A new turbulence model for separated flows

Jiang, Lijun; Tabor, Gavin; Ge, Gao

doi:10.1080/10618562.2011.618454

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…The transitional turbulence behaviour during transient process is still an issue under investigation. Some new RANS-based turbulence models were presented for separated flows (Jiang et al 2011), but the RANS models are not well suited for predicting transient effects of turbulent separated flow (Benim et al 2008). On the other hand, for transient flow simulation, the grid requirements for the description of Large Eddy Simulation (LES) are quite large.…”

Section: Computational Model and Boundary Conditionmentioning

confidence: 99%

A study on numerical methods for transient rotating flow induced by starting blades

Wu¹,

Chen²,

Sun³

et al. 2012

International Journal of Computational Fluid Dynamics

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Based on the finite volume method, three methods for rotational region treatment were presented and validated by simulating two-dimensional accelerating rotational flows. Separate transient incompressible flows induced by crossshaped blades during starting process were simulated using the dynamic mesh, sliding mesh and dynamic reference frame methods. The computing performance and stability of the three methods were evaluated by comparing numerical results, and the transient characteristics of the accelerating rotational flow were analysed numerically. Results showed that the starting process affected the flow structure and transient characteristics of the accelerating rotational flows. The sliding mesh method showed higher computational efficiency and accuracy compared with other methods, and could easily be extended to solve three-dimensional transient flows in hydraulic machineries under transient operations, such as start-up and shutdown.

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Section: Computational Model and Boundary Conditionmentioning

confidence: 99%

A study on numerical methods for transient rotating flow induced by starting blades

Wu¹,

Chen²,

Sun³

et al. 2012

International Journal of Computational Fluid Dynamics

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show abstract

“…RANS assume turbulence to be isotropic and dissipative, so the Boussinesq approximation can be used to model the flow. Several models have been developed for modelling the fluctuations and obtaining the turbulent kinetic energy and turbulent flow dissipation [102][103][104][105]. All RANS models separate the mean steady flow and the stochastic turbulent component.…”

Section: Computational Sciencementioning

confidence: 99%

The Role of Computational Science in Wind and Solar Energy: A Critical Review

Drikakis

Dbouk

2022

Energies

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This paper concerns technology challenges for the wind and solar sectors and the role of computational science in addressing the above. Wind energy challenges include understanding the atmospheric flow physics, complex wakes and their interaction with wind turbines, aeroelastic effects and the associated impact on materials, and optimisation of wind farms. Concentrated solar power technologies require an optimal configuration of solar dish technology and porous absorber in the volumetric solar receiver for efficiency and durability and to minimise the convective heat losses in the receiver. Computational fluid dynamics and heat transfer have advanced in terms of numerical methods and physics-based models and their implementation in high-performance computing facilities. Despite this progress, computational science requires further advancement to address the technological challenges of designing complex systems accurately and efficiently, as well as forecasting the system’s performance. Machine Learning models and optimisation techniques can maximise the performance of simulations and quantify uncertainties in the wind and solar energy technologies. However, in a similar vein, these methods require further development to reduce their computational uncertainties. The need to address the global energy challenges requires further investment in developing and validating computational science methods and physics-based models for accurate and numerically efficient predictions at different scales.

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“…with the turbulent effects being reduced to a turbulent viscosity ν t , which in turn can be related to turbulent properties such as the turbulent kinetic energy k and turbulent dissipation . This provides a family of models known as eddy viscosity models of which the standard k − model is the best known [12], although others such as the k − ω − SST are becoming increasingly important [13,14]. Alternatively here, if the Boussinesq approximation is not appropriate, the individual terms of R can be solved either algebraically, or as transport equations, resulting in various Reynolds Stress models [15,16].…”

Section: Turbulence Modellingmentioning

confidence: 99%

Multiscale Computational Fluid Dynamics

2019

Self Cite

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Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and tidal devices, and other devices for energy generation. With the constant increase in available computing power, the fidelity and accuracy of CFD simulations have constantly improved, and the technique is now an integral part of research and development. In the past few years, the development of multiscale methods has emerged as a topic of intensive research. The variable scales may be associated with scales of turbulence, or other physical processes which operate across a range of different scales, and often lead to spatial and temporal scales crossing the boundaries of continuum and molecular mechanics. In this paper, we present a short review of multiscale CFD frameworks with potential applications to energy problems.

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A new turbulence model for separated flows

Cited by 9 publications

References 29 publications

A study on numerical methods for transient rotating flow induced by starting blades

A study on numerical methods for transient rotating flow induced by starting blades

The Role of Computational Science in Wind and Solar Energy: A Critical Review

Multiscale Computational Fluid Dynamics

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