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A Verified Conformal Decomposition Finite Element Method for Implicit, Many-Material Geometries

Journal Article · · Journal of Computational Physics
As computing power rapidly increases, quickly creating a representative and accurate discretization of complex geometries arises as a major hurdle towards achieving a next generation simulation capability. Component definitions may be in the form of solid (CAD) models or derived from 3D computed tomography (CT) data, and creating a surface-conformal discretization may be required to resolve complex interfacial physics. Furthermore, the Conformal Decomposition Finite Element Methods (CDFEM) has been shown to be an efficient algorithm for creating conformal tetrahedral discretizations of these implicit geometries without manual mesh generation.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA (United States)
Sponsoring Organization:
USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Program (EE-2G)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1466760
Alternate ID(s):
OSTI ID: 1702375
OSTI ID: 23078077
Report Number(s):
SAND--2018-9124J; 667127
Journal Information:
Journal of Computational Physics, Journal Name: Journal of Computational Physics Vol. 375; ISSN 0021-9991
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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journal August 2016
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Cited By (3)

Modeling curved interfaces without element‐partitioning in the extended finite element method journal July 2019
Progress in 3D electrode microstructure modelling for fuel cells and batteries: transport and electrochemical performance journal July 2019
Editors' Choice—Mesoscale Analysis of Conductive Binder Domain Morphology in Lithium-Ion Battery Electrodes journal January 2018

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