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Glen A. Hansen

Researcher at Sandia National Laboratories

Publications -  47
Citations -  1577

Glen A. Hansen is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Finite element method & Multiphysics. The author has an hindex of 14, co-authored 47 publications receiving 1381 citations. Previous affiliations of Glen A. Hansen include Los Alamos National Laboratory & Idaho National Laboratory.

Papers
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Journal ArticleDOI

MOOSE: A parallel computational framework for coupled systems of nonlinear equations

TL;DR: MOOSE as mentioned in this paper is a parallel computational framework targeted at solving coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes, which is based on mathematics based on Jacobian-free Newton Krylov (JFNK).
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Multiphysics simulations: Challenges and opportunities

TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
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Three dimensional coupled simulation of thermomechanics, heat, and oxygen diffusion in UO2 nuclear fuel rods

TL;DR: In this article, a three dimensional thermomechanical model was developed for UO2 fuel pellets and solved in a parallel, fullycoupled, fully-implicit manner using a preconditioned Jacobian-free Newton Krylov method.
Book

Mesh Enhancement: Selected Elliptic Methods, Foundations and Applications

TL;DR: Basic Concepts Computational Geometry and Geometric Data Structures Discretization Methods for Differential Equations Solving the Mesh Enhancement Algebraic Equation System
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Albany: using component-based design to develop a flexible, generic multiphysics analysis code

TL;DR: The overall design of Albany is presented, and the details of the integration of many of the components involved are discussed, to show the reader the wide variety of solution components that are available and what is possible when they are combined within a simulation capability.