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Parallel load-balancing for combustion with spray for large-scale simulation

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journal contribution
posted on 2021-02-16, 10:08 authored by Ali Thari, Nicholas Treleaven, Max Staufer, Gary PageGary Page
An asynchronous task-based Eulerian-Lagrangian approach for ecient parallel multi-physics simulations that can scale for arbitrary large number of particles and non-uniformly distributed particles is presented. The parallel methodology is based on a task-based partitioning of the multi-physics problem, where each single-physics problem is considered as a task and carried out using its own set of processes. This allows the two problems to solve their governing equations concurrently; therefore, hiding the computational cost incurred of solving an additional physical solver. Applications to complex breakup mechanism leading to highly dynamic computational loading and three-dimensional swirl combustion chamber with reacting flow/spray with extremely uneven particle distribution demonstrate the improved parallel efficiency and great potential of the presented approach.

Funding

Rolls-Royce

EPSRC Centre for Doctoral Training in Gas Turbine Aerodynamics

Engineering and Physical Sciences Research Council

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History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of Computational Physics

Volume

434

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Journal of Computational Physics and the definitive published version is available at https://doi.org/10.1016/j.jcp.2021.110187

Acceptance date

2021-02-11

Publication date

2021-02-19

Copyright date

2021

ISSN

0021-9991

Language

  • en

Depositor

Prof Gary Page. Deposit date: 15 February 2021

Article number

110187

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