arrow
Volume 13, Issue 2
Stability and Convergence of Stabilized Finite Volume Iterative Methods for Steady Incompressible MHD Flows with Different Viscosities

Xiaochen Chu, Chuanjun Chen & Tong Zhang

East Asian J. Appl. Math., 13 (2023), pp. 361-397.

Published online: 2023-04

Export citation
  • Abstract

Three finite volume iterative schemes for steady incompressible magnetohydrodynamic problems are studied. The theoretical analysis of finite volume methods is more challenging than that of finite element methods because of the presence of a trilinear form and the difficulties with the treatment of nonlinear terms. Nevertheless, we prove the uniform stability of the methods and establish error estimates. It is worth noting that the Newton iterative scheme converges exponentially under viscosity related requirements, while the Oseen iterative method is unconditionally stable and convergent under the uniqueness condition. Some numerical examples confirm the theoretical findings and demonstrate a good performance of the methods under consideration.

  • AMS Subject Headings

65M10, 65N30, 76Q10

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{EAJAM-13-361, author = {Chu , XiaochenChen , Chuanjun and Zhang , Tong}, title = {Stability and Convergence of Stabilized Finite Volume Iterative Methods for Steady Incompressible MHD Flows with Different Viscosities}, journal = {East Asian Journal on Applied Mathematics}, year = {2023}, volume = {13}, number = {2}, pages = {361--397}, abstract = {

Three finite volume iterative schemes for steady incompressible magnetohydrodynamic problems are studied. The theoretical analysis of finite volume methods is more challenging than that of finite element methods because of the presence of a trilinear form and the difficulties with the treatment of nonlinear terms. Nevertheless, we prove the uniform stability of the methods and establish error estimates. It is worth noting that the Newton iterative scheme converges exponentially under viscosity related requirements, while the Oseen iterative method is unconditionally stable and convergent under the uniqueness condition. Some numerical examples confirm the theoretical findings and demonstrate a good performance of the methods under consideration.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.2022-204.241022}, url = {http://global-sci.org/intro/article_detail/eajam/21653.html} }
TY - JOUR T1 - Stability and Convergence of Stabilized Finite Volume Iterative Methods for Steady Incompressible MHD Flows with Different Viscosities AU - Chu , Xiaochen AU - Chen , Chuanjun AU - Zhang , Tong JO - East Asian Journal on Applied Mathematics VL - 2 SP - 361 EP - 397 PY - 2023 DA - 2023/04 SN - 13 DO - http://doi.org/10.4208/eajam.2022-204.241022 UR - https://global-sci.org/intro/article_detail/eajam/21653.html KW - Incompressible MHD equation, finite volume method, $L^2$-projection, iterative scheme. AB -

Three finite volume iterative schemes for steady incompressible magnetohydrodynamic problems are studied. The theoretical analysis of finite volume methods is more challenging than that of finite element methods because of the presence of a trilinear form and the difficulties with the treatment of nonlinear terms. Nevertheless, we prove the uniform stability of the methods and establish error estimates. It is worth noting that the Newton iterative scheme converges exponentially under viscosity related requirements, while the Oseen iterative method is unconditionally stable and convergent under the uniqueness condition. Some numerical examples confirm the theoretical findings and demonstrate a good performance of the methods under consideration.

Xiaochen Chu, Chuanjun Chen & Tong Zhang. (2023). Stability and Convergence of Stabilized Finite Volume Iterative Methods for Steady Incompressible MHD Flows with Different Viscosities. East Asian Journal on Applied Mathematics. 13 (2). 361-397. doi:10.4208/eajam.2022-204.241022
Copy to clipboard
The citation has been copied to your clipboard