Research Article
BibTex RIS Cite

A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation

Year 2022, Volume: 8 Issue: 1, 45 - 53, 10.03.2022
https://doi.org/10.28979/jarnas.985946

Abstract

This study presents a simulator to obtain numerical solution of convection-diffusion equation. It includes explicit, fully implicit and semi-implicit time discretization techniques. Although the explicit method is efficient for some simple conduction problems, it needs stability criteria. Otherwise, it is unstable especially for high Courant number and large time step size. When using the explicit method, the time step size is chosen with care to get well-posed numerical solution. This requirement sets a serious constraint for the explicit method because choosing small time step size causes the simulation time to become quite long. Even though the implicit method is stable for large time step size and high Courant number, it leads to numerical dispersion like the explicit method. On the other hand, second-order accurate semi-implicit method significantly reduces numerical dispersion. In addition to time discretization techniques, this simulator contains several space discretization methods such as first-order upstream and UMIST (University of Manchester Institute of Science and Technology) techniques. The proposed numerical simulator is suitable for easily using the different combinations of time and space discretization methods. Secondly, this study is to propose the use of semi-implicit time discretization technique with UMIST space discretization method to minimize numerical dispersion and suppress unphysical oscillation. In spite of the fact that the UMIST method suppresses unphysical oscillation, it causes a small and undesired oscillation at flood front for very large Courant number. Third objective of this study is to propose minor modification on the UMIST method to eliminate this unphysical oscillation.

References

  • Crank, J., & Nicolson, P. (1947, January). A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 43, No. 1, pp. 50-67). Cambridge University Press.
  • Ertekin, T., Abou-Kassem, J. H., & King, G. R. (2001). Basic applied reservoir simulation (Vol. 7). Richardson, TX: Society of Petroleum Engineers.
  • Harten, A. (1984). On a class of high resolution total-variation-stable finite-difference schemes. SIAM Journal on Numerical Analysis, 21(1), 1-23.
  • Kamalyar, K., Kharrat, R., & Nikbakht, M. (2014). Numerical Aspects of the Convection–Dispersion Equation. Petroleum science and technology, 32(14), 1729-1762.
  • Kurganov, A., & Tadmor, E. (2000). New high-resolution central schemes for nonlinear conservation laws and convection–diffusion equations. Journal of Computational Physics, 160(1), 241-282.
  • Leonard, B. P. (1979). A stable and accurate convective modelling procedure based on quadratic upstream interpolation. Computer methods in applied mechanics and engineering, 19(1), 59-98.
  • Morton, K. W. (2019). Numerical solution of convection-diffusion problems. CRC Press.
  • Peaceman, D. W. (2000). Fundamentals of numerical reservoir simulation. Elsevier.
  • Peng, Y., Liu, C., & Shi, L. (2013, August). Soution of Convection-Diffusion Equations. In International Conference on Information Computing and Applications (pp. 546-555). Springer, Berlin, Heidelberg.
  • Sarra, S. A. (2003). The method of characteristics with applications to conservation laws. Journal of Online mathematics and its Applications, 3, 1-16.
  • Sweby, P. K. (1984). High resolution schemes using flux limiters for hyperbolic conservation laws. SIAM journal on numerical analysis, 21(5), 995-1011.
  • Versteeg, H. K., & Malalasekera, W. (2007). An introduction to computational fluid dynamics: the finite volume method. Pearson education.
  • Wolcott, D. S., Kazemi, H., & Dean, R. H. (1996, October). A practical method for minimizing the grid orientation effect in reservoir simulation. In SPE annual technical conference and exhibition. OnePetro.
Year 2022, Volume: 8 Issue: 1, 45 - 53, 10.03.2022
https://doi.org/10.28979/jarnas.985946

Abstract

References

  • Crank, J., & Nicolson, P. (1947, January). A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 43, No. 1, pp. 50-67). Cambridge University Press.
  • Ertekin, T., Abou-Kassem, J. H., & King, G. R. (2001). Basic applied reservoir simulation (Vol. 7). Richardson, TX: Society of Petroleum Engineers.
  • Harten, A. (1984). On a class of high resolution total-variation-stable finite-difference schemes. SIAM Journal on Numerical Analysis, 21(1), 1-23.
  • Kamalyar, K., Kharrat, R., & Nikbakht, M. (2014). Numerical Aspects of the Convection–Dispersion Equation. Petroleum science and technology, 32(14), 1729-1762.
  • Kurganov, A., & Tadmor, E. (2000). New high-resolution central schemes for nonlinear conservation laws and convection–diffusion equations. Journal of Computational Physics, 160(1), 241-282.
  • Leonard, B. P. (1979). A stable and accurate convective modelling procedure based on quadratic upstream interpolation. Computer methods in applied mechanics and engineering, 19(1), 59-98.
  • Morton, K. W. (2019). Numerical solution of convection-diffusion problems. CRC Press.
  • Peaceman, D. W. (2000). Fundamentals of numerical reservoir simulation. Elsevier.
  • Peng, Y., Liu, C., & Shi, L. (2013, August). Soution of Convection-Diffusion Equations. In International Conference on Information Computing and Applications (pp. 546-555). Springer, Berlin, Heidelberg.
  • Sarra, S. A. (2003). The method of characteristics with applications to conservation laws. Journal of Online mathematics and its Applications, 3, 1-16.
  • Sweby, P. K. (1984). High resolution schemes using flux limiters for hyperbolic conservation laws. SIAM journal on numerical analysis, 21(5), 995-1011.
  • Versteeg, H. K., & Malalasekera, W. (2007). An introduction to computational fluid dynamics: the finite volume method. Pearson education.
  • Wolcott, D. S., Kazemi, H., & Dean, R. H. (1996, October). A practical method for minimizing the grid orientation effect in reservoir simulation. In SPE annual technical conference and exhibition. OnePetro.
There are 13 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Makaleler
Authors

Osman Ünal 0000-0003-1101-6561

Early Pub Date March 10, 2022
Publication Date March 10, 2022
Submission Date August 22, 2021
Published in Issue Year 2022 Volume: 8 Issue: 1

Cite

APA Ünal, O. (2022). A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation. Journal of Advanced Research in Natural and Applied Sciences, 8(1), 45-53. https://doi.org/10.28979/jarnas.985946
AMA Ünal O. A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation. JARNAS. March 2022;8(1):45-53. doi:10.28979/jarnas.985946
Chicago Ünal, Osman. “A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation”. Journal of Advanced Research in Natural and Applied Sciences 8, no. 1 (March 2022): 45-53. https://doi.org/10.28979/jarnas.985946.
EndNote Ünal O (March 1, 2022) A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation. Journal of Advanced Research in Natural and Applied Sciences 8 1 45–53.
IEEE O. Ünal, “A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation”, JARNAS, vol. 8, no. 1, pp. 45–53, 2022, doi: 10.28979/jarnas.985946.
ISNAD Ünal, Osman. “A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation”. Journal of Advanced Research in Natural and Applied Sciences 8/1 (March 2022), 45-53. https://doi.org/10.28979/jarnas.985946.
JAMA Ünal O. A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation. JARNAS. 2022;8:45–53.
MLA Ünal, Osman. “A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation”. Journal of Advanced Research in Natural and Applied Sciences, vol. 8, no. 1, 2022, pp. 45-53, doi:10.28979/jarnas.985946.
Vancouver Ünal O. A Stable and High Accurate Numerical Simulator for Convection-Diffusion Equation. JARNAS. 2022;8(1):45-53.


TR Dizin 20466




Academindex 30370    

SOBİAD 20460               

Scilit 30371                        

29804 As of 2024, JARNAS is licensed under a Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC).