CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences

By J. Slotnick, A. Khodadoust, Juan José Palacios Alonso, David L. Darmofal, William D. Gropp, E. Lurie, Dimitri J. Mavriplis. 2014

954 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c41748358b6c70c5cea0e15d7b7beef1149c1132

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1. Ricardo Vinuesa
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5. Jiaqing Kou
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8. Weiwei Zhang

Citations in the corpus

• Machine learning methods for turbulence modeling in subsonic flows around airfoils (2018, background): “aircraft simulation across the full flight envelope by LES needs more than high-performance computing (HPC) advances and improvements in algorithmic technology, which might not be realized until 2030 [1]. Hence, RANS models will remain a critical approach in engineer practice during the foreseeable ”
• Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils (2016, methodology): “From the viewpoint of affordability, turbulence closure models – either in Reynolds Averaged Navier–Stokes (RANS) form or in a near-wall context in an eddy-resolving model – will continue to be indispensable for the foreseeable future [1].”
• Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression (2019, methodology): “The workhorse for turbulence modelling in industry are the Reynolds-Averaged Navier-Stokes (RANS) equations using linear eddy viscosity models (LEVM) [1].”
• Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned (2018, unknown): “e 2000). The CFD Vision 2030 white paper of NASA identified advanced turbulence modeling based on Reynolds stresses models as a priority for aeronautic technological advancement in the coming decades (Slotnick et al. 2014). However, so far Reynolds stress models have not been widely used in the engin”
• Differential Reynolds-Stress Modeling for Aeronautics (2015, background): “In particular, when approaching the borders of the flight regime, increasingly complex flow phenomena, mainly associatedwith separation, are encountered, being a considerable challenge to the turbulence modeling [5].”
• Direct numerical simulation of the flow around a wing section at moderate Reynolds number (2016, background): “Lately NASA issued a report [8] laying out a number of findings and recommendations regarding the role of CFD (Computational Fluid Dynamics) in aircraft design.”