Empirically corrected cluster cubature (E3C)

In computational homogenization, the microscopic problem is regularly solved via Galerkin-projection methods to speed up the computation. By evaluating the involved integrals by hyper-reduction techniques, a very high efficiency can be achieved. Here, a novel hyper-reduction method is proposed and applied to magnetostatics. The method combines the ideas of microstructural clustering with the empirical identification/correction of a reduced set of integration points, not being taken from the set of finite element integration points. The results show that the macroscopic response (2D) is hardly distinguishable from the finite element results already for 12 integration points at a phase contrast of ∼ 1000 for a porous microstructure. The online costs (but also the offline costs) are thus found to be particularly low. Further, a two-scale example is discussed and the code is made available online.

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Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2025-01-29
DOI
https://doi.org/10.1016/j.cma.2025.117779
Citations
7
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
6.05

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article

Empirically corrected cluster cubature (E3C)

Stephan Wulfinghoff
7 citations
Computer Methods in Applied Mechanics and Engineering
Rock Mechanics and Modeling
6.05
article

Empirically corrected cluster cubature (E3C)

Stephan Wulfinghoff
article en
7 citations

Abstract

In computational homogenization, the microscopic problem is regularly solved via Galerkin-projection methods to speed up the computation. By evaluating the involved integrals by hyper-reduction techniques, a very high efficiency can be achieved. Here, a novel hyper-reduction method is proposed and applied to magnetostatics. The method combines the ideas of microstructural clustering with the empirical identification/correction of a reduced set of integration points, not being taken from the set of finite element integration points. The results show that the macroscopic response (2D) is hardly distinguishable from the finite element results already for 12 integration points at a phase contrast of ∼ 1000 for a porous microstructure. The online costs (but also the offline costs) are thus found to be particularly low. Further, a two-scale example is discussed and the code is made available online.

Computer Methods in Applied Mechanics and EngineeringVol. 437
Hochschule für Angewandte Wissenschaften Kiel (DE), Christian-Albrechts-Universität zu Kiel (DE)
Deutsche Forschungsgemeinschaft
Zero hunger
Openalex Percentile: Top 4%
Rock Mechanics and Modeling
6.05
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Empirically corrected cluster cubature (E3C) — Stephan Wulfinghoff · Computer Methods in Applied Mechanics and Engineering (2025) | TGRS Research Map | TGRS