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Volume 12, Issue 1
Improving the High Order Spectral Volume Formulation Using a Diffusion Regulator

Ravi Kannan & Zhijian Wang

Commun. Comput. Phys., 12 (2012), pp. 247-260.

Published online: 2012-12

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  • Abstract

The concept of diffusion regulation (DR) was originally proposed by Jaisankar for traditional second order finite volume Euler solvers. This was used to decrease the inherent dissipation associated with using approximate Riemann solvers. In this paper, the above concept is extended to the high order spectral volume (SV) method. The DR formulation was used in conjunction with the Rusanov flux to handle the inviscid flux terms. Numerical experiments were conducted to compare and contrast the original and the DR formulations. These experiments demonstrated (i) retention of high order accuracy for the new formulation, (ii) higher fidelity of the DR formulation, when compared to the original scheme for all orders and (iii) straightforward extension to Navier Stokes equations, since the DR does not interfere with the discretization of the viscous fluxes. In general, the 2D numerical results are very promising and indicate that the approach has a great potential for 3D flow problems.

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@Article{CiCP-12-247, author = {Ravi Kannan and Zhijian Wang}, title = {Improving the High Order Spectral Volume Formulation Using a Diffusion Regulator}, journal = {Communications in Computational Physics}, year = {2012}, volume = {12}, number = {1}, pages = {247--260}, abstract = {

The concept of diffusion regulation (DR) was originally proposed by Jaisankar for traditional second order finite volume Euler solvers. This was used to decrease the inherent dissipation associated with using approximate Riemann solvers. In this paper, the above concept is extended to the high order spectral volume (SV) method. The DR formulation was used in conjunction with the Rusanov flux to handle the inviscid flux terms. Numerical experiments were conducted to compare and contrast the original and the DR formulations. These experiments demonstrated (i) retention of high order accuracy for the new formulation, (ii) higher fidelity of the DR formulation, when compared to the original scheme for all orders and (iii) straightforward extension to Navier Stokes equations, since the DR does not interfere with the discretization of the viscous fluxes. In general, the 2D numerical results are very promising and indicate that the approach has a great potential for 3D flow problems.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.270311.060711a}, url = {http://global-sci.org/intro/article_detail/cicp/7291.html} }
TY - JOUR T1 - Improving the High Order Spectral Volume Formulation Using a Diffusion Regulator AU - Ravi Kannan & Zhijian Wang JO - Communications in Computational Physics VL - 1 SP - 247 EP - 260 PY - 2012 DA - 2012/12 SN - 12 DO - http://doi.org/10.4208/cicp.270311.060711a UR - https://global-sci.org/intro/article_detail/cicp/7291.html KW - AB -

The concept of diffusion regulation (DR) was originally proposed by Jaisankar for traditional second order finite volume Euler solvers. This was used to decrease the inherent dissipation associated with using approximate Riemann solvers. In this paper, the above concept is extended to the high order spectral volume (SV) method. The DR formulation was used in conjunction with the Rusanov flux to handle the inviscid flux terms. Numerical experiments were conducted to compare and contrast the original and the DR formulations. These experiments demonstrated (i) retention of high order accuracy for the new formulation, (ii) higher fidelity of the DR formulation, when compared to the original scheme for all orders and (iii) straightforward extension to Navier Stokes equations, since the DR does not interfere with the discretization of the viscous fluxes. In general, the 2D numerical results are very promising and indicate that the approach has a great potential for 3D flow problems.

Ravi Kannan and Zhijian Wang. (2012). Improving the High Order Spectral Volume Formulation Using a Diffusion Regulator. Communications in Computational Physics. 12 (1). 247-260. doi:10.4208/cicp.270311.060711a
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