenum Publishers 15/3(2000-09-01), 323-360 0885-7474 15:3<323 2000 15 10915 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer