Impact of the grain size distribution on the yield stress of heterogeneous materials
By Stephane Berbenni, V. Favier, Marc Berveiller. 2007
244 citations recorded by the source corpus.
Subfields: Computational Mechanics, Materials Chemistry, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/b186420bb01e903f38c66e2df41327d5de08679e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
In Mechanics of Materials
Citations in the corpus
- A multiscale approach for modeling scale-dependent yield stress in polycrystalline metals (2007, background): “However, scale-dependent characteristics of yield stresses are not yet fully understood in terms of mechanics and there are a lot of points to be studied (for example, Fredriksson and Gudmundson, 2005; Cheong, et al., 2005; Khan, et al., 2006; Berbenni et al., 2006).”
- Machine learning enabled autonomous microstructural characterization in 3D samples (2020, background): “For example, Berbenni et al. 12 showed that for a given average grain size, broadening of the grain size dispersion reduces the strength of a material.”