Abstractions and Automated Algorithms for Mixed Domain Finite Element Methods
Abstractions and Automated Algorithms for Mixed Domain Finite Element Methods
复制标题
混合域有限元方法的抽象和自动化算法
DOI:
10.1145/3471138
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发表时间:
2021
影响因子:
2.7
通讯作者:
Daversin-Catty C
中科院分区:
文献类型:
--
作者:
Daversin-Catty C
Mixed dimensional partial differential equations (PDEs) are equations coupling unknown fields defined over domains of differing topological dimension. Such equations naturally arise in a wide range of scientific fields including geology, physiology, biology, and fracture mechanics. Mixed dimensional PDEs are also commonly encountered when imposing non-standard conditions over a subspace of lower dimension, e.g., through a Lagrange multiplier. In this article, we present general abstractions and algorithms for finite element discretizations of mixed domain and mixed dimensional PDEs of codimension up to one (i.e.,nD-mD with |n-m| ≤ 1). We introduce high-level mathematical software abstractions together with lower-level algorithms for expressing and efficiently solving such coupled systems. The concepts introduced here have also been implemented in the context of the FEniCS finite element software. We illustrate the new features through a range of examples, including a constrained Poisson problem, a set of Stokes-type flow models, and a model for ionic electrodiffusion.
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DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
W. Boon
通讯作者:
W. Boon
影响因子:
2.1
作者:
A. Logg;Kristian B. Ølgaard;M. Rognes;G. N. Wells
通讯作者:
G. N. Wells
影响因子:
7.5
作者:
A. Tveito;K. H. Jæger;M. Kuchta;K. Mardal;M. Rognes
通讯作者:
M. Rognes
DOI:
10.1137/070710032
发表时间:
2008
期刊:
SIAM J. Sci. Comput.
影响因子:
--
作者:
Kristian B. Ølgaard;A. Logg;G. N. Wells
通讯作者:
G. N. Wells
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
A. Samaké
通讯作者:
A. Samaké