A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions.
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Chakraborty, A; Rangarajan, A; May, G
Published in: World Congress in Computational Mechanics and Eccomas Congress
January 1, 2021
In recent times, Petrov-Galerkin schemes with optimal test function framework have presented themselves as a stable and robust technique for solving partial differential equations. These schemes are also accompanied by an inbuilt error estimator, which makes them an ideal candidate for mesh adaptation. In this paper, we present a metric-based mesh adaptation strategy utilizing this inbuilt error estimator to generate optimal hp meshes.
Duke Scholars
Published In
World Congress in Computational Mechanics and Eccomas Congress
DOI
EISSN
2696-6999
Publication Date
January 1, 2021
Volume
1000
Start / End Page
1 / 12
Citation
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MLA
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Chakraborty, A., Rangarajan, A., & May, G. (2021). A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions. In World Congress in Computational Mechanics and Eccomas Congress (Vol. 1000, pp. 1–12). https://doi.org/10.23967/wccm-eccomas.2020.014
Chakraborty, A., A. Rangarajan, and G. May. “A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions.” In World Congress in Computational Mechanics and Eccomas Congress, 1000:1–12, 2021. https://doi.org/10.23967/wccm-eccomas.2020.014.
Chakraborty A, Rangarajan A, May G. A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions. In: World Congress in Computational Mechanics and Eccomas Congress. 2021. p. 1–12.
Chakraborty, A., et al. “A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions.” World Congress in Computational Mechanics and Eccomas Congress, vol. 1000, 2021, pp. 1–12. Scopus, doi:10.23967/wccm-eccomas.2020.014.
Chakraborty A, Rangarajan A, May G. A residual-based hp-mesh optimization technique for petrov-galerkin schemes with optimal test functions. World Congress in Computational Mechanics and Eccomas Congress. 2021. p. 1–12.
Published In
World Congress in Computational Mechanics and Eccomas Congress
DOI
EISSN
2696-6999
Publication Date
January 1, 2021
Volume
1000
Start / End Page
1 / 12