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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Bibliographic Details
Published in:	arXiv.org
Main Authors:	Jin-Long, Wu, Xiao, Heng, Paterson, Eric
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 09.09.2018
Subjects:	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 Access:	Get full text
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