Volume 53 Issue 3
Sep.  2023
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Tang J, Cui P C, Zhang J, Zhou N C, Wu X J, Gong X Q, Zhang Y B. Review of mesh adaptation for fluid numerical simulation. Advances in Mechanics, 2023, 53(3): 661-692 doi: 10.6052/1000-0992-23-013
Citation: Tang J, Cui P C, Zhang J, Zhou N C, Wu X J, Gong X Q, Zhang Y B. Review of mesh adaptation for fluid numerical simulation. Advances in Mechanics, 2023, 53(3): 661-692 doi: 10.6052/1000-0992-23-013

Review of mesh adaptation for fluid numerical simulation

doi: 10.6052/1000-0992-23-013
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  • Corresponding author: znccxl@foxmail.com
  • Received Date: 2023-03-23
  • Accepted Date: 2023-06-17
  • Available Online: 2023-06-18
  • Publish Date: 2023-09-30
  • Computational mesh is one of the main source of errors in fluid numerical simulation, which greatly affects the accuracy of flow simulation result. Traditional mesh generation strongly depends on user experience, which increases the difficulty of mesh generation for complicated aircraft and increases the uncertainty of aerodynamic characteristics prediction data. Mesh adaptation is a mesh autonomous optimization technology combined with flow characteristics, which can eliminate numerical errors caused by mesh factors through iterative procedure, and can effectively improve the accuracy of aircraft aerodynamics prediction. In recent years, the successful application of mesh adaptation in the high-lift complicated configuration of transport aircraft shows that the adaptation technology has developed to a relatively mature stage. In this paper, for computational fluid dynamics, first of all, the research progress of three key techniques related to mesh adaptation, including error estimation, mesh editing and geometry shape preservation, is systematically summarized, and their parallel implementation techniques are briefly introduced. Secondly, the main applications of mesh adaptation in mesh correlation analysis, flow detail capture, aerodynamics prediction and unsteady flow simulation are introduced. Finally, the future research direction to tackle the existing problems of mesh adaptation are proposed at the end of the paper.

     

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