Earthquake Engineering

Earthquake engineering aims to design and assess structures that can withstand seismic events, focusing on predicting ground motion, structural response, and damage. Current research heavily utilizes machine learning, particularly deep learning architectures like convolutional and recurrent neural networks, along with other techniques such as generative adversarial networks and boosting machines, to improve prediction accuracy and model interpretability in various aspects of seismic analysis, including damage assessment and ground motion modeling. These advancements offer significant potential for enhancing seismic hazard assessment, improving building codes, and facilitating more efficient and reliable post-earthquake damage detection and response strategies.