full
search.png

Search

close.png

Cancel

arrow
Volume 5, Issue 2-4
Efficient Implicit Non-Linear LU-SGS Approach for Compressible Flow Computation Using High-Order Spectral Difference Method

Yuzhi Sun, Z. J. Wang & Yen Liu

Commun. Comput. Phys., 5 (2009), pp. 760-778.

Published online: 2009-02

Preview Full PDF 2175 25312

Cited by

google scholar semantic scholar
Export citation
  • Abstract

An implicit non-linear lower-upper symmetric Gauss-Seidel (LU-SGS) solution algorithm has been developed for a high-order spectral difference Navier-Stokes solver on unstructured hexahedral grids. The non-linear LU-SGS solver is preconditioned by a block element matrix, and the system of equations is then solved with the LU decomposition approach. The large sparse Jacobian matrix is computed numerically, resulting in extremely simple operations for arbitrarily complex residual operators. Several inviscid and viscous test cases were performed to evaluate the performance. The implicit solver has shown speedup of 1 to 2 orders of magnitude over the multi-stage Runge-Kutta time integration scheme. 

  • Keywords

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{CiCP-5-760, author = {}, title = {Efficient Implicit Non-Linear LU-SGS Approach for Compressible Flow Computation Using High-Order Spectral Difference Method}, journal = {Communications in Computational Physics}, year = {2009}, volume = {5}, number = {2-4}, pages = {760--778}, abstract = {

An implicit non-linear lower-upper symmetric Gauss-Seidel (LU-SGS) solution algorithm has been developed for a high-order spectral difference Navier-Stokes solver on unstructured hexahedral grids. The non-linear LU-SGS solver is preconditioned by a block element matrix, and the system of equations is then solved with the LU decomposition approach. The large sparse Jacobian matrix is computed numerically, resulting in extremely simple operations for arbitrarily complex residual operators. Several inviscid and viscous test cases were performed to evaluate the performance. The implicit solver has shown speedup of 1 to 2 orders of magnitude over the multi-stage Runge-Kutta time integration scheme. 

}, issn = {1991-7120}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/cicp/7762.html} }
TY - JOUR T1 - Efficient Implicit Non-Linear LU-SGS Approach for Compressible Flow Computation Using High-Order Spectral Difference Method JO - Communications in Computational Physics VL - 2-4 SP - 760 EP - 778 PY - 2009 DA - 2009/02 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/cicp/7762.html KW - AB -

An implicit non-linear lower-upper symmetric Gauss-Seidel (LU-SGS) solution algorithm has been developed for a high-order spectral difference Navier-Stokes solver on unstructured hexahedral grids. The non-linear LU-SGS solver is preconditioned by a block element matrix, and the system of equations is then solved with the LU decomposition approach. The large sparse Jacobian matrix is computed numerically, resulting in extremely simple operations for arbitrarily complex residual operators. Several inviscid and viscous test cases were performed to evaluate the performance. The implicit solver has shown speedup of 1 to 2 orders of magnitude over the multi-stage Runge-Kutta time integration scheme. 

Yuzhi Sun, Z. J. Wang & Yen Liu. (2020). Efficient Implicit Non-Linear LU-SGS Approach for Compressible Flow Computation Using High-Order Spectral Difference Method. Communications in Computational Physics. 5 (2-4). 760-778. doi:
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard