Predicting dynamic responses of frame structures subjected to stochastic wind loads using temporal surrogate model

This study proposes an alternative approach based on the deep learning paradigm working in a complementary way with conventional methods such as the finite element method for quickly forecasting the responses of structures under random wind loads with reasonable accuracy.