HIGHLIGHTS
- who: Firstname Lastname and collaborators from the Institute of Continuum Mechanics, Leibniz University Hannover, Garbsen, Germany have published the article: Feed-Forward Neural Networks for Failure Mechanics Problems, in the Journal: (JOURNAL)
- what: In the work of_[48] CNNs are used to quantitatively predict the mechanical properties (i.e., stiffness, strength, and toughness) of a 2D checkerboard composed of two different phases (brittle and ductile). The aim of this paper is to incorporate neural_network models as constitutive models within the finite element applications for elasticity and phase-field modeling of brittle fracture by combining the . . .
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