Summary
When an adaptive method in computational fluid dynamics is used, it is necessary to formulate appropriate refinement criteria. Usually the discretization is adapted using the magnitude of the gradient of a “physically relevant” variable. In this paper a different approach is presented. Looking closely at the features of the different flow phenomena, sensors can be derived, that are able to detect and distinguish the relevant flow phenomena. Although problems arise with the detection of weak phenomena on coarse grids, remarkable improvements can be observed compared to the standard indicators.
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© 1992 Springer Fachmedien Wiesbaden
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Fischer, J. (1992). Sensors for Self-Adapting Grid Generation in Viscous Flow Computations. In: Vos, J.B., Rizzi, A., Ryhming, I.L. (eds) Proceedings of the Ninth GAMM-Conference on Numerical Methods in Fluid Mechanics. Notes on Numerical Fluid Mechanics (NNFM), vol 35. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-663-13974-4_35
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DOI: https://doi.org/10.1007/978-3-663-13974-4_35
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
Print ISBN: 978-3-528-07635-1
Online ISBN: 978-3-663-13974-4
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