A UMAP-based clustering method for multi-scale damage analysis of laminates

DOI10.1016/j.apm.2022.06.017zbMath1505.74204OpenAlexW4283165707MaRDI QIDQ2110084

Xuefeng Chen, Danhui Yang, Zeren Jin, Viska Wei, Zhibo Yang

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.06.017

zbMATH Keywords

extended finite element methodmulti-scalefinite-volume theoryprogressive damage analysisUMAP-based clustering

Mathematics Subject Classification ID

Composite and mixture properties (74E30) Finite volume methods applied to problems in solid mechanics (74S10)

Uses Software

• ABAQUS
• UMAP

Cites Work

• Multiple scale analysis of heterogeneous elastic structures using homogenization theory and Voronoi cell finite element method
• Parametric finite-volume micromechanics of periodic materials with elastoplastic phases
• Finite-volume direct averaging micromechanics of heterogeneous materials with elastic-plastic phases
• Data science for finite strain mechanical science of ductile materials
• Recurrent neural networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step
• A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features
• Parametrically homogenized continuum damage mechanics (PHCDM) models for unidirectional composites with nonuniform microstructural distributions
• Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials
• Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials
• Computational damage mechanics for composite materials based on mathematical homogenization
• A finite element method for crack growth without remeshing
• Mathematics for Machine Learning
• A multi-level computational model for multi-scale damage analysis in composite and porous materials

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