Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks

The intelligent design method based on generative adversarial networks (GANs) represents an emerging structural paradigm where rules are not artificially defined but directly learned from existing data. GAN-based methods have exhibited promising potential compared to conventional in the schematic phase of reinforced concrete (RC) shear wall structures. However, for following reasons, it is challenging apply approaches industry and integrate them into process. (1) data form heterogeneous that widely used computer-aided (CAD) methods, (2) high requirements hardware software environment user’s computer. As a result, this study proposes integrated RC structures, providing workable GAN application strategy. Specifically, preprocessing architectural CAD drawings proposed connect with upstream design; user-friendly cloud platform built reduce local computer environment; (3) transformation parametric modeling procedure automatically establish analysis model GAN’s design, facilitating downstream detailed tasks. makes possible entire structures be automated. A case reveals has accuracy 97.3% capable generating layout designs similar competent engineer, 225 times higher efficiency.