Assessment of a simplified set of momentum closure relations for low volume fraction regimes in STAR-CCM+ and OpenFOAM

Sugrue, Rosemary M; Magolan, Ben; Lubchenko, Nazar; Baglietto, Emilio

doi:10.1016/j.anucene.2017.05.059

Cited by 34 publications

(39 citation statements)

References 12 publications

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“…OpenFOAM is an excellent CFD analysis tool based on the finite volume method and written with C++ [ 18 ]. Many researchers are using OpenFOAM to perform complex flow simulations thanks to its editable solver and flexibility in governing equation settings.…”

Section: Introductionmentioning

confidence: 99%

“…The LES model could predict the fluid more accurately than RANS, but with a higher requirement for calculation resources [ 25 ]. The MYRRHA project [ 17 ] and Sugrue [ 18 ] recommended to use the k-epsilon model for two-phase LBE flow simulations. Therefore, we considered it to be suitable for the studies performed in this paper [ 27 , 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Accelerator-Driven System Fuel Assembly during the Steam Generator Tube Rupture Accident

et al. 2021

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China is developing an ADS (Accelerator-Driven System) research device named the China initiative accelerator-driven system (CiADS). When performing a safety analysis of this new proposed design, the core behavior during the steam generator tube rupture (SGTR) accident has to be investigated. The purpose of our research in this paper is to investigate the impact from different heating conditions and inlet steam contents on steam bubble and coolant temperature distributions in ADS fuel assemblies during a postulated SGTR accident by performing necessary computational fluid dynamics (CFD) simulations. In this research, the open source CFD calculation software OpenFOAM, together with the two-phase VOF (Volume of Fluid) model were used to simulate the steam bubble behavior in heavy liquid metal flow. The model was validated with experimental results published in the open literature. Based on our simulation results, it can be noticed that steam bubbles will accumulate at the periphery region of fuel assemblies, and the maximum temperature in fuel assembly will not overwhelm its working limit during the postulated SGTR accident when the steam content at assembly inlet is less than 15%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Accelerator-Driven System Fuel Assembly during the Steam Generator Tube Rupture Accident

et al. 2021

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“…Detailed knowledge of the behavior and size distribution of bubbles is essential for the accurate prediction of boiling, three dimensional void fraction distribution and evolution of the flow regime in boiling flows. Given its impact on nuclear reactor thermal hydraulics, a significant amount of recent research has been focused on improving our understanding of, and predictive capability for, gas-liquid bubbly flows (Mimouni et al, 2010(Mimouni et al, , 2015Hosokawa et al, 2014;Colombo and Fairweather, 2015;Hazuku et al, 2016;Lucas et al, 2016;Sugrue et al, 2017;Liao et al, 2018;Lubchenko et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…At the present time, the most often adopted strategy consists in adding specific source terms to the turbulence model equations to account for bubble-induced turbulence. Although significant advances have been made in recent years, particularly in modeling based on the conversion of energy from drag to turbulence kinetic energy in bubble wakes (Troshko and Hassan, 2001;Rzehak and Krepper, 2013;Ma et al, 2017;Magolan et al, 2017), turbulence modeling still often relies on the eddy viscosity assumption (Yao and Morel, 2004;Rzehak and Krepper, 2013;Sugrue et al, 2017;Liao et al, 2018). In contrast, second moment closures have only been applied in a few studies (Lopez de Bertodano et al, 1990;Lahey et al, 1993).…”

Section: Introductionmentioning

confidence: 99%

Multi-Fluid Computational Fluid Dynamic Predictions of Turbulent Bubbly Flows Using an Elliptic-Blending Reynolds Stress Turbulence Closure

Colombo

Fairweather

2020

Front. Energy Res.

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The accurate prediction of bubbly flows is critical to many areas of nuclear reactor thermal hydraulics, mainly, but not only, in relation to the key role bubble behavior plays in boiling flows. Large scale computations of flows with hundreds of thousands of bubbles are possible at a reasonable computational cost using computational fluid dynamic, multi-fluid Eulerian-Eulerian models. The main limitation of these models is the need to entirely model interfacial transfer processes with proper closure relations. Here, the capabilities and advantages provided by a model that includes an elliptic-blending Reynolds stress turbulence closure (EB-RSM), allowing fine resolution of the velocity field in the near-wall region, are tested over a large database. This database includes mostly monodispersed bubbly flows over a wide range of operating conditions and geometrical parameters, including upward and downward pipe flows, large diameter pipes and a square duct. The model shows encouraging accuracy and robustness, with good agreement over most void fraction distributions and accurate prediction of the magnitude and position of the near-wall void fraction peak. The model does not include any wall force, avoiding all the related uncertainties, and the prediction of the void fraction peak relies on the fine resolution of the near-wall pressure gradient induced by the turbulence field. Overall, the EB-RSM allows accurate resolution of the velocity and turbulence field near the wall, and the transition to this and similar turbulence closures is of value in assisting the ongoing quest for thermal hydraulic models that are accurate and of general applicability. Additional modifications to the near-wall modeling approach, which is still based on its single-phase counterpart, may be required to deal with high void fraction conditions and, in the overall model, additional improvements to momentum and, most importantly, bubble-induced turbulence closures are desirable.

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“…This role of the continuous phase turbulence had been rarely considered in previous works, in which multiphase extensions of single-phase linear eddy viscosity models had generally been applied. To provide some examples, Troshko and Hassan (2001), Yao and Morel (2004) and Sugrue et al (2017) have adopted multiphase extensions of the k-model, while Rzehak and Krepper (2013) and Liao et al (2015) employed the SST kmodel. These works, in view of the intrinsic limitations of eddy viscosity-based turbulence models, were unable to correctly predict the three-dimensional turbulence structure and its influence on the void fraction distribution, in particular when, as is often done in single-phase simulations, the turbulence kinetic energy is added to the pressure field.…”

Section: Introductionmentioning

confidence: 99%

Influence of multiphase turbulence modelling on interfacial momentum transfer in two-fluid Eulerian-Eulerian CFD models of bubbly flows

Colombo

Fairweather

2019

Chemical Engineering Science

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Assessment of a simplified set of momentum closure relations for low volume fraction regimes in STAR-CCM+ and OpenFOAM

Cited by 34 publications

References 12 publications

Analysis of the Accelerator-Driven System Fuel Assembly during the Steam Generator Tube Rupture Accident

Analysis of the Accelerator-Driven System Fuel Assembly during the Steam Generator Tube Rupture Accident

Multi-Fluid Computational Fluid Dynamic Predictions of Turbulent Bubbly Flows Using an Elliptic-Blending Reynolds Stress Turbulence Closure

Influence of multiphase turbulence modelling on interfacial momentum transfer in two-fluid Eulerian-Eulerian CFD models of bubbly flows

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