Bridge Type

Research on bridge type innovation is exploring the use of generative artificial intelligence to design novel bridge structures. Current efforts focus on leveraging various deep learning models, including variational autoencoders, generative adversarial networks, diffusion models, and flow-based models, to generate new bridge designs by manipulating latent representations of existing bridge types. This research aims to augment human creativity in bridge engineering by providing a tool for exploring a wider range of design possibilities and potentially accelerating the design process. The ultimate goal is to enhance the efficiency and innovation within the field of bridge design.