Numerical investigation of the parabolic mixed-derivative diffusion equation via alternating direction implicit methods

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dc.contributor.authorSathinarain, Melisha
dc.date.accessioned2013-08-07T12:52:27Z
dc.date.available2013-08-07T12:52:27Z
dc.date.issued2013-08-07
dc.descriptionA dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfillment of the requirements for the degree of Master of Science, May 14, 2013.en_ZA
dc.description.abstractIn this dissertation, we investigate the parabolic mixed derivative diffusion equation modeling the viscous and viscoelastic effects in a non-Newtonian viscoelastic fluid. The model is analytically considered using Fourier and Laplace transformations. The main focus of the dissertation, however, is the implementation of the Peaceman-Rachford Alternating Direction Implicit method. The one-dimensional parabolic mixed derivative diffusion equation is extended to a two-dimensional analog. In order to do this, the two-dimensional analog is solved using a Crank-Nicholson method and implemented according to the Peaceman- Rachford ADI method. The behaviour of the solution of the viscoelastic fluid model is analysed by investigating the effects of inertia and diffusion as well as the viscous behaviour, subject to the viscosity and viscoelasticity parameters. The two-dimensional parabolic diffusion equation is then implemented with a high-order method to unveil more accurate solutions. An error analysis is executed to show the accuracy differences between the numerical solutions of the general ADI and high-order compact methods. Each of the methods implemented in this dissertation are investigated via the von-Neumann stability analysis to prove stability under certain conditions.en_ZA
dc.identifier.urihttp://hdl.handle.net/10539/13016
dc.language.isoenen_ZA
dc.subject.lcshHeat equation - Numerical solutions.
dc.subject.lcshDifferential equations, Parabolic.
dc.titleNumerical investigation of the parabolic mixed-derivative diffusion equation via alternating direction implicit methodsen_ZA
dc.typeThesisen_ZA
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