Computing differential operators of the particle velocity in moving particle clouds using tessellations
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Publication:6147013
DOI10.1016/j.jcp.2023.112658arXiv2212.03580OpenAlexW4388924477MaRDI QIDQ6147013
Kai Schneider, Thibault Maurel-Oujia, Keigo Matsuda
Publication date: 31 January 2024
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2212.03580
Voronoi tessellationsemi-Lagrangianfirst order convergencecurl and velocity gradientdivergence of particle velocitypoint particle clouds
Cites Work
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- Grid-free adaptive semi-Lagrangian advection using radial basis functions
- Computational Methods for Fluid Dynamics
- On the relationship between the non-local clustering mechanism and preferential concentration
- Connection between two statistical approaches for the modelling of particle velocity and concentration distributions in turbulent flow: The mesoscopic Eulerian formalism and the two-point probability density function method
- Intermittency in the velocity distribution of heavy particles in turbulence
- The quickhull algorithm for convex hulls
- P<scp>ARTICLE</scp>-T<scp>URBULENCE</scp> I<scp>NTERACTIONS IN</scp> A<scp>TMOSPHERIC</scp> C<scp>LOUDS</scp>
- The gravitational settling of aerosol particles in homogeneous turbulence and random flow fields
- Particle-Laden Turbulence: Progress and Perspectives
- Divergence and convergence of inertial particles in high-Reynolds-number turbulence
- Direct Numerical Simulation of Turbulent Flows Laden with Droplets or Bubbles
- Finite-difference Approximation of Mathematical Physics Problems on Irregular Grids
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