An adaptive finite element method for the compressible Euler equations
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
This work develops a stabilized finite element method for the compressible Euler equations and proves an a posteriori error estimate for the approximated solution. The equations are approximated by the cG(1)cG(1) finite element method with continuous piecewise linear functions in space and time. cG(1)cG(1) gives a second order accuracy in space, and corresponds to a Crank-Nicholson type of discretization in time, resulting in second order accuracy in space, without a stabilization term.
The method is stabilized by componentwise weighted least squares stabilization of the convection terms, and residual based shock capturing. This choice of stabilization gives a symmetric stabilization matrix in the discrete system. The method is successfully implemented for a number of benchmark problems in 1D, 2D and 3D. We observe that cG(1)cG(1) with the above choice of stabilization is robust and converges to an accurate solution with residual based adaptive mesh refinement.
We then extend the General Galerkin framework from incompressible to compressible flow, with duality based a posteriori error estimation of some quantity of interest. The quantities of interest can be stresses, strains, drag and lift forces, surface forces or a mean value of some quantity. In this work we prove a duality based a posteriori error estimate for the compressible equations, as an extension of the earlier work for incompressible flow .
The implementation and analysis are validated in computational tests both with respect to the stabilization and the duality based adaptation
Place, publisher, year, edition, pages
Stockholm: KTH , 2009. , xii, 39 p.
Trita-CSC-A, ISSN 1653-5723 ; 2009:13
IdentifiersURN: urn:nbn:se:kth:diva-10582ISBN: 978-91-7415-365-1OAI: oai:DiVA.org:kth-10582DiVA: diva2:219786
2009-06-10, D42, KTH, Lindstedtsvägen 5, Plan 4, Stockholm, 14:15 (English)
Larsson, Mats, Professor
Hoffman, Johan, Docent
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