Download Deep Learning Methods For Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows PDF Free - Full Version
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About Deep Learning Methods For Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
This document describes a study that uses deep learning models to infer solutions to the Reynolds-Averaged Navier-Stokes equations for airfoil flows. The study evaluates over 500 trained convolutional neural network models to understand how training data size and network size affect solution accuracy. The best models achieved less than 3% error on new airfoil shapes. All source code and data are publicly available to allow reproducibility and use as a testbed for deep learning CFD methods.
Detailed Information
| Author: | ['Baran Denli'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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