Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components
Soft stories in buildings are well-known to present structural vulnerabilities during seismic events, and the failure of non-structural components (NSCs) has been evident fr9352 in past earthquakes, along with structural damage.This study seeks to investigate how the presence of a soft story in a building affects the criteria for elastic floor acce