TY - JOUR
T1 - Hybrid Large Eddy Simulation for low-order Discontinuous Galerkin methods using an explicit filter
AU - Creech, A. C. W.
AU - Jackson, A.
N1 - Funding Information:
We would like to thank Dr. James Maddison, School of Mathematics, University of Edinburgh for his insightful comments. This work used the ARCHER UK National Supercomputing Service. We would like to acknowledge the ARCHER eCSE programme, United Kingdom for funding this work, award number eCSE05-7. We also acknowledge funding from Intel's Parallel Computing Centre programme, through EPCC's IPCC, United Kingdom.
Funding Information:
We would like to thank Dr. James Maddison, School of Mathematics, University of Edinburgh for his insightful comments. This work used the ARCHER UK National Supercomputing Service. We would like to acknowledge the ARCHER eCSE programme, United Kingdom for funding this work, award number eCSE05-7 . We also acknowledge funding from Intel’s Parallel Computing Centre programme, through EPCC’s IPCC, United Kingdom .
Publisher Copyright:
© 2020
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - In this paper we present a simple, easily implemented and effective approach for explicitly-filtered Large Eddy Simulation with a Discontinuous Galerkin (DG) discretisation for velocity. DG formulations are often desirable due to their stability and increased accuracy, however this can come at greater computational expense due to the additional degrees of freedom in the velocity field. Additionally, data output can also be an issue, due to the increased storage requirements. Here we present a hybrid approach, based upon the construction of an approximation of the velocity shear tensor using information from a projected Continuous Galerkin (CG) version of the discontinuous velocity field. The resulting turbulence algorithm is implemented within Fluidity, an open-source computational fluid dynamics solver. The model is then validated with a well known test case, and shown to agree favourably with published results. Comparisons are also made between the CG/DG hybrid LES with DG-only LES, which demonstrate the superior computational performance of the hybrid model.
AB - In this paper we present a simple, easily implemented and effective approach for explicitly-filtered Large Eddy Simulation with a Discontinuous Galerkin (DG) discretisation for velocity. DG formulations are often desirable due to their stability and increased accuracy, however this can come at greater computational expense due to the additional degrees of freedom in the velocity field. Additionally, data output can also be an issue, due to the increased storage requirements. Here we present a hybrid approach, based upon the construction of an approximation of the velocity shear tensor using information from a projected Continuous Galerkin (CG) version of the discontinuous velocity field. The resulting turbulence algorithm is implemented within Fluidity, an open-source computational fluid dynamics solver. The model is then validated with a well known test case, and shown to agree favourably with published results. Comparisons are also made between the CG/DG hybrid LES with DG-only LES, which demonstrate the superior computational performance of the hybrid model.
KW - Discontinuous Galerkin
KW - Large Eddy Simulation
KW - Turbulence
UR - http://www.scopus.com/inward/record.url?scp=85097349831&partnerID=8YFLogxK
U2 - 10.1016/j.cpc.2020.107730
DO - 10.1016/j.cpc.2020.107730
M3 - Article
AN - SCOPUS:85097349831
SN - 0010-4655
VL - 260
JO - Computer Physics Communications
JF - Computer Physics Communications
M1 - 107730
ER -