Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms

Advanced machine learning algorithms have the potential to be successfully applied to many areas of system modelling. In the present study, the capability of ten machine learning algorithms to predict the structural damage of an 8-storey reinforced concrete frame building subjected to single and suc...

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Bibliographic Details
Main Authors: Petros C. Lazaridis, Ioannis E. Kavvadias, Konstantinos Demertzis, Lazaros Iliadis, Lazaros K. Vasiliadis
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
seismic sequence
machine learning algorithms
repeated earthquakes
structural damage prediction
intensity measures
damage accumulation
Online Access:https://www.mdpi.com/2076-3417/12/8/3845

Internet

https://www.mdpi.com/2076-3417/12/8/3845

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