About this document
Deep Learning for Topology Optimization by ALI ABBAS is a document available to read on EtoBox.
The document presents a scalable deep-learning framework, SDL-TO, designed to accelerate topology optimization (TO) for additively manufactured materials by leveraging parallel computing. This framework addresses the computational challenges of TO by learning surrogate gradients from iterative history data, significantly reducing the computational cost by approximately 8.6 times compared to standard TO implementations. The SDL-TO framework demonstrates competitive performance in various benchmark examples,
- Author
- ALI ABBAS
- Language
- EN