SGS Modelling in Les of Wall-Bounded Flows Using Transport Rans Models: From a Zonal to a Seamless Hybrid Les/Rans Method

Jakirlić, Suad; Saric, Sanjin; Kniesner, Björn; Basara, Branislav; Kadavelil, G.; Chaouat, Bruno

doi:10.1615/tsfp6.1680

Cited by 14 publications

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“…LES directly computes large eddy and expresses small-scale eddy using a subgrid-scale (SGS) turbulence model [33,34]. The filtered LES control equations are as follows:…”

Section: Large Eddy Simulation (Les) Modelmentioning

confidence: 99%

Exploring Vortex–Flame Interactions and Combustion Dynamics in Bluff Body-Stabilized Diffusion Flames: Effects of Incoming Flow Velocity and Oxygen Content

Chen,

Zhao,

Wang

et al. 2024

Processes

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An afterburner encounters two primary features: high incoming flow velocity and low oxygen concentration in the incoming airflow, which pose substantial challenges and contribute significantly to the deterioration of combustion performance. In order to research the influence of oxygen content on the dynamic combustion characteristics of the afterburner under various inlet velocities, the effect of oxygen content (14–23%) on the field structure of reacting bluff body flow, flame morphology, temperature pulsation, and pressure pulsation of the afterburner at different incoming flow velocities (0.1–0.2 Ma) was investigated in this study by using a large eddy simulation method. The results show that two different instability features, BVK instability and KH instability, are observed in the separated shear layer and wake, and are influenced by changes in the O2 mass fraction and Mach number. The oxygen content and velocity affected the oscillation amplitude of the downstream flow. As the O2 mass fraction decreases, the flame oscillation amplitude increases, the OH concentration in the combustion chamber decreases, and the flame temperature decreases. Additionally, the amplitude of the temperature pulsation in the bluff body flame was primarily influenced by the temperature intensity of the flame and BVK instability. Moreover, the pressure pulsation is predominantly affected by the dynamic characteristics of the flow field behind the bluff body. When the BVK instability dominated, the primary frequency of the pressure pulsation aligned with that of the temperature pulsation. Conversely, under the dominance of the KH instability, the temperature pulsation did not exhibit a distinct main frequency. At present, the influence of oxygen content and incoming flow rate on the combustion performance of the combustion chamber is not clear. The study of the effect of oxygen content on the combustion characteristics of the combustion chamber at different incoming flow rates provides a reference for improving the performance of the combustion chamber and enhancing the combustion stability.

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“…LES directly computes large eddy and expresses small-scale eddy using a subgrid-scale (SGS) turbulence model [33,34]. The filtered LES control equations are as follows:…”

Section: Large Eddy Simulation (Les) Modelmentioning

confidence: 99%

Exploring Vortex–Flame Interactions and Combustion Dynamics in Bluff Body-Stabilized Diffusion Flames: Effects of Incoming Flow Velocity and Oxygen Content

Chen,

Zhao,

Wang

et al. 2024

Processes

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“…Recently, more advanced viscosity subfilter models based on the PITM method have emerged. One is the k sfs − ǫ sfs − ζ − f model 25 where ζ represents the ratio of the normal velocity to the turbulent energy and f is an elliptic function inspired from the Durbin RANS model 61 taking into account the Speziale-Sarkar-Gatski (SSG) model. 62 The second one is the k sfs − ω sfs subfilter model inspired from the RANS k − ω SST model.…”

Section: A Subfilter Scale Viscosity Modelsmentioning

confidence: 99%

“…Different bounded flows have been performed on coarse grids including the basic test case of fully turbulent channel flow 12,13,19 and more complex flows such as the channel flow with mass injection subjected to the development of natural unsteadiness, 13 the pulsed channel flow influenced by forced unsteadiness, 12 the channel flow over periodic hills 15,25,27 governed by interacting turbulence mechanisms associated with separation, recirculation and reattachment, and the channel flow subjected to a spanwise rotation ranging from moderate to higher rotation rates. 17 The prediction of rotating turbulent flows is known for the difficulty in modeling the subtle effects of the Coriolis forces.…”

Section: Simulation Of Non-homogeneous Turbulencementioning

confidence: 99%

“…Although some equations of the PANS approach look similar to the PITM method, the method does not provide a clear link between the model equations and the filter size. The PITM method is now becoming more widespread in turbulence modeling 13,17,19,[25][26][27] because of its practical interest in the field of engineering applications. As the method retains a strong link with the underlying spectral concepts, there is a need to make clear how this connection is working.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analytical insights into the partially integrated transport modeling method for hybrid Reynolds averaged Navier-Stokes equations-large eddy simulations of turbulent flows

Chaouat¹,

Schiestel²

2012

Physics of Fluids

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A New Partially Integrated Transport Modelling (PITM) Method for Continuous Hybrid Non-zonal RANS/LES Simulations

Chaouat

2010

Progress in Hybrid RANS-LES Modelling

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SGS Modelling in Les of Wall-Bounded Flows Using Transport Rans Models: From a Zonal to a Seamless Hybrid Les/Rans Method

Cited by 14 publications

References 0 publications

Exploring Vortex–Flame Interactions and Combustion Dynamics in Bluff Body-Stabilized Diffusion Flames: Effects of Incoming Flow Velocity and Oxygen Content

Exploring Vortex–Flame Interactions and Combustion Dynamics in Bluff Body-Stabilized Diffusion Flames: Effects of Incoming Flow Velocity and Oxygen Content

Analytical insights into the partially integrated transport modeling method for hybrid Reynolds averaged Navier-Stokes equations-large eddy simulations of turbulent flows

A New Partially Integrated Transport Modelling (PITM) Method for Continuous Hybrid Non-zonal RANS/LES Simulations

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