Characterising particle packings by principal component analysis

DOI10.1016/j.cma.2018.05.018zbMath1440.74099OpenAlexW2805933785WikidataQ129734556 ScholiaQ129734556MaRDI QIDQ1986284

Yanyan Li

Publication date: 8 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://cronfa.swan.ac.uk/Record/cronfa40288

zbMATH Keywords

principal component analysisparticle packingdigitalised imageprincipal variancespatial homogeneity and isotropy

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Probabilistic methods, particle methods, etc. for boundary value problems involving PDEs (65N75) Finite element methods applied to problems in solid mechanics (74S05) Granularity (74E20) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)

Related Items (3)

Characterising particle packings by principal component analysis ⋮ DEM and dual-probability-Brownian motion scheme for thermal conductivity of multiphase granular materials with densely packed non-spherical particles and soft interphase networks ⋮ Recursive principal component analysis for model order reduction with application in nonlinear Bayesian filtering

Cites Work

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• Granular packing: numerical simulation and the characterisation of the effect of particle shape
• Characterising particle packings by principal component analysis
• Filling domains with disks: an advancing front approach
• Numerical studies of uniaxial powder compaction process by 3D DEM
• A general advancing front technique for filling space with arbitrary objects

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