IoT Thrust Seminar | Artificial Intelligence for Structural Engineering

Recent research has developed deep-learning-based intelligent structural design, simulation and structural health monitoring platform to fully utilize the accelerated computing of Graphical Processing Units (GPUs), covering both data-driven and physics-driven artificial intelligence (AI) models. For structural simulation, physics-informed machine learning is developed to replicate the spatial discretization and temporal discretization of conventional finite element solvers by convolutional neural networks and recurrent neural networks. For structural health monitoring (SHM), the state-of-the-art neural operator is trained to predict the damage distribution field based on structural response field. For structural design, dataset is collected for structural design input parameters and structural design drawings, the generative models are learned to generate preliminary structural design drawings of buildings.