Volume 10, Issue 3
Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations

Shengjiao Yu, Renzhong Feng, Huiqiang Yue, Zheng Wang & Tiegang Liu

Adv. Appl. Math. Mech., 10 (2018), pp. 652-672.

Published online: 2018-10

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  • Abstract

In thiswork, an adjoint-based adaptive isogeometric discontinuous Galerkin method is developed for Euler equations. Firstly, the solution space used in DG on each cell is constructed with the locally owned geometric representation by the isogeometric concept. Then the local h-refinement is applied directly through Bezier decomposition, without the restrictions of tensor product nature or basis function support. Furthermore, the adjoint-based error estimator is employed to enhance the estimation of practical engineering outputs. With the isogeometric concept, a novel and natural adjoint space is proposed for the associated discrete adjoint problem. Several numerical examples are selected to demonstrate its ability of handling curved geometry, capturing shocks as well as efficiency in reducing the computational cost in comparison to uniform mesh refinement.

  • Keywords

Discontinuous Galerkin, isogeometric analysis, adjoint-based error estimation, adaptive refinement, Euler equations.

  • AMS Subject Headings

65M60, 76M10

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{AAMM-10-652, author = {}, title = {Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations}, journal = {Advances in Applied Mathematics and Mechanics}, year = {2018}, volume = {10}, number = {3}, pages = {652--672}, abstract = {In thiswork, an adjoint-based adaptive isogeometric discontinuous Galerkin method is developed for Euler equations. Firstly, the solution space used in DG on each cell is constructed with the locally owned geometric representation by the isogeometric concept. Then the local h-refinement is applied directly through Bezier decomposition, without the restrictions of tensor product nature or basis function support. Furthermore, the adjoint-based error estimator is employed to enhance the estimation of practical engineering outputs. With the isogeometric concept, a novel and natural adjoint space is proposed for the associated discrete adjoint problem. Several numerical examples are selected to demonstrate its ability of handling curved geometry, capturing shocks as well as efficiency in reducing the computational cost in comparison to uniform mesh refinement.}, issn = {2075-1354}, doi = {https://doi.org/10.4208/aamm.OA-2017-0046}, url = {http://global-sci.org/intro/article_detail/aamm/12229.html} }
TY - JOUR T1 - Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations JO - Advances in Applied Mathematics and Mechanics VL - 3 SP - 652 EP - 672 PY - 2018 DA - 2018/10 SN - 10 DO - http://dor.org/10.4208/aamm.OA-2017-0046 UR - https://global-sci.org/intro/aamm/12229.html KW - Discontinuous Galerkin, isogeometric analysis, adjoint-based error estimation, adaptive refinement, Euler equations. AB - In thiswork, an adjoint-based adaptive isogeometric discontinuous Galerkin method is developed for Euler equations. Firstly, the solution space used in DG on each cell is constructed with the locally owned geometric representation by the isogeometric concept. Then the local h-refinement is applied directly through Bezier decomposition, without the restrictions of tensor product nature or basis function support. Furthermore, the adjoint-based error estimator is employed to enhance the estimation of practical engineering outputs. With the isogeometric concept, a novel and natural adjoint space is proposed for the associated discrete adjoint problem. Several numerical examples are selected to demonstrate its ability of handling curved geometry, capturing shocks as well as efficiency in reducing the computational cost in comparison to uniform mesh refinement.
Shengjiao Yu, Renzhong Feng, Huiqiang Yue, Zheng Wang & Tiegang Liu. (2020). Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations. Advances in Applied Mathematics and Mechanics. 10 (3). 652-672. doi:10.4208/aamm.OA-2017-0046
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