2 citations · 4 across the 6 of their papers we have counts for
6 papers
HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
Neil Ashton, Adam Clark, Liam Heidt +13
HiLiftAeroML is, to our knowledge, the first open high-fidelity computational fluid dynamics dataset dedicated to high-lift aircraft aerodynamics. It contains 1,800 simulations spa…
General-purpose Data-driven Wall Model for Low-speed Flows Part I: Baseline Model
Yuenong Ling, Imran Hayat, Konrad Goc +1
We present a general-purpose wall model for large-eddy simulation. The model builds on the building-block flow principle, leveraging essential physics from simple flows to train a…
Studies of Transonic Aircraft Flows and Prediction of Initial Buffet Onset Using Large-Eddy Simulations
Konrad A. Goc, Rahul Agrawal, Sanjeeb T. Bose +1
This article utilizes the Large-Eddy Simulation (LES) paradigm with a physics-based turbulence modeling approach, including a dynamic subgrid-scale model and an equilibrium wall mo…
Building-block flow model for computational fluids
Gonzalo Arranz, Yuenong Ling, Sam Costa +2
We introduce a closure model for wall-modeled large-eddy simulation (WMLES), referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise th…
Large-eddy simulations of the NACA23012 airfoil with laser-scanned ice shapes
Brett Bornhoft, Suhas S. Jain, Konrad Goc +2
In this study, five ice shapes generated at NASA Glenn's Icing Research Tunnel (IRT) are simulated at multiple angles of attack (Broeren et al., J. of Aircraft, 2018). These geomet…
Wall-modeled large-eddy simulation based on building-block flows
Yuenong Ling, Gonzalo Arranz, Emily Williams +3
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…