土木学会全国大会年次学術講演会

This study proposed an approach to rapid post-earthquake damage prediction using machine learning and IoT devices. For this, simulation dataset considering both structural and seismic properties is used to train RF model and its performance is evaluated on testing dataset and is further validated with FE results. The developed model is used to predict the seismic damage of buildings of Saitama university using low-cost IoT devices.