A New CGAN Technique for Constrained Topology Design Optimization

no code implementations • 22 Jan 2019 • M. -H. Herman Shen, Liang Chen

This paper presents a new conditional GAN (named convex relaxing CGAN or crCGAN) to replicate the conventional constrained topology optimization algorithms in an extremely effective and efficient process.

A Novel Topology Optimization Approach using Conditional Deep Learning

no code implementations • 14 Jan 2019 • Sharad Rawat, M. -H. Herman Shen

The results are validated by generating an optimized planar structure using the conventional algorithms with the same settings.

A novel topology design approach using an integrated deep learning network architecture

no code implementations • 3 Aug 2018 • Sharad Rawat, M. -H. Herman Shen

Topology design optimization offers tremendous opportunity in design and manufacturing freedoms by designing and producing a part from the ground-up without a meaningful initial design as required by conventional shape design optimization approaches.