Title of article :
An element-wise, locally conservative Galerkin (LCG) method for solving diffusion and convection-diffusion problems
Author/Authors :
C. G. Thomas، نويسنده , , P. Nithiarasu، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
An element-wise locally conservative Galerkin (LCG) method is employed to solve the conservation
equations of diffusion and convection–diffusion. This approach allows the system of simultaneous equations
to be solved over each element. Thus, the traditional assembly of elemental contributions into a global
matrix system is avoided. This simplifies the calculation procedure over the standard global (continuous)
Galerkin method, in addition to explicitly establishing element-wise flux conservation. In the LCG method,
elements are treated as sub-domains with weakly imposed Neumann boundary conditions. The LCG method
obtains a continuous and unique nodal solution from the surrounding element contributions via averaging.
It is also shown in this paper that the proposed LCG method is identical to the standard global Galerkin
(GG) method, at both steady and unsteady states, for an inside node. Thus, the method, has all the
advantages of the standard GG method while explicitly conserving fluxes over each element.
Several problems of diffusion and convection–diffusion are solved on both structured and unstructured
grids to demonstrate the accuracy and robustness of the LCG method. Both linear and quadratic elements
are used in the calculations. For convection-dominated problems, Petrov–Galerkin weighting and highorder
characteristic-based temporal schemes have been implemented into the LCG formulation. Copyright
q 2007 John Wiley & Sons, Ltd
Keywords :
explicit local flux conservation , Heat conduction , SUPG , linear and quadratic finite elements , element-by-element solution , convection–diffusion , characteristic-Galerkin
Journal title :
International Journal for Numerical Methods in Engineering
Journal title :
International Journal for Numerical Methods in Engineering