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International Journal for Numerical Methods in Engineering
Article . 2024 . Peer-reviewed
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Article . 2024
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Article . 2024
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Multiscale enhanced non‐uniform transformation field analysis

Multiscale enhanced non-uniform transformation field analysis
Authors: A. Mishra; P. Carrara; S. Marfia; E. Sacco; L. De Lorenzis;

Multiscale enhanced non‐uniform transformation field analysis

Abstract

AbstractEnhanced transformation field analysis (E‐TFA), recently proposed for reduced‐order modeling, is here formulated for and applied to multiscale analysis. The approach is able to reproduce a highly complex nonlinear macroscale behavior, resulting from a microstructure with cohesive interfaces embedded in an elasto‐plastic bulk. E‐TFA features a consistent tangent matrix in its solution procedure, which enables a straightforward definition of the upscaled tangent stiffness tensor. Numerical tests show that, compared to FE, the proposed approach yields accurate solutions at a lower computational cost.

Countries
Switzerland, Italy, Switzerland
Keywords

Numerical and other methods in solid mechanics, computational homogenization, arc-length method, multiscale analysis, arc-length method; computational homogenization; multiscale analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid