Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending

1 code implementation • 1 Dec 2021 • Yu-Chin Chan, Daicong Da, LiWei Wang, Wei Chen

We propose to inherit the advantages of both through a data-driven framework for multiclass functionally graded structures that mixes several families, i. e., classes, of microstructure topologies to create spatially-varying designs with guaranteed feasibility.

Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization

no code implementations • 11 Jun 2021 • LiWei Wang, Anton van Beek, Daicong Da, Yu-Chin Chan, Ping Zhu, Wei Chen

After integrating LVGP with the density-based TO, an efficient data-driven cellular composite optimization process is developed to enable concurrent exploration of microstructure concepts and the associated volume fractions for natural frequency optimization.

IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures

1 code implementation • 3 Mar 2021 • Jun Wang, Wei Wayne Chen, Daicong Da, Mark Fuge, Rahul Rai

Results show that our method can 1) generate various unit cells that satisfy given material properties with high accuracy ($R^2$-scores between target properties and properties of generated unit cells $>98\%$) and 2) improve the optimized structural performance over the conventional variable-density single-type structure.

Generative Adversarial Network