T
Todd Arbogast
Researcher at University of Texas at Austin
Publications - 101
Citations - 5107
Todd Arbogast is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Finite element method & Mixed finite element method. The author has an hindex of 32, co-authored 96 publications receiving 4745 citations. Previous affiliations of Todd Arbogast include Purdue University & University of Texas System.
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Derivation of the double porosity model of single phase flow via homogenization theory
TL;DR: In this article, a general form of the double porosity model of single phase flow in a naturally fractured reservoir is derived from homogenization theory, and an effective macroscopic limit model is obtained that includes the usual Darcy equations in the matrix blocks and a similar equation for the fracture system that contains a term representing a source of fluid from the matrix.
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Mixed Finite Elements for Elliptic Problems with Tensor Coefficients as Cell-Centered Finite Differences
TL;DR: An expanded mixed finite element approximation of second-order elliptic problems containing a tensor coefficient is presented, and it is shown that rates of convergence are retained for the finite difference method.
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A Multiscale Mortar Mixed Finite Element Method
TL;DR: A priori error estimates are derived and show, with appropriate choice of the mortar space, optimal order convergence and some superconvergence on the fine scale for both the solution and its flux.
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A characteristics-mixed finite element method for advection-dominated transport problems
Todd Arbogast,Mary F. Wheeler +1 more
TL;DR: In this paper, a new finite element method, called the characteristics-mixed method, was defined for approximating the solution to an advection-dominated transport problem. The method is based on a space-time variational form of the advective-diffusion equation.
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Mixed Finite Element Methods on Nonmatching Multiblock Grids
TL;DR: Computational results using an efficient parallel domain decomposition algorithm are presented in confirmation of the theory and optimal order convergence is shown for both the solution and its flux.