Computer simulation of liquids
Computer simulation of liquids
Computational techniques for fluid dynamics
Computational techniques for fluid dynamics
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Journal of Computational Physics
Journal of Computational Physics
Journal of Computational Physics
A second-order method for three-dimensional particle simulation
Journal of Computational Physics
An immersed interface method for simulating the interaction of a fluid with moving boundaries
Journal of Computational Physics
A hybrid approach for simulating turbulent collisions of hydrodynamically-interacting particles
Journal of Computational Physics
An explicit finite difference scheme with spectral boundary conditions for particulate flows
Journal of Computational Physics
Modelling microscale flow and colloid transport in saturated porous media
International Journal of Computational Fluid Dynamics - Mesoscopic Methods And Their Applications To CFD
Simulating the dynamics of fluid-ellipsoid interactions
Computers and Structures
A full Eulerian finite difference approach for solving fluid-structure coupling problems
Journal of Computational Physics
Journal of Computational Physics
Journal of Computational Physics
Lattice Boltzmann simulation of turbulent flow laden with finite-size particles
Computers & Mathematics with Applications
Journal of Computational Physics
A Lagrangian VOF tensorial penalty method for the DNS of resolved particle-laden flows
Journal of Computational Physics
Computers & Mathematics with Applications
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This paper presents a new approach to the direct numerical simulation of particle flows. The basic idea is to use a local analytic representation valid near the particle to "transfer" the no-slip condition from the particle surface to the adjacent grid nodes. In this way the geometric complexity arising from the irregular relation between the particle boundary and the underlying mesh is avoided and fast solvers can be used. The results suggest that the computational effort increases very slowly with the number of particles so that the method is efficient for large-scale simulations. The focus here is on the two-dimensional case (cylindrical particles), but the same procedure, to be developed in forthcoming papers, applies to three dimensions (spherical particles). Several extensions are briefly discussed.