A Review of Solution Stabilization Techniques for RANS CFD Solvers

Shenren Xu, Jiazi Zhao, Hangkong Wu, Sen Zhang, Huang Huang, Jens-Dominik Mülle, Mohammad Rahmati, Dingxi Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
65 Downloads (Pure)


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.
Original languageEnglish
Article number230
Number of pages38
Issue number3
Publication statusPublished - 26 Feb 2023


Dive into the research topics of 'A Review of Solution Stabilization Techniques for RANS CFD Solvers'. Together they form a unique fingerprint.

Cite this