Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework

Reynolds-averaged Navier-Stokes (RANS) equations are widely used in engineering turbulent flow simulations. However, RANS predictions may have large discrepancies due to the uncertainties in modeled Reynolds stresses. Recently, Wang et al. demonstrated that machine learning can be used to improve th...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Jin-Long, Wu, Xiao, Heng, Paterson, Eric
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 09.09.2018
Schlagworte:	Artificial intelligence Closures Computational fluid dynamics Computer simulation Fluid flow Ill-conditioned problems (mathematics) Machine learning Mathematical analysis Physics Polynomials Reynolds averaged Navier-Stokes method Reynolds stress Simulation Tensors Turbulence models Turbulent flow Workflow
ISSN:	2331-8422
Online-Zugang:	Volltext
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