4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CE2024★ 4 cited
Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions
Karl A. Kalina, Jörg Brummund, WaiChing Sun +1
We present a data-driven framework for the multiscale modeling of anisotropic finite strain elasticity based on physics-augmented neural networks (PANNs). Our approach allows the e…
cond-mat.mtrl-sci2020
Phase-field modeling of fracture in heterogeneous materials -- jump conditions, convergence and crack propagation
Arne Claus Hansen-Dörr, Jörg Brummund, Markus Kästner
In this contribution, a variational diffuse modeling framework for cracks in heterogeneous media is presented. A static order parameter smoothly bridges the discontinuity at materi…