Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Witherden, Freddie"'
Autor:
Witherden, Freddie D., Vincent, Peter E., Trojak, Will, Abe, Yoshiaki, Akbarzadeh, Amir, Akkurt, Semih, Alhawwary, Mohammad, Caros, Lidia, Dzanic, Tarik, Giangaspero, Giorgio, Iyer, Arvind S., Jameson, Antony, Koch, Marius, Loppi, Niki, Mishra, Sambit, Modi, Rishit, Sáez-Mischlich, Gonzalo, Park, Jin Seok, Vermeire, Brian C., Wang, Lai
PyFR is an open-source cross-platform computational fluid dynamics framework based on the high-order Flux Reconstruction approach, specifically designed for undertaking high-accuracy scale-resolving simulations in the vicinity of complex engineering
Externí odkaz:
http://arxiv.org/abs/2408.16509
In this article, cache blocking is implemented for the Navier Stokes equations with anti-aliasing support on mixed grids in PyFR for CPUs. In particular, cache blocking is used as an alternative to kernel fusion to eliminate unnecessary data movement
Externí odkaz:
http://arxiv.org/abs/2401.06132
The influence and validity of wall boundary conditions for non-equilibrium fluid flows described by the Boltzmann equation remains an open problem. The substantial computational cost of directly solving the Boltzmann equation has limited the extent o
Externí odkaz:
http://arxiv.org/abs/2308.00700
In this paper, we develop the first entirely graphic processing unit (GPU) based h-adaptive flux reconstruction (FR) method with linear trees. The adaptive solver fully operates on the GPU hardware, using a linear quadtree for two dimensional (2D) pr
Externí odkaz:
http://arxiv.org/abs/2306.06744
For large Reynolds number flows, it is typically necessary to perform simulations that are under-resolved with respect to the underlying flow physics. For nodal discontinuous spectral element approximations of these under-resolved flows, the collocat
Externí odkaz:
http://arxiv.org/abs/2302.13359
Autor:
Dzanic, Tarik, Witherden, Freddie D.
Publikováno v:
Computers & Fluids, 266, 106056, 2023
In this work, we present a positivity-preserving adaptive filtering approach for discontinuous spectral element approximations of the ideal magnetohydrodynamics equations. This approach combines the entropy filtering method (Dzanic and Witherden, J.
Externí odkaz:
http://arxiv.org/abs/2301.03129
Publikováno v:
Journal of Computational Physics, 485, 112146, 2022
In this work, we present a positivity-preserving high-order flux reconstruction method for the polyatomic Boltzmann--BGK equation augmented with a discrete velocity model that ensures the scheme is discretely conservative. Through modeling the intern
Externí odkaz:
http://arxiv.org/abs/2210.15611
Within the framework of $ p $-adaptive flux reconstruction, we aim to construct efficient polynomial multigrid ($p$MG) preconditioners for implicit time integration of the Navier--Stokes equations using Jacobian-free Newton--Krylov (JFNK) methods. We
Externí odkaz:
http://arxiv.org/abs/2202.09733
Autor:
Dzanic, Tarik, Witherden, Freddie D.
Publikováno v:
Journal of Computational Physics, 111501, 2022
In this work, we present a positivity-preserving entropy-based adaptive filtering method for shock capturing in discontinuous spectral element methods. By adapting the filter strength to enforce positivity and a local discrete minimum entropy princip
Externí odkaz:
http://arxiv.org/abs/2201.10502
Autor:
Trojak, Will, Vadlamani, Nagabhushana Rao, Tyacke, James, Witherden, Freddie, Jameson, Antony
Publikováno v:
Computers and Fluids 247 (2022) 105634
Several competing artificial compressibility methods for the incompressible flow equations are examined using the high-order flux reconstruction method. The established artificial compressibility method (ACM) of \citet{Chorin1967} is compared to the
Externí odkaz:
http://arxiv.org/abs/2111.07915