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Generalized Non-Linear Eddy Viscosity Models for Data-Assisted Reynolds Stress Closure

https://doi.org/10.2514/6.2020-0351
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1097-0363(20010115)35:1<93::aid-fld85>3.0.co;2-gopenalex-snapshot
A stabilized finite element method for the incompressible Navier-Stokes equations using a hierarchical basis
inferredcites →https://doi.org/10.1007/205.1432-0673openalex-snapshot
Archive for Rational Mechanics and Analysis
inferredcites →https://doi.org/10.1016/0045-7825(74)90029-2openalex-snapshot
The numerical computation of turbulent flows
inferredcites →https://doi.org/10.1016/0142-727x(95)00079-6openalex-snapshot
Development and application of a cubic eddy-viscosity model of turbulence
inferredcites →https://doi.org/10.1016/j.jcp.2013.10.027openalex-snapshot
Bayesian estimates of parameter variability in the k–ε turbulence model
inferredcites →https://doi.org/10.1016/j.jcp.2015.11.012openalex-snapshot
A paradigm for data-driven predictive modeling using field inversion and machine learning
inferredcites →https://doi.org/10.1017/jfm.2011.193openalex-snapshot
Instability of streaks in wall turbulence with adverse pressure gradient
inferredcites →https://doi.org/10.1017/jfm.2015.268openalex-snapshot
Direct numerical simulation of turbulent channel flow up to
inferredcites →https://doi.org/10.1017/jfm.2016.615openalex-snapshot
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
inferredcites →https://doi.org/10.1017/jfm.2018.1000openalex-snapshot
Direct numerical simulation of backward-facing step flow at and expansion ratio 2
inferredcites →https://doi.org/10.1017/jfm.2018.257openalex-snapshot
Numerical study of turbulent separation bubbles with varying pressure gradient and Reynolds number
inferredcites →https://doi.org/10.1017/jfm.2019.205openalex-snapshot
Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned
inferredcites →https://doi.org/10.1017/s0022112075003382openalex-snapshot
A more general effective-viscosity hypothesis
inferredcites →https://doi.org/10.1109/itherm.2012.6231411openalex-snapshot
Estimation of turbulence closure coefficients for data centers using machine learning algorithms
inferredcites →https://doi.org/10.2514/1.36541openalex-snapshot
Formulation of the k-w Turbulence Model Revisited
inferredcites →https://doi.org/10.2514/1.j055595openalex-snapshot
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
inferredcites →https://doi.org/10.2514/6.2011-3865openalex-snapshot
Uncertainty Quantification of Structural Uncertainties in RANS Simulations of Complex Flows
inferredcites →https://doi.org/10.2514/6.2015-1284openalex-snapshot
New Approaches in Turbulence and Transition Modeling Using Data-driven Techniques
inferredcites →https://doi.org/10.2514/6.2015-1287openalex-snapshot
A Machine Learning Strategy to Assist Turbulence Model Development
inferredcites →https://doi.org/10.2514/masm16openalex-snapshot
54th AIAA Aerospace Sciences Meeting
inferredcites →https://doi.org/10.48550/arxiv.1701.07102openalex-snapshot
A Comprehensive Physics-Informed Machine Learning Framework for Predictive Turbulence Modeling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.cma.2022.115457openalex-snapshot
Invariant data-driven subgrid stress modeling in the strain-rate eigenframe for large eddy simulation
inferred← citeshttps://doi.org/10.1016/j.ijheatfluidflow.2023.109140openalex-snapshot
A coupled framework for symbolic turbulence models from deep-learning
inferred← citeshttps://doi.org/10.1063/5.0134992openalex-snapshot
Data-driven turbulence model for unsteady cavitating flow
inferred← citeshttps://doi.org/10.1063/5.0220444openalex-snapshot
Non-unique machine learning mapping in data-driven Reynolds-averaged turbulence models
inferred← citeshttps://doi.org/10.1103/physrevfluids.5.084611openalex-snapshot
Formulating turbulence closures using sparse regression with embedded form invariance
inferred← citeshttps://doi.org/10.1109/meae68077.2025.11558064openalex-snapshot
Research on Turbulence Model Modification Method Based on Gene Expression Programming
inferred← citeshttps://doi.org/10.2514/1.j059741openalex-snapshot
Using Particle Image Velocimetry to Determine Turbulence Model Parameters
inferred← citeshttps://doi.org/10.2514/1.j065906openalex-snapshot
Enhancing One-Equation Turbulence Models for Delta Wings by Gene Expression Programming
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