Підписатись
Aviral Prakash
Aviral Prakash
Postdoctoral Research Associate, Los Alamos National Laboratory
Підтверджена електронна адреса в colorado.edu
Назва
Посилання
Посилання
Рік
Invariant data-driven subgrid stress modeling in the strain-rate eigenframe for large eddy simulation
A Prakash, KE Jansen, JA Evans
Computer Methods in Applied Mechanics and Engineering 399, 115457, 2022
322022
Consistent surface roughness extension for wall functions
A Prakash, E Laurendeau
International Journal of Heat and Fluid Flow 82, 108552, 2020
172020
Invariant data-driven subgrid stress modeling on anisotropic grids for large eddy simulation
A Prakash, KE Jansen, JA Evans
Computer Methods in Applied Mechanics and Engineering 422, 116807, 2024
112024
Wall-modeled large eddy simulations of a turbulent boundary layer over the Boeing speed bump at ReL = 2 million
A Prakash, R Balin, JA Evans, KE Jansen
AIAA SciTech 2022 Forum, 0338, 2022
102022
Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows
A Prakash, YJ Zhang
Computer Methods in Applied Mechanics and Engineering 425, 116930, 2024
82024
Optimal clipping of structural subgrid stress closures for large-eddy simulation
A Prakash, KE Jansen, JA Evans
AIAA Journal 60 (12), 6897-6909, 2022
82022
A streamline coordinate analysis of a turbulent boundary layer subject to pressure gradients and curvature on the windward side of a bump
A Prakash, R Balin, JA Evans, KE Jansen
Journal of Fluid Mechanics 984, A23, 2024
6*2024
Data-driven identification of stable sparse differential operators using constrained regression
A Prakash, YJ Zhang
Computer Methods in Applied Mechanics and Engineering 429, 117149, 2024
5*2024
SNF-ROM: Projection-based nonlinear reduced order modeling with smooth neural fields
V Puri, A Prakash, LB Kara, YJ Zhang
arXiv preprint arXiv:2405.14890, 2024
32024
Optimal clipping of the gradient model for subgrid stress closure
A Prakash, KE Jansen, JA Evans
Aiaa scitech 2021 forum, 1665, 2021
32021
Sensitivity of Glaze Ice Accretion and Iced Aerodynamics Prediction to Roughness
A Kontogiannis, A Prakash, E Laurendeau, F Moens
Proceedings of the 26th Annual Conference of the Computational Fluid …, 2018
32018
Extension of the Smagorinsky subgrid stress model to anisotropic filters
A Prakash, KE Jansen, JA Evans
AIAA SciTech 2023 Forum, 2486, 2023
22023
RANS computation of heat transfer over rough surfaces
A Prakash
Ecole Polytechnique, Montreal (Canada), 2019
22019
A wall function approach to account for rough surface heat transfer in Spalart-Allmaras turbulence model
A Prakash, E Laurendeau
AIAA Aviation 2019 Forum, 2918, 2019
22019
Scale-Resolving Simulations and Data-Driven Subgrid Modeling for Complex Turbulent Boundary Layer Flows
A Prakash
University of Colorado at Boulder, 2023
12023
Data-driven artificial viscosity closures for projection-based reduced order modeling of incompressible fluid flows
A Prakash, Y Zhang
APS Division of Fluid Dynamics Meeting Abstracts, T15. 004, 2024
2024
Nonintrusive projection-based reduced order modeling using stable learned differential operators
A Prakash, YJ Zhang
arXiv preprint arXiv:2410.11253, 2024
2024
Direct numerical simulation of the turbulent boundary layer over the Boeing bump at ReL=2M
K Jansen, A Prakash, R Balin, J Evans
Bulletin of the American Physical Society, 2023
2023
An Efficient Data-Driven Closure Modeling Framework for Interpretable Sub-Grid Scale Stress Model Development Via Sparse Regression
S Friess, A Prakash, J Evans
Bulletin of the American Physical Society, 2023
2023
Data-Driven Isogeometric Design Space Exploration
A Prakash
University of Colorado at Boulder, 2023
2023
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