Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees

Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees

For the design or assessment of framed concrete structures under high eccentric loadings, the accurate prediction of the torsional capacity of reinforced concrete (RC) beams can be critical. Unfortunately, traditional semi-empirical equations still fail to accurately estimate the torsional capacity...

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Bibliographic Details
Main Authors: Diana S. O. Bernardo, Luís F. A. Bernardo, Hamza Imran, Tiago P. Ribeiro
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
machine learning
reinforced concrete beams
torsional capacity
Decision Tree
Bagging
Random Forests
Online Access:https://www.mdpi.com/2076-3417/13/3/1385

Internet

https://www.mdpi.com/2076-3417/13/3/1385

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