Prediction of Reynolds stresses in high-Mach-number turbulent boundary layers using physics-informed machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Fluid Flow and Transfer Processes,General Engineering,Condensed Matter Physics,Computational Mechanics
Link
http://link.springer.com/article/10.1007/s00162-018-0480-2/fulltext.html
Reference58 articles.
1. Ansys fluent user guide, release 15.0. ANSYS Inc (2013)
2. Banerjee, S., Krahl, R., Durst, F., Zenger, C.: Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches. J. Turbul. 8, N32 (2007)
3. Cheung, S.H., Oliver, T.A., Prudencio, E.E., Prudhomme, S., Moser, R.D.: Bayesian uncertainty analysis with applications to turbulence modeling. Reliab. Eng. Syst. Saf. 96(9), 1137–1149 (2011)
4. Craft, T., Launder, B., Suga, K.: Development and application of a cubic eddy-viscosity model of turbulence. Int. J. Heat Fluid Flow 17(2), 108–115 (1996)
5. Dow, E., Wang, Q.: Quantification of structural uncertainties in the $$k$$ k – $$\omega $$ ω turbulence model. In: 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, AIAA, Denver, Colorado, pp. 2011–1762 (2011)
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