scholarly journals Spatiotemporally dynamic implicit large eddy simulation using machine learning classifiers

2020 ◽  
Vol 406 ◽  
pp. 132409
Author(s):  
Romit Maulik ◽  
Omer San ◽  
Jamey D. Jacob
Keyword(s):  
Machine Learning ◽  
Large Eddy Simulation ◽  
Machine Learning Classifiers ◽  
Eddy Simulation ◽  
Learning Classifiers ◽  
Large Eddy ◽  
Implicit Large Eddy Simulation

Wall-Modelled Implicit Large-Eddy Simulation of the RA16SC1 Highlift Configuration

2013 ◽  
Author(s):  
Michael Meyer ◽  
Stefan Hickel ◽  
Christian Breitsamter ◽  
Nikolaus Adams
Keyword(s):  
Large Eddy Simulation ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Implicit Large Eddy Simulation

scholarly journals Implicit large eddy simulation of shock-driven material mixing

2013 ◽  
Vol 371 (2003) ◽  
pp. 20120217 ◽  
Author(s):  
F. F. Grinstein ◽  
A. A. Gowardhan ◽  
J. R. Ristorcelli
Keyword(s):  
Large Eddy Simulation ◽  
Turbulent Mixing ◽  
Initial Conditions ◽  
Spatial Scales ◽  
Late Time ◽  
Eddy Simulation ◽  
Geometrical Complexity ◽  
Planar Shock ◽  
Large Eddy ◽  
Implicit Large Eddy Simulation

Under-resolved computer simulations are typically unavoidable in practical turbulent flow applications exhibiting extreme geometrical complexity and a broad range of length and time scales. An important unsettled issue is whether filtered-out and subgrid spatial scales can significantly alter the evolution of resolved larger scales of motion and practical flow integral measures. Predictability issues in implicit large eddy simulation of under-resolved mixing of material scalars driven by under-resolved velocity fields and initial conditions are discussed in the context of shock-driven turbulent mixing. The particular focus is on effects of resolved spectral content and interfacial morphology of initial conditions on transitional and late-time turbulent mixing in the fundamental planar shock-tube configuration.

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