Multi-scale Topology Optimization using Neural Networks

arXiv:2404.08708v1 Announce Type: cross
Abstract: A long-standing challenge is designing multi-scale structures with good connectivity between cells while optimizing each cell to reach close to the theoretical performance limit. We propose a new method for direct multi-scale topology optimization using neural networks. Our approach focuses on inverse homogenization that seamlessly maintains compatibility across neighboring microstructure cells. Our approach consists of a topology neural network that optimizes the microstructure shape and distribution across the design domain as a continuous field. Each …

abstract arxiv cells challenge connectivity cs.ai cs.lg cs.ne designing good networks neural networks optimization performance scale topology type