Multi-rate time integration on overset meshes

C Mikida, A Klöckner, D Bodony - Journal of Computational Physics, 2019 - Elsevier
Journal of Computational Physics, 2019Elsevier
Overset meshes are an effective tool for the computational fluid dynamic simulation of
problems with complex geometries or multiscale spatio-temporal features. When the
maximum allowable timestep on one or more meshes is significantly smaller than on the
remaining meshes, standard explicit time integrators impose inefficiencies for time-accurate
calculations by requiring that all meshes advance with the smallest timestep. With the
targeted use of multi-rate time integrators, separate meshes can be time-marched at …
Abstract
Overset meshes are an effective tool for the computational fluid dynamic simulation of problems with complex geometries or multiscale spatio-temporal features. When the maximum allowable timestep on one or more meshes is significantly smaller than on the remaining meshes, standard explicit time integrators impose inefficiencies for time-accurate calculations by requiring that all meshes advance with the smallest timestep. With the targeted use of multi-rate time integrators, separate meshes can be time-marched at independent rates to avoid wasteful computation while maintaining accuracy and stability. This work applies time-explicit multi-rate integrators to the simulation of the compressible Navier-Stokes equations discretized on overset meshes using summation-by-parts (SBP) operators and simultaneous approximation term (SAT) boundary conditions. We introduce a class of multi-rate Adams-Bashforth (MRAB) schemes that offer significant stability improvements and computational efficiencies for SBP-SAT methods. We present numerical results that confirm the efficacy of MRAB integrators, outline a number of implementation challenges, and demonstrate a reduction in computational cost enabled by MRAB. We also investigate the use of our method in the setting of a large-scale distributed-memory parallel implementation where we discuss concerns involving load balancing and communication efficiency.
Elsevier
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