A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes

作者：

Highlights：

• CWENO, MUSCL and 1st-order upwind schemes combined in one framework.

• Cascade adaptive solution admissibility criteria for MOOD technique.

• The MOOD augmented methods further fortifies high-order methods.

• Applied to 2D and 3D compressible multicomponent flow problems.

摘要

•CWENO, MUSCL and 1st-order upwind schemes combined in one framework.•Cascade adaptive solution admissibility criteria for MOOD technique.•The MOOD augmented methods further fortifies high-order methods.•Applied to 2D and 3D compressible multicomponent flow problems.

论文关键词：

论文评审过程：Received 6 July 2022, Revised 26 August 2022, Accepted 8 September 2022, Available online 20 September 2022, Version of Record 20 September 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127544