“In the field of civil engineering, a structural damage identification method combining digital twins and deep learning has been proposed, effectively solving the problem of data scarcity in traditional methods. By constructing a digital twin of the structure and applying empirical mode decomposition method, this method does not require seismic information. It utilizes a deep neural network trained on intrinsic mode transfer rate function data to accurately identify structural damage, providing an active, reliable, and efficient solution for engineering structural health monitoring.”