Efficient Lagrangian particle tracking algorithms for distributed-memory architectures

This paper focuses on the solution of the dispersed phase of Eulerian–Lagrangian one-way coupled particle laden flows. An efficient two-constraint domain partitioning for 2D and 3D unstructured hybrid meshes is proposed and implemented in distributed memory architectures. A preliminary simulation, u...

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Vydané v:Computers & fluids Ročník 256; s. 105856
Hlavní autori: Baldan, Giacomo, Bellosta, Tommaso, Guardone, Alberto
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 30.04.2023
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ISSN:0045-7930, 1879-0747
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Shrnutí:This paper focuses on the solution of the dispersed phase of Eulerian–Lagrangian one-way coupled particle laden flows. An efficient two-constraint domain partitioning for 2D and 3D unstructured hybrid meshes is proposed and implemented in distributed memory architectures. A preliminary simulation, using a set of representative particles, is performed first to suitably tag the cells with a weight proportional to the probability of being crossed by a particle. In addition, an innovative parallel ray-tracing location algorithm is presented. A global identifier is assigned to each particle resulting in a significant reduction of the overall communication among processes. The proposed approaches are verified against two steady reference cases for ice accretion simulation: a NACA 0012 profile and a NACA 64A008 swept horizontal tail. Furthermore, a cloud droplet impact test case starting from an unsteady flow around a 3D cylinder is performed to evaluate the code performances on unsteady problems. •Distributed memory algorithms for Lagrangian particle tracking in unstructured grids.•Particle location using a parallel ray-tracing algorithm.•Multi-constrained mesh partitioning for multi-physics problems.•Steady and unsteady in-flight ice accretion simulations.
ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2023.105856