3 citations · 3 across the 3 of their papers we have counts for
3 papers
A Variational Kolosov--Muskhelishvili Network for Elasticity and Fracture
Shuwei Zhou, Christian Häffner, Sophie Stebner +3
Physics-informed neural networks provide a mesh-free framework for solving partial differential equation-governed problems in solid mechanics. However, most existing formulations i…
Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
Shuwei Zhou, Christian Haeffner, Shuancheng Wang +5
Physics-informed neural networks have been widely applied to solid mechanics problems. However, balancing the governing partial differential equations and boundary conditions remai…
Monitoring the evolution of dimensional accuracy and product properties in property-controlled forming processes
Sophie Charlotte Stebner, Juri Martschin, Bahman Arian +14
As recent trends in manufacturing engineering disciplines show a clear development in the sustainable as well as economically efficient design of forming processes, monitoring tech…