Seismic time history response prediction of modular buildings using transformer-based machine learning models

Key Points

• The predictive model accurately estimates seismic response, showing improvement over traditional methods.
• The analysis utilizes transformer-based machine learning, enhancing predictive capabilities for structural behavior.
• Data from previous seismic events informs the model, leading to more reliable predictions in dynamic conditions.
• The findings highlight the importance of advanced modeling techniques in ensuring the safety of modular construction.