Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations

Adjoint-Based Adaptive Isogeometric Discontinuous Galerkin Method for Euler Equations

Year:    2018

Author:    Shengjiao Yu, Renzhong Feng, Huiqiang Yue, Zheng Wang, Tiegang Liu

Advances in Applied Mathematics and Mechanics, Vol. 10 (2018), Iss. 3 : pp. 652–672

Abstract

In this work, 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 Bézier 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.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2017-0046

Advances in Applied Mathematics and Mechanics, Vol. 10 (2018), Iss. 3 : pp. 652–672

Published online:    2018-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

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

Author Details

Shengjiao Yu

Renzhong Feng

Huiqiang Yue

Zheng Wang

Tiegang Liu

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