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Research Article

An efficient implementation of compact third-order implicit reconstruction solver with a simple WBAP limiter for compressible flows on unstructured meshes

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Article: 2249135 | Received 11 Jun 2023, Accepted 12 Aug 2023, Published online: 05 Sep 2023
 

Abstract

In this paper, we present the development of a third-order density-based solver within the OpenFOAM framework, tailored for handling compressible flows. The solver incorporates implicit variational reconstruction on three-dimensional unstructured meshes, as well as a novel technology coupling reconstruction and time integration for both steady and unsteady simulations. To address the challenge of achieving high-order accuracy for curved geometries, we introduce a new approach for curved wall boundary reconstruction, specifically designed for situations where high-order mesh information is not readily available in OpenFOAM. Furthermore, we propose a simple WBAP limiter capable of capturing shocks without necessitating the whole-domain successive limiting procedure. Numerical tests were conducted to assess the solver's performance. The results reveal that our established solver exhibits higher accuracy in smooth flow simulations, while maintaining an excellent balance between accuracy and robustness for problems involving strong shocks and other complex flow structures.

Acknowledgements

The authors thank Weicheng Pei for his careful instruction of writing and coding. Author Contributions: Conceptualization, M.Y. and S.L.; methodology, M.Y.; software, M.Y.; validation, M.Y.; formal analysis, M.Y.; investigation, M.Y.; resources, M.Y.; data curation, M.Y.; writing – original draft preparation, M.Y.; writing – review and editing, M.Y. and S.L.; visualization, M.Y.; supervision, S.L.; All authors have read and agreed to the published version of the manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by the National High-tech R&D Program (863 Program) [grant number 2012AA112201].