14 citations · 18 across the 3 of their papers we have counts for
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cs.CE2024★ 4 cited
Physics-Informed Neural Networks for Solving Contact Problems in Three Dimensions
Tarik Sahin, Daniel Wolff, Alexander Popp
This paper explores the application of physics-informed neural networks (PINNs) to tackle forward problems in 3D contact mechanics, focusing on small deformation elasticity. We uti…
cs.CE2024★ 14 cited
Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam
Tarik Sahin, Daniel Wolff, Max von Danwitz +1
In this study, we investigate the potential of fast-to-evaluate surrogate modeling techniques for developing a hybrid digital twin of a steel-reinforced concrete beam, serving as a…