A robust low speed preconditioning formulation for viscous flow computations

Colin, Yann; Deniau, Hugues; Boussuge, Jean‐François

doi:10.1016/j.compfluid.2011.01.015

Cited by 38 publications

(52 citation statements)

References 22 publications

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“…The differences would then be in terms of the preconditioner matrix and the set of primitive variables used. In a recent effort, Collin et al 20 have studied a robust low-speed preconditioning tool for viscous/turbulent flows based on the symmetric preconditioner of Weiss and Smith 18 and the viscous preconditioner of Choi and Merkle 17 in a combined so-called form of WSCM preconditioner. Also, Campobasso and Baba-Ahmadi 2 have used a slightly different viscous preconditioner that originated from works of Venkateswaran and Merkle 21 and applied it to unsteady flow past horizontal axis wind turbine blades.…”

Section: Low-speed Preconditioningmentioning

confidence: 99%

“…The WSCM preconditioner of Colin et al 20 not only takes care of the stagnation regions, which result in high local pressure disturbances, but also handles low Reynolds number regions which can lead to instabilities. It must be noted that the WSCM preconditioner uses primitive variables that are only limited to pressure, velocity and entropy.…”

Section: A Preconditioning Matrixmentioning

confidence: 99%

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A Turbulent Low-Speed Preconditioner for Unsteady Flows About Wind Turbine Airfoils

Djeddi

Ekici

2015

22nd AIAA Computational Fluid Dynamics Conference

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A harmonic balance method is used to study the unsteady flows at low-speed regimes typically seen for wind turbines. The frequency-domain technique is applied to the Reynoldsaveraged Navier-Stokes governing system of equations with the Spalart-Allmaras turbulence model. The convergence, stability and accuracy of the compressible solver is improved via a fully coupled viscous preconditioning designed for low speed flows that fall in the essentially incompressible flow regime. The viscous preconditioner couples the NavierStokes equations to the turbulence model through the correct implementation of the preconditioning matrix and the subsequently matrix-valued artificial dissipation term. Finally, the viscous low-speed preconditioning is enhanced with a mixed-mechanism that would increase the stability and improve the convergence of the harmonic balance solver used for the simulation of unsteady periodic flows.

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Section: Low-speed Preconditioningmentioning

confidence: 99%

Section: A Preconditioning Matrixmentioning

confidence: 99%

A Turbulent Low-Speed Preconditioner for Unsteady Flows About Wind Turbine Airfoils

Djeddi

Ekici

2015

22nd AIAA Computational Fluid Dynamics Conference

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“…By first considering the research side, the Cerfacs organization (Toulouse) is an important elsA partner since 2001 and has been participating over the last decade to research studies and software development dealing in particular with mesh strategies [13], numerical methods [20][21][22][23][24] and CPU efficiency [25]. Other main research partners are the Fluid Mechanics and Acoustics lab (LMFA,École Centrale de Lyon) [26] and Cenaero (Belgium) [27] for turbomachinery flow simulation, and the Dynfluid lab (Arts et Métiers ParisTech) for high accuracy numerical schemes [28,29] (see Sect.…”

Section: Research Partners and Industry Usersmentioning

confidence: 99%

“…In addition to the 17 references [4][5][6][7]11,12,16,[18][19][20][21][22][23][24][25]28,29] based on elsA in peerreviewed journals, the following list (alphabetically by the first author) gathers nearly 100 other papers dealing with elsA in such journals. This list is again a demonstration of cooperative work about elsA since the co-authors often belong to several research labs, or to both research laboratories and industry.…”

Section: Appendixmentioning

confidence: 99%

The OneraelsACFD software: input from research and feedback from industry

Cambier

Heib

Plot

2013

Mechanics & Industry

393

249

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-The Onera elsA CFD software is both a software package capitalizing the innovative results of research over time and a multi-purpose tool for applied CFD and multi-physics. The research input from Onera and other laboratories and the feedback from aeronautical industry users allow enhancement of its capabilities and continuous improvement. The paper presents recent accomplishments of varying complexity from research and industry for a wide range of aerospace applications: aircraft, helicopters, turbomachinery...

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“…'stiffness' problems, while solving the compressible equations, the preconditioning for equations is necessary. The preconditioning method has been well developed and been widely used in solving a variety of low speed flow problems [13] [14].…”

Section: Introductionmentioning

confidence: 99%

Modelling of a CFD Microscale Model and Its Application in Wind Energy Resource Assessment

Yue

2016

MATEC Web Conf.

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Abstract. The prediction of a wind farm near the wind turbines has a significant effect on the safety as well as economy of wind power generation. To assess the wind resource distribution within a complex terrain, a computational fluid dynamics (CFD) based wind farm forecast microscale model is developed. The model uses the Reynolds Averaged Navier-Stokes (RANS) model to characterize the turbulence. By using the results of Weather Research and Forecasting (WRF) mesoscale weather forecast model as the input of the CFD model, a coupled model of CFD-WRF is established. A special method is used for the treatment of the information interchange on the lateral boundary between two models. This established coupled model is applied in predicting the wind farm near a wind turbine in Hong Gang-zi, Jilin, China. The results from this simulation are compared to real measured data. On this basis, the accuracy and efficiency of turbulence characterization schemes are discussed. It indicates that this coupling system is easy to implement and can make these two separate models work in parallel. The CFD model coupled with WRF has the advantage of high accuracy and fast speed, which makes it valid for the wind power generation.

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A robust low speed preconditioning formulation for viscous flow computations

Cited by 38 publications

References 22 publications

A Turbulent Low-Speed Preconditioner for Unsteady Flows About Wind Turbine Airfoils

A Turbulent Low-Speed Preconditioner for Unsteady Flows About Wind Turbine Airfoils

The OneraelsACFD software: input from research and feedback from industry

Modelling of a CFD Microscale Model and Its Application in Wind Energy Resource Assessment

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