Zobrazeno 1 - 10
of 685
pro vyhledávání: '"Griffin, Kevin A."'
Autor:
Wald, Ingo, Zellmann, Stefan, Amstutz, Jefferson, Wu, Qi, Griffin, Kevin, Jaros, Milan, Wesner, Stefan
We propose and discuss a paradigm that allows for expressing \emph{data-parallel} rendering with the classically non-parallel ANARI API. We propose this as a new standard for data-parallel sci-vis rendering, describe two different implementations of
Externí odkaz:
http://arxiv.org/abs/2407.00179
We improve upon two key aspects of the Menter shear stress transport (SST) turbulence model: (1) We propose a more robust adverse pressure gradient sensor based on the strength of the pressure gradient in the direction of the local mean flow; (2) We
Externí odkaz:
http://arxiv.org/abs/2404.19035
Autor:
Egan, Hilary, Griffin, Kevin Patrick, de Frahan, Marc T. Henry, Mueller, Juliane, Vaidhynatha, Deepthi, Wald, Dylan, Chintala, Rohit, Doronina, Olga A., King, Ryan, Sanyal, Jibonananda, Day, Marc
Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are allocated over successive batches, which makes the allocation adaptiv
Externí odkaz:
http://arxiv.org/abs/2404.00053
Thwaites (1949) developed an approximate method for determining the evolution of laminar boundary layers. The approximation follows from an assumption that the growth of a laminar boundary layer in the presence of pressure gradients could be paramete
Externí odkaz:
http://arxiv.org/abs/2310.16337
Publikováno v:
Journal of Fluid Mechanics , Volume 970 , 10 September 2023 , A36
In this work, a near-wall model, which couples the inverse of a recently developed compressible velocity transformation [Griffin, Fu, & Moin, PNAS, 118:34, 2021] and an algebraic temperature-velocity relation, is developed for high-speed turbulent bo
Externí odkaz:
http://arxiv.org/abs/2307.04958
Autor:
Ling, Yuenong, Arranz, Gonzalo, Williams, Emily, Goc, Konrad, Griffin, Kevin, Lozano-Durán, Adrián
A unified subgrid-scale (SGS) and wall model for large-eddy simulation (LES) is proposed by devising the flow as a collection of building blocks that enables the prediction of the eddy viscosity. The core assumption of the model is that simple canoni
Externí odkaz:
http://arxiv.org/abs/2212.05120
We develop a wall model for large-eddy simulation (LES) that takes into account various pressure-gradient effects using multi-agent reinforcement learning (MARL). The model is trained using low-Reynolds-number flow over periodic hills with agents dis
Externí odkaz:
http://arxiv.org/abs/2211.16427
This work assesses several popular transformations for the velocity profile through their application to several types of non-canonical compressible wall-bounded turbulent flows. Specifically, this work explores DNS databases of high-enthalpy boundar
Externí odkaz:
http://arxiv.org/abs/2204.00874
Publikováno v:
Phys. Rev. Fluids 7 (7), 2022
A major drawback of Boussinesq-type subgrid-scale stress models used in large-eddy simulations is the inherent assumption of alignment between large-scale strain rates and filtered subgrid-stresses. A priori analyses using direct numerical simulation
Externí odkaz:
http://arxiv.org/abs/2202.05502
Velocity transformation for compressible wall-bounded turbulent flows with and without heat transfer
Publikováno v:
Proceedings of the National Academy of Sciences, 118, 34, (2021)
In this work, a transformation, which maps the mean velocity profiles of compressible wall-bounded turbulent flows to the incompressible law of the wall is proposed. Unlike existing approaches, the proposed transformation successfully collapses, with
Externí odkaz:
http://arxiv.org/abs/2108.07397