Recalibration of the Shear Stress Transport Model to Improve Calculation of Shock Separated Flows

Georgiadis, Nicholas J.; Yoder, Dennis A.

doi:10.2514/6.2013-685

Cited by 31 publications

(11 citation statements)

References 29 publications

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“…where ρ is the fluid density, v is the average speed, L is a characteristic length (i.e. the distance between the inlet and the wall in front of it) and μ is the fluid dynamic viscosity, is >10 6 inside the jet region throughout the transient, so the flow regime is fully turbulent and, based on [20], the k- SST (Menter) [21] turbulence model has been chosen for the analysis.…”

Section: Iiib1 Modelmentioning

confidence: 99%

3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor

Zappatore

Froio

Spagnuolo³

et al. 2020

Nucl. Fusion

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Accidental transients in fusion reactors, such as the in-vessel Loss-of-Coolant Accident (LOCA) considered here, are generally analyzed using system-level codes. However, because of their lumped nature, such tools cannot predict local pressure and temperature values, which are instead of interest to assess the integrity of the Vacuum Vessel (VV) structures. It is then fundamental to prove that the system-level tools' predictions are at least conservative. In this work, we analyze the helium flow inside the VV following a LOCA in the helium-cooled blanket of the EU DEMO, using a 3D transient CFD model implemented in the commercial STAR-CCM+ code. In view of the large pressure ratio, a hypersonic flow regime (Ma > 5) develops, with the formation of shock fronts requiring a high time and space resolution. The model is applied to compute the evolution of the pressure distribution inside the VV and then to compare it with the information provided by the system-level GETTHEM model. The predictions by the two models of the intervention time of the VV pressure suppression system are compared, showing that the 0D model is conservative.

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Section: Iiib1 Modelmentioning

confidence: 99%

3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor

Zappatore

Froio

Spagnuolo³

et al. 2020

Nucl. Fusion

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show abstract

“…The approaches can range from case specific 10 (sometimes ad hoc) parameter adjustment to more sophisticated parameter estimations schemes 13 . A powerful procedure based on a Bayesian parameter estimation method developed by Ray et.…”

Section: Introductionmentioning

confidence: 99%

K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution

Dechant

Ray

Lefantzi

et al. 2017

8th AIAA Theoretical Fluid Mechanics Conference

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“… Menter's shear stress transport (SST) turbulence model [10] with modified a1 limiter per the recent work by Georgiadis [11]. A detailed chemical kinetics mechanism, such as the H2-O2 mechanism used in these previous models, was not deemed practical for HIFiRE fuel combination of C2H4 and CH4 due to the much larger number of species and reactions required.…”

Section: Physical Models and Boundary Conditionsmentioning

confidence: 99%

Evaluation of Mixing-Limited Quasi-Global Wind-US Model for HIFire 2 Flowpath

Borghi¹,

Michael²

2014

52nd Aerospace Sciences Meeting

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Recalibration of the Shear Stress Transport Model to Improve Calculation of Shock Separated Flows

Cited by 31 publications

References 29 publications

3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor

3D transient CFD simulation of an in-vessel Loss-Of-Coolant Accident in the EU DEMO fusion reactor

K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution

Evaluation of Mixing-Limited Quasi-Global Wind-US Model for HIFire 2 Flowpath

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