GPU-accelerated high-order scale-resolving simulations using the flux reconstruction approach
File(s)
Author(s)
Ntemos, George
Type
Thesis
Abstract
High-order methods in Computational Fluid Dynamics (CFD) offer a potential
route towards the resolution of hitherto intractable fluid-dynamics problems in
industry. The Flux Reconstruction (FR) approach provides a unifying framework
for a number of popular high-order methods such as the Discontinuous Galerkin
(DG). Its suitability for use on unstructured grids along with its ability to facilitate
massively parallelised implementation on architectures such as GPUs provide a
means to tackle computationally challenging flows around complex geometries. Such
a flow can be found in the rod-aerofoil tandem configuration: Complex, unsteady
flow structures generated by and interacting with more than a single solid body are
central to a number of applications in the aerospace industry.
The current thesis attempts to demonstrate the suitability of the FR approach
in successfully simulating the flow around a rod-aerofoil configuration. The in-house
CFD solver employed in the research is presented and the FR implementation
analysed. Computational grid resolution issues arising from the rod-aerofoil problem
are studied and a novel strategy for the stabilisation of the computation is implemented
in the form of local entropy stability. The results obtained are analysed and conclusions
are drawn on the utility of the FR approach in the absence of a sub-grid scale model
(Implicit LES - under-resolved DNS).
The present work confirms the utility of local entropy stability for the stabilisation
of the rod-aerofoil simulation of aerofoil-chord based Reynolds number of Re=480, 000. It will also demonstrate that the under-resolved DNS setup that resulted
in a computational cost of approximately six hours for a single flow pass over
the aerofoil chord on 200 Nvidia P100 GPUs resulted in moderate success for a
significant portion of the flow dynamics, which not adequately predicted when
compared with experiment. The latter led to a series of useful conclusions. The core of the conclusions involved the apparent over-prediction of time-averaged velocity
and momentum deficits across wakes and as well as over-prediction of turbulent
intensities. An identification of the problematic areas is therefore given and potential
alleviation techniques outlined.
route towards the resolution of hitherto intractable fluid-dynamics problems in
industry. The Flux Reconstruction (FR) approach provides a unifying framework
for a number of popular high-order methods such as the Discontinuous Galerkin
(DG). Its suitability for use on unstructured grids along with its ability to facilitate
massively parallelised implementation on architectures such as GPUs provide a
means to tackle computationally challenging flows around complex geometries. Such
a flow can be found in the rod-aerofoil tandem configuration: Complex, unsteady
flow structures generated by and interacting with more than a single solid body are
central to a number of applications in the aerospace industry.
The current thesis attempts to demonstrate the suitability of the FR approach
in successfully simulating the flow around a rod-aerofoil configuration. The in-house
CFD solver employed in the research is presented and the FR implementation
analysed. Computational grid resolution issues arising from the rod-aerofoil problem
are studied and a novel strategy for the stabilisation of the computation is implemented
in the form of local entropy stability. The results obtained are analysed and conclusions
are drawn on the utility of the FR approach in the absence of a sub-grid scale model
(Implicit LES - under-resolved DNS).
The present work confirms the utility of local entropy stability for the stabilisation
of the rod-aerofoil simulation of aerofoil-chord based Reynolds number of Re=480, 000. It will also demonstrate that the under-resolved DNS setup that resulted
in a computational cost of approximately six hours for a single flow pass over
the aerofoil chord on 200 Nvidia P100 GPUs resulted in moderate success for a
significant portion of the flow dynamics, which not adequately predicted when
compared with experiment. The latter led to a series of useful conclusions. The core of the conclusions involved the apparent over-prediction of time-averaged velocity
and momentum deficits across wakes and as well as over-prediction of turbulent
intensities. An identification of the problematic areas is therefore given and potential
alleviation techniques outlined.
Version
Open Access
Date Issued
2017-10
Date Awarded
2018-04
Copyright Statement
Attribution NoDerivatives 4.0 International Licence (CC BY-ND)
Advisor
Vincent, Peter
Leschziner, Michael
Sponsor
Engineering and Physical Sciences Research Council
Publisher Department
Aeronautics
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)