2018
DOI: 10.1016/j.jcp.2018.02.031
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Analysis and development of adjoint-based h-adaptive direct discontinuous Galerkin method for the compressible Navier–Stokes equations

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Cited by 8 publications
(5 citation statements)
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“…where q  denotes the numerical heat flux across the interface. Based on the DG method, many approaches, such as the interior penalty method (Douglas et al 1976;Arnold 1982), symmetric interior penalty method (Hartmann & Houston 2008), local DG method (Cockburn & Shu 1998), the first Bassi-Rebay (BR1) scheme (Bassi & Rebay 1997), the second Bassi-Rebay (BR2) scheme (Bassi et al 2005), compact DG method (Peraire & Persson 2008), hybridizable DG method (Cockburn et al 2009;Nguyen et al 2009), recovery-based DG method (van Leer et al 2007, rDG method (Luo et al 2010), and the DDG method (Liu & Yan 2009, 2010Cheng et al 2016Cheng et al , 2017Cheng et al , 2018, have been proposed to deal with the problems requiring the evaluation of the solution derivatives at a cell interface. In our work, we attempt to employ the DDG method to evaluate our heat flux in Equation (65) because of its simplicity in implementation and efficiency in computational cost.…”
Section: Ddg Discretization Of the Heat Fluxmentioning
confidence: 99%
“…where q  denotes the numerical heat flux across the interface. Based on the DG method, many approaches, such as the interior penalty method (Douglas et al 1976;Arnold 1982), symmetric interior penalty method (Hartmann & Houston 2008), local DG method (Cockburn & Shu 1998), the first Bassi-Rebay (BR1) scheme (Bassi & Rebay 1997), the second Bassi-Rebay (BR2) scheme (Bassi et al 2005), compact DG method (Peraire & Persson 2008), hybridizable DG method (Cockburn et al 2009;Nguyen et al 2009), recovery-based DG method (van Leer et al 2007, rDG method (Luo et al 2010), and the DDG method (Liu & Yan 2009, 2010Cheng et al 2016Cheng et al , 2017Cheng et al , 2018, have been proposed to deal with the problems requiring the evaluation of the solution derivatives at a cell interface. In our work, we attempt to employ the DDG method to evaluate our heat flux in Equation (65) because of its simplicity in implementation and efficiency in computational cost.…”
Section: Ddg Discretization Of the Heat Fluxmentioning
confidence: 99%
“…Then, it is combined with the simple numerical flux formula of the direct DG method to approximate the gradient of conserved variables. In summary, the new DDGIC method defines multiple individual diffusion processes, each of which is combined to calculate the viscous numerical fluxes for 2-D compressible NS equations as (21) + ∇(ρu) h • ξ (22) + ∇(ρv) h • ξ (23) ∇ρ h • ξ (31) + ∇(ρu) h • ξ (32) + ∇(ρv) h • ξ (33) ∇ρ h • ξ (41) + ∇(ρu) h • ξ (42) + ∇(ρv) h • ξ (43)…”
Section: The New Ddgic Scheme Formulation For 2-d Compressible Navier...mentioning
confidence: 99%
“…Similarly, the interface correction term can be simplified and computed as follows (21) + (ρu) h ξ (22) + (ρv) h ξ (23) • ∇φ j (x, y) ρ h ξ (31) + (ρu) h ξ (32) + (ρv) h ξ (33) • ∇φ j (x, y) ρ h ξ (41) + (ρu) h ξ (42) + (ρv) h ξ (43) + E h ξ (44) • ∇φ j (x, y)…”
Section: The New Ddgic Scheme Formulation For 2-d Compressible Navier...mentioning
confidence: 99%
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“…For the viscous term, we compute it by using the direct DG (DDG) method, which was first introduced by Liu and Yan to solve diffusion problems by applying the direct weak formulation for solutions of parabolic equations and then successfully extended by Cheng et al for the discretization of the viscous and heat fluxes in the two‐ and three‐dimensional compressible Navier‐Stokes equations. Due to the numerical flux defined by the DDG method that is simple, compact, conservative, and consistent, it provides an attractive advantage in the discretization of the viscous terms of the Navier‐Stokes equations.…”
Section: Introductionmentioning
confidence: 99%