147 citations · 179 across the 4 of their papers we have counts for
4 papers
Modeling isotropic polyconvex hyperelasticity by neural networks -- sufficient and necessary criteria for compressible and incompressible materials
Gian-Luca Geuken, Patrick Kurzeja, David Wiedemann +3
This work investigates different sufficient and necessary criteria for hyperelastic, isotropic polyconvex material models, focusing on neural network implementations for compressib…
Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches
Martin Zlatić, Felipe Rocha, Laurent Stainier +1
We present a comparison between two approaches to modelling hyperelastic material behaviour using data. The first approach is a novel approach based on Data-driven Computational Me…
Stress-driven two-phase integral elasticity for Timoshenko curved beams
Marzia Sara Vaccaro, Francesco Paolo Pinnola, Francesco Marotti de Sciarra +2
In this research, the size-dependent static behaviour of elastic curved stubby beams is investigated by Timoshenko kinematics. Stress-driven two-phase integral elasticity is adopte…
Stress-driven modeling of nonlocal thermoelastic behavior of nanobeams
Raffaele Barretta, Marko Canadija, Raimondo Luciano +1
A consistent stress-driven nonlocal integral model for nonisothermal structural analysis of elastic nano- and microbeams is proposed. Most nonlocal models of literature are strain-…