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Local-maximum-and-minimum-preserving solution remapping technique to accelerate flow convergence for discontinuous Galerkin methods in shape optimization design - MaRDI portal

Local-maximum-and-minimum-preserving solution remapping technique to accelerate flow convergence for discontinuous Galerkin methods in shape optimization design (Q2028539)

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scientific article; zbMATH DE number 7353295
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English
Local-maximum-and-minimum-preserving solution remapping technique to accelerate flow convergence for discontinuous Galerkin methods in shape optimization design
scientific article; zbMATH DE number 7353295

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    Local-maximum-and-minimum-preserving solution remapping technique to accelerate flow convergence for discontinuous Galerkin methods in shape optimization design (English)
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    1 June 2021
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    This article discusses a remapping technique for high-order Discontinuous Galerkin methods to reduce the computational cost of the flow simulations. The proposed technique is applied to a transonic airfoil drag minimization problem and an airfoil inverse design problem where high-order DG solvers are employed for flow simulations of the intermediate shapes.
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    solution remapping technique
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    discontinuous Galerkin method
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    flow convergence
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    aerodynamic shape optimization
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