Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (786kB) | Preview |
Garicano Mena, Jesus and Degrez, Gerard (2019). On the well-posedness of the multi-dimensional Roe-Liu-Vinokur linearization for residual distribution schemes. "Journal of Computational Physics", v. 378 ; pp. 760-769. ISSN 0021-9991. https://doi.org/10.1016/j.jcp.2018.11.007.
Title: | On the well-posedness of the multi-dimensional Roe-Liu-Vinokur linearization for residual distribution schemes |
---|---|
Author/s: |
|
Item Type: | Article |
Título de Revista/Publicación: | Journal of Computational Physics |
Date: | 2019 |
ISSN: | 0021-9991 |
Volume: | 378 |
Subjects: | |
Freetext Keywords: | Computational fluid dynamics; Residual distribution schemes; Roe linearization; Hypersonic flow; Thermo-chemical non-equilibrium; Unstructured grids |
Faculty: | E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM) |
Department: | Matemática Aplicada a la Ingeniería Aeroespacial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (786kB) | Preview |
In reference, Liu and Vinokur proposed an strategy to derive a Roe-like linearization for flows in thermo-chemical non-equilibrium (TCNEQ). In the context of approximated Riemann solvers, being able to determine a Roe-like averaged state Z→avg respecting property U guarantees that a discrete linearized description of the Riemann problem provides a solution consistent with that of the original non-linear problem, i.e., the numerical algorithm can - in the words of Roe - "recognize a shock wave".
Type | Code | Acronym | Leader | Title |
---|---|---|---|---|
Horizon 2020 | 690623 | DRAGY | Centre International de Metodes Numerics en Engyneria | Drag Reduction in Turbulent Boundary Layer via Flow Control |
Item ID: | 67010 |
---|---|
DC Identifier: | https://oa.upm.es/67010/ |
OAI Identifier: | oai:oa.upm.es:67010 |
DOI: | 10.1016/j.jcp.2018.11.007 |
Official URL: | https://www.sciencedirect.com/science/article/pii/S0021999118307253?via%3Dihub#se0020 |
Deposited by: | Memoria Investigacion |
Deposited on: | 11 Jan 2022 09:01 |
Last Modified: | 11 Jan 2022 09:01 |