Data-Driven Turbulent Prandtl Number Modeling for Hypersonic Shock–Boundary-Layer Interactions

We develop a neural-network-based variable turbulent Prandtl number model for the [Formula: see text] turbulence model for improved wall heating predictions in hypersonic shock–boundary-layer interactions (SBLIs). The model is developed by performing a finite-dimensional field inference for a spatia...

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Veröffentlicht in:	AIAA journal 2024-12, p.1-22
Hauptverfasser:	Parish, Eric, Ching, David S., Jordan, Cyrus, Nicholson, Gary, Miller, Nathan E., Beresh, Steven, Barone, Matthew, Gupta, Niloy, Duraisamy, Karthik
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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