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Error control and adaptivity for low-Mach-number compressible flows

Authors: Murat Sabanca; Gunther Brenner; Franz Durst;

Error control and adaptivity for low-Mach-number compressible flows

Abstract

An error estimation and grid adaptation strategy is presented for low-Mach-number, compressible, isentropic flows in two dimensions. There is very little literature investigating error control and grid refinement strategies combined with low-Mach-number compressible flows simultaneously, although these two concepts have been treated separately. The error control and the refinement procedure is based on the adjoint formulation in which the adjoint function is connected to local residual error, as well as linear variation of the functional with respect to a coarse grid solution. The benefit of the presented local grid refinement strategy based on some prechosen relevant engineering quantity is that it quantifies the specific locations in the domain that most affect the approximation of this quantity while maintaining the computational efficiency. Moreover, this approach is broader in the sense of not requiring a priori knowledge of the flow compared to standard gradient-based or global refinement approaches

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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