Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

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 in past earthquakes, along with structural damage. This study seeks to investigate how the presence of a soft story in a building...

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Bibliographic Details
Main Authors: P. Vyshnavi, S. P. Challagulla, Musa Adamu, Felipe Vicencio, Mohammed Jameel, Yasser E. Ibrahim, Omar Shabbir Ahmed
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
reinforced concrete
non-structural component
machine learning
ANN
random forest
Online Access:https://www.mdpi.com/2076-3417/13/20/11329

Internet

https://www.mdpi.com/2076-3417/13/20/11329

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