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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| Published in: | Computers & fluids Vol. 256; p. 105856 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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30.04.2023
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| ISSN: | 0045-7930, 1879-0747 |
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 105856 |
| Author | Guardone, Alberto Bellosta, Tommaso Baldan, Giacomo |
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| Cites_doi | 10.1016/j.softx.2020.100483 10.1109/5992.988653 10.2514/3.12149 10.1016/j.compfluid.2017.02.004 10.2514/6.2022-3398 10.1016/j.jpdc.2003.11.010 10.1177/1468087419854235 10.1145/293347.293348 10.1016/j.compfluid.2017.10.015 10.1016/j.cam.2023.115230 10.1006/jpdc.1997.1404 10.1155/2013/850148 10.1098/rsta.2000.0689 10.2514/2.2541 10.1142/S0217984909018679 10.1016/j.cpc.2020.107229 10.1007/s11831-017-9227-2 10.1007/3-540-44520-X_39 10.1146/annurev.fluid.35.101101.161217 10.1145/355744.355745 10.3390/en15218145 10.1016/j.ijmultiphaseflow.2020.103293 10.1016/j.parco.2007.12.001 |
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| Keywords | Distributed memory Parallel computing Mesh partitioning High performance computing Computational fluid dynamics Particle tracking |
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