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

An asynchronous task-based Eulerian-Lagrangian approach for efficient parallel multiphysics simulations that can scale for arbitrary large number of particles and non 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. (C) 2021 Elsevier Inc. All rights reserved.