164 citations · 232 across the 9 of their papers we have counts for
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The Discontinuous Strain Method: accurately representing fatigue and failure
Leon Herrmann, Alireza Daneshyar, Stefan Kollmannsberger
Fatigue simulation requires accurate modeling of unloading and reloading. However, classical ductile damage models treat deformations after complete failure as irrecoverable -- whi…
Deep Learning in Deterministic Computational Mechanics
Leon Herrmann, Stefan Kollmannsberger
The rapid growth of deep learning research, including within the field of computational mechanics, has resulted in an extensive and diverse body of literature. To help researchers…
From ductile damage to unilateral contact via point-wise implicit discontinuity at the infinitesimal element level
Alireza Daneshyar, Leon Herrmann, Stefan Kollmannsberger
Ductile damage models and cohesive laws incorporate the material plasticity entailing the growth of irrecoverable deformations even after complete failure. This unrealistic growth…
Transfer Learning Enhanced Full Waveform Inversion
Stefan Kollmannsberger, Divya Singh, Leon Herrmann
We propose a way to favorably employ neural networks in the field of non-destructive testing using Full Waveform Inversion (FWI). The presented methodology discretizes the unknown…
On the Use of Neural Networks for Full Waveform Inversion
Leon Herrmann, Tim Bürchner, Felix Dietrich +1
Neural networks have recently gained attention in solving inverse problems. One prominent methodology are Physics-Informed Neural Networks (PINNs) which can solve both forward and…