A novel deep operator network (DeepONet) with a residual U-Net (ResUNet) as the trunk network is devised to predict full-field highly nonlinear elastic–plastic stress response for …
X Zhao, F Mezzadri, T Wang, X Qian - Structural and Multidisciplinary …, 2024 - Springer
In this paper, we introduce a Physics-Informed Neural Networks (PINNs)-based Topology optimization method that is free from the usual finite element analysis and is applicable for …
Presented herein is a novel design framework for obtaining the optimal design of functionally graded lattice (FGL) structures that involve using a physical discrete structural …
This chapter discusses the meaning of intuition, creativity, and intelligence in the context of architecture and how information technology can potentially support designers and augment …
Topology optimization (TO) is a numerical simulation to identify an optimal distribution of solid and void. A more efficient distribution of material means a reduction of natural …
T Rosnitschek, A Gläseke, F Hüter… - Proceedings of the …, 2022 - Springer
Additive manufacturing is taking on an essential role in lightweight design engineering. To realize significant weight reductions and manufacturing time savings, additively …