Ausgabe 5/2023
Inhalt (11 Artikel)
Open Access
Original Paper
FE: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining
Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner
Open Access
Original Paper
A fully implicit and thermodynamically consistent finite element framework for bone remodeling simulations
Maximilian Bittens, Udo Nackenhorst
Original Paper
An improved formulation for reduced quadrature in computational solid mechanics
Weican Li, Yuri Bazilevs
Original Paper
Efficient GPU-accelerated thermomechanical solver for residual stress prediction in additive manufacturing
Shuheng Liao, Ashkan Golgoon, Mojtaba Mozaffar, Jian Cao
Original Paper
Incompressible rubber thermoelasticity: a neural network approach
Martin Zlatić, Marko Čanađija
Original Paper
A new computational scheme for structural static stochastic analysis based on Karhunen–Loève expansion and modified perturbation stochastic finite element method
Zhanjun Shao, Xiumei Li, Ping Xiang
Open Access
Original Paper
A Hu–Washizu variational approach to self-stabilized virtual elements: 2D linear elastostatics
Andrea Lamperti, Massimiliano Cremonesi, Umberto Perego, Alessandro Russo, Carlo Lovadina
Open Access
Original Paper
Reduced representations of assumed fields for Hu–Washizu solid-shell element
K. Wisniewski, E. Turska
Open Access
Original Paper
Influence of flow–fiber coupling during mold-filling on the stress field in short-fiber reinforced composites
Tobias Karl, Jan Zartmann, Simon Dalpke, Davide Gatti, Bettina Frohnapfel, Thomas Böhlke
Open Access
Original Paper
An enriched phase-field method for the efficient simulation of fracture processes
Stefan Loehnert, Christian Krüger, Verena Klempt, Lukas Munk
Original Paper
POD-based reduced order model for the prediction of global and local elastic responses of fibre-reinforced polymer considering varying fibre distribution
A. Jamnongpipatkul, R. D. B. Sevenois, W. Desmet, F. Naets, F. A. Gilabert