Control of the number of particles in fluid and MHD particle in cell methods

DOI10.1016/0010-4655(94)00180-AzbMath0923.76194MaRDI QIDQ1378172

Giovanni Lapenta, Jeremiah U. Brackbill

Publication date: 16 March 1998

Published in: Computer Physics Communications (Search for Journal in Brave)

zbMATH Keywords

contact discontinuitiescell-by-cell replacement algorithmgrid datapositivity of particle data

Mathematics Subject Classification ID

Ionized gas flow in electromagnetic fields; plasmic flow (76X05)

Related Items

Controlling the weights of simulation particles: adaptive particle management using \(k\)-d trees, Remeshed smoothed particle hydrodynamics for the simulation of laminar chemically reactive flows., Implicit dynamics in the material-point method, A PIC based procedure for the integration of multiple time scale problems in gas discharge physics, A new method for coalescing particles in PIC codes., Moment preserving constrained resampling with applications to particle-in-cell methods, An SPH projection method, Particle rezoning for multidimensional kinetic particle-in-cell simulations, Remeshed smoothed particle hydrodynamics for the simulation of viscous and heat conducting flows.

Cites Work

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• FLIP: A method for adaptively zoned, particle-in-cell calculations of fluid flows in two dimensions
• The stability and accuracy of EPIC algorithms
• Rezoning for higher order vortex methods
• Mass matrix formulation of the FLIP particle-in-cell method
• Dynamic and selective control of the number of particles in kinetic plasma simulations
• Why Particle Methods Work