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An Advection-Robust Hybrid High-Order Method for the Oseen Problem
- Source :
- Journal of Scientific Computing, Journal of Scientific Computing, 2018, 77 (3), pp.1310-1338. ⟨10.1007/s10915-018-0681-2⟩, Journal of Scientific Computing, Springer Verlag, 2018, 77 (3), pp.1310-1338. ⟨10.1007/s10915-018-0681-2⟩
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- International audience; In this work, we study advection-robust Hybrid High-Order discretizations of the Oseen equations. For a given integer $k\ge 0$, the discrete velocity unknowns are vector-valued polynomials of total degree $\le k$ on mesh elements and faces, while the pressure unknowns are discontinuous polynomials of total degree $\le k$ on the mesh. From the discrete unknowns, three relevant quantities are reconstructed inside each element: a velocity of total degree $\le(k+1)$, a discrete advective derivative, and a discrete divergence. These reconstructions are used to formulate the discretizations of the viscous, advective, and velocity-pressure coupling terms, respectively. Well-posedness is ensured through appropriate high-order stabilization terms. We prove energy error estimates that are advection-robust for the velocity, and show that each mesh element $T$ of diameter $h_T$ contributes to the discretization error with an $\mathcal{O}(h_T^{k+1})$-term in the diffusion-dominated regime, an $\mathcal{O}(h_T^{k+\frac12})$-term in the advection-dominated regime, and scales with intermediate powers of $h_T$ in between. Numerical results complete the exposition.
- Subjects :
- Work (thermodynamics)
010103 numerical & computational mathematics
Derivative
01 natural sciences
Theoretical Computer Science
Oseen equations
Integer
65N08, 65N30, 65N12, 76D07
FOS: Mathematics
Mathematics - Numerical Analysis
0101 mathematics
Divergence (statistics)
Hybrid High-Order methods
Mathematics
advection-robust error estimates
Numerical Analysis
Advection
Applied Mathematics
Mathematical analysis
General Engineering
incompressible flows
polyhedral meshes
Numerical Analysis (math.NA)
Coupling (probability)
010101 applied mathematics
Computational Mathematics
Computational Theory and Mathematics
MSC : 65N08, 65N30, 65N12, 76D07
[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Software
Energy (signal processing)
Subjects
Details
- ISSN :
- 15737691 and 08857474
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- Journal of Scientific Computing
- Accession number :
- edsair.doi.dedup.....1e5b05229254b01d8a87b22a52840d5a
- Full Text :
- https://doi.org/10.1007/s10915-018-0681-2