2019
DOI: 10.1016/j.jcp.2018.09.016
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Shock capturing for discontinuous Galerkin methods with application to predicting heat transfer in hypersonic flows

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Cited by 75 publications
(33 citation statements)
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“…Finally, a scalable preconditioning strategy will need to be developed in order to solve large‐scale problems using an iterative linear solver for which a direct solver is prohibitively expensive. Improved grid modifications, including local adaptivity, smoothing, and untangling, as well as scalable linear solvers will enable MDG‐ICE to be applied to three‐dimensional problems that include shock‐boundary layer interactions and validated against both experimental data and previously reported results 101‐103 …”
Section: Discussionmentioning
confidence: 99%
“…Finally, a scalable preconditioning strategy will need to be developed in order to solve large‐scale problems using an iterative linear solver for which a direct solver is prohibitively expensive. Improved grid modifications, including local adaptivity, smoothing, and untangling, as well as scalable linear solvers will enable MDG‐ICE to be applied to three‐dimensional problems that include shock‐boundary layer interactions and validated against both experimental data and previously reported results 101‐103 …”
Section: Discussionmentioning
confidence: 99%
“…To evaluate integrals, we use standard Gaussian quadrature with an order of accuracy no less than 2p + 1, where p is the user-prescribed order of the Lagrange polynomials. To capture shocks, intraelement pressure variations are used for shock detection while smooth artificial viscosity is used for stabilization [11].…”
Section: B Discontinuous Galerkin Discretizationmentioning
confidence: 99%
“…It is important to note that these choices involving the element type, basis functions, and approximation of inner products all have a major impact on the performance of the resulting DG scheme in terms of computational complexity and robustness due, e.g., to the presence of spurious oscillations near discontinuities that result in unphysical solution states (like negative density or pressure) or aliasing instabilities. Many mechanisms exist in the DG community to combat spurious oscillations (i.e., shock capturing) such as slope [3,5,35] or WENO [36,37] limiters, filtering [29,38,39], finite volume sub-cells [40][41][42], MOOD-type limiting [43][44][45][46][47], or artificial viscosity [48,49]. The issue of shock capturing will not be discussed further.…”
Section: A Brief Introduction To Dgmentioning
confidence: 99%