Try to generate new bridge types using generative artificial intelligence technology. Symmetric structured image dataset of three-span beam bridge, arch bridge, cable-stayed bridge and suspension bridge are used . Based on Python programming language, TensorFlow and Keras deep learning platform framework , as well as Wasserstein loss function and Lipschitz constraints, generative adversarial network is constructed and trained. From the obtained low dimensional bridge-type latent space sampling, new bridge types with asymmetric structures can be generated. Generative adversarial network can create new bridge types by organically combining different structural components on the basis of human original bridge types. It has a certain degree of human original ability. Generative artificial intelligence technology can open up imagination space and inspire humanity.

翻译：尝试利用生成式人工智能技术生成新桥型。使用三跨梁桥、拱桥、斜拉桥和悬索桥的对称结构图像数据集。基于Python编程语言、TensorFlow与Keras深度学习平台框架，并采用Wasserstein损失函数与Lipschitz约束，构建并训练生成对抗网络。从获得的低维桥型潜在空间采样中，可生成具有非对称结构的新桥型。生成对抗网络能够在人类原始桥型基础上，通过有机组合不同结构部件，创造新型桥梁。其具备一定的人类原始创新能力。生成式人工智能技术能够拓展想象空间，启迪人类思维。