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Computational Methods in Applied Mathematics

Editor-in-Chief: Carstensen, Carsten

Managing Editor: Matus, Piotr

4 Issues per year


IMPACT FACTOR 2016: 1.097

CiteScore 2016: 1.09

SCImago Journal Rank (SJR) 2016: 0.872
Source Normalized Impact per Paper (SNIP) 2016: 0.887

Mathematical Citation Quotient (MCQ) 2016: 0.75

Online
ISSN
1609-9389
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Volume 15, Issue 1 (Jan 2015)

Issues

Simulation of Composite Materials by a Network FEM with Error Control

Martin Eigel / Daniel Peterseim
  • Institute for Numerical Simulation, Rheinische Friedrich-Wilhelms-Universität Bonn, Wegelerstr. 6, 53115 Bonn, Germany
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Published Online: 2014-10-29 | DOI: https://doi.org/10.1515/cmam-2014-0027

Abstract

A novel finite element method (FEM) for the computational simulation in particle reinforced composite materials with many inclusions is presented. It is based on a specially designed mesh consisting of triangles and channel-like connections between inclusions which form a network structure. The total number of elements and, hence, the number of degrees of freedom are proportional to the number of inclusions. The error of the method is independent of the possibly tiny distances of neighboring inclusions. We present algorithmic details for the generation of the problem-adapted mesh and derive an efficient residual a posteriori error estimator which enables us to compute reliable upper and lower error bounds. Several numerical examples illustrate the performance of the method and the error estimator. In particular, it is demonstrated that the (common) assumption of a lattice structure of inclusions can easily lead to incorrect predictions about material properties.

Keywords: A Posteriori; Error Analysis; Finite Element Method; Composite Material; Multiscale; High Contrast; Generalized Delaunay; Network

MSC: 65N15; 65N30; 74Q20

About the article

Received: 2014-09-30

Accepted: 2014-10-02

Published Online: 2014-10-29

Published in Print: 2015-01-01


Funding Source: DFG Research Center Matheon Berlin

Award identifier / Grant number: C33


Citation Information: Computational Methods in Applied Mathematics, ISSN (Online) 1609-9389, ISSN (Print) 1609-4840, DOI: https://doi.org/10.1515/cmam-2014-0027.

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