Adjoint-based adaptive mesh refinement for complex geometries. Nemec, M., Aftosmis, M., J., & Wintzer, M. In 46th AIAA Aerospace Sciences Meeting and Exhibit, 2008.
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Paper doi abstract bibtex
Paper doi abstract bibtex This paper examines the robustness and efficiency of an adjoint-based mesh adaptation method for problems with complicated geometries. The method is used to drive cell refinement in an embedded-boundary Cartesian mesh approach for the solution of the three-dimensional Euler equations. Detailed studies of error distributions and the evolution of cell-wise error histograms with mesh refinement are used to formulate an adaptation strategy that minimizes the run-time of the flow simulation. The effectiveness of this methodology for controlling discretization errors in engineering functionals of nonsmooth problems is demonstrated using several test cases in two and three dimensions. The test cases include a model problem for sonic-boom applications and parametric studies of launch-vehicle configurations over a wide range of flight conditions. The results show that the method is well-suited for the generation of aerodynamic databases of prescribed quality without user intervention.
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title = {Adjoint-based adaptive mesh refinement for complex geometries},
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abstract = {This paper examines the robustness and efficiency of an adjoint-based mesh adaptation method for problems with complicated geometries. The method is used to drive cell refinement in an embedded-boundary Cartesian mesh approach for the solution of the three-dimensional Euler equations. Detailed studies of error distributions and the evolution of cell-wise error histograms with mesh refinement are used to formulate an adaptation strategy that minimizes the run-time of the flow simulation. The effectiveness of this methodology for controlling discretization errors in engineering functionals of nonsmooth problems is demonstrated using several test cases in two and three dimensions. The test cases include a model problem for sonic-boom applications and parametric studies of launch-vehicle configurations over a wide range of flight conditions. The results show that the method is well-suited for the generation of aerodynamic databases of prescribed quality without user intervention.},
bibtype = {inproceedings},
author = {Nemec, Marian and Aftosmis, Michael J. and Wintzer, Mathias},
doi = {10.2514/6.2008-725},
booktitle = {46th AIAA Aerospace Sciences Meeting and Exhibit}
}Downloads: 0
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