Using LSTM Predictions for RANS Simulations

This study constitutes the second phase of a research endeavor aimed at evaluating the feasibility of employing Long Short-Term Memory (LSTM) neural networks as a replacement for Reynolds-Averaged Navier-Stokes (RANS) turbulence models. In the initial phase of this investigation (titled Modeling Tur...

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Veröffentlicht in:	arXiv.org 2024-11
1. Verfasser:	Pasinato, Hugo D
Format:	Artikel
Sprache:	eng
Schlagworte:	Channel flow Computational fluid dynamics Computer simulation Direct numerical simulation Domain names Feasibility studies Fluid flow Neural networks Recurrent neural networks Reynolds averaged Navier-Stokes method Reynolds stress Simulation Stress propagation Turbulence models Turbulent flow
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