A Review of Solution Stabilization Techniques for RANS CFD Solvers

Nonlinear, time-linearized and adjoint Reynolds-averaged Navier-Stokes (RANS) computational fluid dynamics (CFD) solvers are widely used to assess and improve the aerodynamic and aeroelastic performance of aircrafts and turbomachines. While RANS CFD solver technologies are relatively mature for appl...

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Main Authors: Shenren Xu, Jiazi Zhao, Hangkong Wu, Sen Zhang, Jens-Dominik Müller, Huang Huang, Mohammad Rahmati, Dingxi Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/10/3/230
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author Shenren Xu
Jiazi Zhao
Hangkong Wu
Sen Zhang
Jens-Dominik Müller
Huang Huang
Mohammad Rahmati
Dingxi Wang
author_facet Shenren Xu
Jiazi Zhao
Hangkong Wu
Sen Zhang
Jens-Dominik Müller
Huang Huang
Mohammad Rahmati
Dingxi Wang
author_sort Shenren Xu
collection DOAJ
description Nonlinear, time-linearized and adjoint Reynolds-averaged Navier-Stokes (RANS) computational fluid dynamics (CFD) solvers are widely used to assess and improve the aerodynamic and aeroelastic performance of aircrafts and turbomachines. While RANS CFD solver technologies are relatively mature for applications at design conditions where the flow is benign, their use in off-design conditions, featuring flow instabilities, such as separations and shock wave/boundary layer interactions, still faces many challenges, with tight residual convergence being a major difficulty. To cope with this, several solver stabilization techniques have been proposed. However, a systematic and comparative study of these techniques has not been reported, to some extent hindering the wide deployment of these methods for industrial applications. In this paper, we critically review the existing methods for solver convergence stabilization, with the main purpose of explaining the rationale behind the algorithms and providing a systematic view of the seemingly different methods. Specifically, mathematical formulations and implementation details of these methods, example applications, and the pros and cons of the methods are discussed in detail, along with suggestions for further improvements. This review is expected to give CFD method developers an overview of the various solution stabilization methods and application engineers an idea how to choose a suitable method for their respective applications.
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spelling doaj.art-32e8d8f2d2814eafbd44d00398765efd2023-11-17T08:58:10ZengMDPI AGAerospace2226-43102023-02-0110323010.3390/aerospace10030230A Review of Solution Stabilization Techniques for RANS CFD SolversShenren Xu0Jiazi Zhao1Hangkong Wu2Sen Zhang3Jens-Dominik Müller4Huang Huang5Mohammad Rahmati6Dingxi Wang7Northwestern Polytechnical University, Xi’an 710072, ChinaNorthwestern Polytechnical University, Xi’an 710072, ChinaNorthwestern Polytechnical University, Xi’an 710072, ChinaNorthwestern Polytechnical University, Xi’an 710072, ChinaQueen Mary University of London, London E1 4NS, UKNorthwestern Polytechnical University, Xi’an 710072, ChinaNorthumbria University, Newcastle upon Tyne NE1 8ST, UKNorthwestern Polytechnical University, Xi’an 710072, ChinaNonlinear, time-linearized and adjoint Reynolds-averaged Navier-Stokes (RANS) computational fluid dynamics (CFD) solvers are widely used to assess and improve the aerodynamic and aeroelastic performance of aircrafts and turbomachines. While RANS CFD solver technologies are relatively mature for applications at design conditions where the flow is benign, their use in off-design conditions, featuring flow instabilities, such as separations and shock wave/boundary layer interactions, still faces many challenges, with tight residual convergence being a major difficulty. To cope with this, several solver stabilization techniques have been proposed. However, a systematic and comparative study of these techniques has not been reported, to some extent hindering the wide deployment of these methods for industrial applications. In this paper, we critically review the existing methods for solver convergence stabilization, with the main purpose of explaining the rationale behind the algorithms and providing a systematic view of the seemingly different methods. Specifically, mathematical formulations and implementation details of these methods, example applications, and the pros and cons of the methods are discussed in detail, along with suggestions for further improvements. This review is expected to give CFD method developers an overview of the various solution stabilization methods and application engineers an idea how to choose a suitable method for their respective applications.https://www.mdpi.com/2226-4310/10/3/230Reynolds-averaged Navier–Stokesfixed-point iterationresidual convergencerecursive projection method (RPM)selective frequency damping (SFD)Newton’s method
spellingShingle Shenren Xu
Jiazi Zhao
Hangkong Wu
Sen Zhang
Jens-Dominik Müller
Huang Huang
Mohammad Rahmati
Dingxi Wang
A Review of Solution Stabilization Techniques for RANS CFD Solvers
Aerospace
Reynolds-averaged Navier–Stokes
fixed-point iteration
residual convergence
recursive projection method (RPM)
selective frequency damping (SFD)
Newton’s method
title A Review of Solution Stabilization Techniques for RANS CFD Solvers
title_full A Review of Solution Stabilization Techniques for RANS CFD Solvers
title_fullStr A Review of Solution Stabilization Techniques for RANS CFD Solvers
title_full_unstemmed A Review of Solution Stabilization Techniques for RANS CFD Solvers
title_short A Review of Solution Stabilization Techniques for RANS CFD Solvers
title_sort review of solution stabilization techniques for rans cfd solvers
topic Reynolds-averaged Navier–Stokes
fixed-point iteration
residual convergence
recursive projection method (RPM)
selective frequency damping (SFD)
Newton’s method
url https://www.mdpi.com/2226-4310/10/3/230
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