Statistical investigation on influence of grain size on effective strengths of particulate reinforced metal matrix composites

DOI10.1016/j.cma.2019.04.044zbMath1441.74054OpenAlexW2946260132WikidataQ127843795 ScholiaQ127843795MaRDI QIDQ1988077

Alexander Bezold, Dieter Weichert, Geng Chen, Christoph Broeckmann, LeLe Zhang

Publication date: 16 April 2020

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

Full work available at URL: https://doi.org/10.1016/j.cma.2019.04.044

zbMATH Keywords

interior-point methodhomogenizationdirect method (DM)particulate reinforced metal matrix composite (PRMMC)statistically equivalent representative volume element (SERVE)WC-Co

Mathematics Subject Classification ID

Granularity (74E20)

Related Items (3)

Numerical evaluation of macroscopic fatigue criterion of anisotropic materials using computational homogenization and conic programming ⋮ Shakedown-reliability based fatigue strength prediction of parts fabricated by directed energy deposition considering the microstructural inhomogeneities ⋮ Lower bound limit and shakedown analysis of orthotropic material

Uses Software

• PARDISO
• Ipopt

Cites Work

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