Error Analysis of the Classical Artificial Diffusion Weak Galerkin Finite Element Method for the steady state- convection diffusion-reaction Equation in 2-D

Authors

  • Ibtihal Ahmed Abd Department of mathematics, college of education for pure sciences, university of Basrah, Basrah, Iraq
  • Hashim A . Kashkool Department of mathematics, college of education for pure sciences, university of Basrah, Basrah, Iraq

DOI:

https://doi.org/10.54153/sjpas.2024.v6i2.893

Keywords:

Classical artificial diffusion, Convection Diffusion Reaction problem,Error analysis, stability

Abstract

In this study, we modified the error in the weak Galerkin method when solving problems in which diffusion is the dominant convection( h) in two dimensions. This is done by adding the artificial diffusion term (-δΔw, where δ=h-ϵ). The finite element method for discrete functions using a weakly defined gradient operator is presented in this study. The concept of the weak discrete gradient is introduced, which plays an important role when using numerical methods to solve partial differential equations. The goal of this study is to enhance the accuracy and stability of the solutions by studying the ellipticity and stability properties of the method, which works to ensure that the numerical method retains the properties of the original equation while reducing the fluctuations occurring with the weak galerkin finite element method. Specific theories have been used to estimate the error in parameters -norm, and . Practical examples demonstrate how this method improves the handling of partial equations characterized by convection-dominated diffusion, enhancing its potential for advancing numerical simulations in engineering and physics.

Downloads

Published

2024-06-30

How to Cite

Ahmed Abd, I., & A . Kashkool, H. (2024). Error Analysis of the Classical Artificial Diffusion Weak Galerkin Finite Element Method for the steady state- convection diffusion-reaction Equation in 2-D. Samarra Journal of Pure and Applied Science, 6(2), 276–288. https://doi.org/10.54153/sjpas.2024.v6i2.893