Verification of a three-dimensional unstructured finite element method using analytic and manufactured solutions

•We present verification results for a 3D unstructured finite element method.•Our methodology employs a combination of analytic and manufactured solutions.•Shock-dominated flows show global convergence rates of 0.8–1.0.•Smooth problems show global convergence rates of 1.9–2.4.•The impact of these re...

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Veröffentlicht in:Computers & fluids 2013-07, Vol.81, p.57-67
Hauptverfasser: Waltz, J., Canfield, T.R., Morgan, N.R., Risinger, L.D., Wohlbier, J.G.
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Sprache:eng
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Zusammenfassung:•We present verification results for a 3D unstructured finite element method.•Our methodology employs a combination of analytic and manufactured solutions.•Shock-dominated flows show global convergence rates of 0.8–1.0.•Smooth problems show global convergence rates of 1.9–2.4.•The impact of these results on simulation practices is described. We report on the verification of a three-dimensional unstructured finite element method applicable to compressible fluid dynamics and diffusion problems. Our verification methodology uses a combination of analytic and manufactured solutions to formally measure convergence rates in global error for both shock-dominated flows and smooth problems. In addition we measure the global error in vorticity, which should converge at reduced-order relative to the velocity solution. The numerical method under investigation is an edge-based Finite Element formulation on linear tetrahedra with a parabolic MUSCL reconstruction for the advective fluxes. The scheme is nominally second-order accurate on smooth flows. For diffusion problems the formulation also is nominally second-order accurate. Using global error analysis we measure convergence rates of 0.8–1.0 for shock-dominated problems and 1.5–2.4 for smooth problems. Calculations with Adaptive Mesh Refinement (AMR) are observed to produce errors comparable to finer mesh simulations but at significantly reduced computational cost. A convergence rate of 2.2 also is observed for a simplified diffusion problem. Examples of how these studies can inform simulation practices are provided.
ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2013.03.025