Numerical Solution of Advection-Diffusion Equation Using Operator Splitting Method
Abstract
In this study, effects of operator splitting methods to the solution of advection-diffusion equation are examined. Within the context of this work two operator splitting methods, Lie-Trotter and Strang splitting methods were used and comparisons were made through various Courant numbers. These methods have been implemented to advection-diffusion equation in one-dimension. Numerical solutions of advection and dispersion processes were carried out by a characteristics method with cubic spline interpolation (MOC-CS) and Crank-Nicolson (CN) finite difference scheme, respectively. Obtained results were compared with analytical solutions of the problems and available methods in the literature. It is seen that MOC-CS-CN method has lower error norm values than the other methods. MOC-CS-CN produces accurate results even while the time steps are great.
Keywords
References
- [1] Srivastava, R., Flow Through Open Channels, Oxford University Press, 2008.
- [2] Baptista, A. E. De M., Solution of Advection-Dominated Transport by Eulerian-Lagrangian Methods Using the Backward Method of Characteristics, Ph.D Thesis, MIT, Cambridge, 1987.
- [3] Holly, F.M, Usseglio‐Polatera, J., Dispersion Simulation in Two‐dimensional Tidal Flow. Journal of Hydraulic Engineering, 110(7), 905–926, 1984.
- [4] Chen, Y., Falconer, R.A., Advection-diffusion modelling using the modified QUICK scheme, International Journal for Numerical Methods in Fluids, 15(10), 1171–1196, 1992.
- [5] Szymkiewicz, R., Solution of the advection-diffusion equation using the spline function and finite elements, Communications in Numerical Methods in Engineering, 9, 197–206, 1993.
- [6] Ahmad, Z., Kothyari, U.C., Time-line cubic spline interpolation scheme for solution of advection equation, Computers and Fluids, 30(6), 737–752, 2001.
- [7] Tsai, T.L., Yang, J.C., Huang, L.H., Characteristics Method Using Cubic–Spline Interpolation for Advection–Diffusion Equation, Journal of Hydraulic Engineering, 130(6), 580–585, 2004.
- [8] Verma, P., Prasad, K.S.H., Ojha, C.S.P., MacCormack scheme based numerical solution of advection-dispersion equation, ISH Journal of Hydraulic Engineering, 12(1), 27-38, 2006.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
December 27, 2017
Submission Date
November 23, 2017
Acceptance Date
December 6, 2017
Published in Issue
Year 2017 Volume: 9 Number: 4
Cited By
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