Prediction of elastic stresses in porous materials using fully convolutional networks
Sign Up to like & getrecommendations! Published in 2021 at "Scripta Materialia"
DOI: 10.1016/j.scriptamat.2021.113805
Abstract: Abstract Machine learning (ML) models enable exploration of vast structural space faster than the traditional methods, such as finite element method (FEM). This makes ML models suitable for stochastic fracture problems in brittle porous materials.… read more here.
Keywords: prediction elastic; fully convolutional; convolutional networks; porous materials ... See more keywords
Prediction of elastic anisotropic thermo-dependent properties of discontinuous fiber-reinforced composites
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Composite Materials"
DOI: 10.1177/0021998319889397
Abstract: This study focuses on the micromechanical prediction of temperature-dependent elastic properties of a composite made of a polypropylene matrix reinforced with discontinuous glass fibers. Firstly, an experimental investigation of the mechanical behavior is presented. Specimen… read more here.
Keywords: temperature; thermo dependent; prediction elastic; elastic anisotropic ... See more keywords