81 citations · 171 across the 5 of their papers we have counts for
5 papers
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Yichi Zhang, Paul Seibert, Alexandra Otto +3
Microstructure reconstruction is an important and emerging field of research and an essential foundation to improving inverse computational materials engineering (ICME). Much of th…
Simulation of self-piercing rivetting processes in fibre reinforced polymers: Material modelling and parameter identification
Franz Hirsch, Sebastian Müller, Michael Machens +3
This paper addresses the numerical simulation of self-piercing rivetting processes to join fibre reinforced polymers and sheet metals. Special emphasis is placed on the modelling o…
Modeling and simulation of interface failure in metal-composite hybrids
Franz Hirsch, Erik Natkowski, Markus Kästner
The application of hybrid composites in lightweight engineering enables the combination of material-specific advantages of fiber-reinforced polymers and classical metals. The inter…
Assessment of hybrid machine learning models for non-linear system identification of fatigue test rigs
Leonhard Heindel, Peter Hantschke, Markus Kästner
The prediction of system responses for a given fatigue test bench drive signal is a challenging task, for which linear frequency response function models are commonly used. To acco…
Phase-Field Modeling of Crack Branching and Deflection in Heterogeneous Media
Arne Claus Hansen-Dörr, Franz Dammaß, René de Borst +1
This contribution presents a diffuse framework for modeling cracks in heterogeneous media. Interfaces are depicted by static phase-fields. This concept allows the use of non-confor…