Date of Award:
5-2014
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Mathematics and Statistics
Committee Chair(s)
Josheph V. Koebbe
Committee
Josheph V. Koebbe
Committee
Jim Powell
Committee
Brynja Kohler
Committee
Nghiem Nguyen
Committee
Eric Held
Abstract
Physically based preconditioning is applied to linear systems resulting from solving the first order formulation of the particle transport equation and from solving the homogenized form of the simple flow equation for porous media flows. The first order formulation of the particle transport equation is solved two ways. The first uses a least squares finite element method resulting in a symmetric positive definite linear system which is solved by a preconditioned conjugate gradient method. The second uses a discontinuous finite element method resulting in a non-symmetric linear system which is solved by a preconditioned biconjugate gradient stabilized method. The flow equation is solved using a mixed finite element method. Specifically four levels of improvement are applied: homogenization of the porous media domain, a projection method for the mixed finite element method which simplifies the linear system, physically based preconditioning, and implementation of the linear solver in parallel on graphic processing units. The conjugate gradient linear solver for the least squares finite element method is also applied in parallel on graphics processing units. The physically based preconditioner is shown to perform well in each case, in relation to speed-ups gained and as compared with several algebraic preconditioners.
Checksum
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Recommended Citation
Rigley, Michael, "Physically Based Preconditioning Techniques Applied to the First Order Particle Transport and to Fluid Transport in Porous Media" (2014). All Graduate Theses and Dissertations. 2160.
https://digitalcommons.usu.edu/etd/2160
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