2019
DOI: 10.2514/1.j057187
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Uncertainty Estimation Module for Turbulence Model Predictions in SU2

Abstract: With the advent of improved computational resources, aerospace design has testing-based process to a simulationdriven procedure, wherein uncertainties in design and operating conditions are explicitly accounted for in the design under uncertainty methodology. A key source of such uncertainties in design are the closure models used to account for fluid turbulence. In spite of their importance, no reliable and extensively tested modules are available to estimate this epistemic uncertainty. In this article, we ou… Show more

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Cited by 51 publications
(25 citation statements)
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“…Various authors have shown that the k-ω SST model shows unsatisfactory performance for jets, both free jets [37] and impinging jets [38]. This arises due to the eddy-viscosity hypothesis used in two-equation turbulence models, that over-predict the mixing rate in the CFD simulation [39]. However, for integral quantities of interest like the heat transfer, the interaction between the liquid fronts on the surface engendered by the jets is a critical criterion.…”
Section: Unit Cell Modeling Analysismentioning
confidence: 99%
“…Various authors have shown that the k-ω SST model shows unsatisfactory performance for jets, both free jets [37] and impinging jets [38]. This arises due to the eddy-viscosity hypothesis used in two-equation turbulence models, that over-predict the mixing rate in the CFD simulation [39]. However, for integral quantities of interest like the heat transfer, the interaction between the liquid fronts on the surface engendered by the jets is a critical criterion.…”
Section: Unit Cell Modeling Analysismentioning
confidence: 99%
“…It should be noted that the SST k-ω turbulence model has its own limitations, errors and uncertainties [31]. However, the SST k-ω turbulence model is widely used to investigate the detail flow field in tip clearance for a NACA0009 hydrofoil [22,29].…”
Section: Methodsmentioning
confidence: 99%
“…The choice of the turbulence model was motivated by its common use in many aerodynamical applications, its robustness and its low computational cost [17]. However, recent studies demonstrated that this model leads to erroneous predictions for complicated flows with streamline curvature, sharp edges, inhomogeneties and flow separation [18,19]. This predictive discrepancy acted as a source of uncertainty in the final results of this investigation.…”
Section: Cfd Analysismentioning
confidence: 99%