Numerical Evaluation of the Upright Columns with Partial Reinforcement along with the Utilisation of Neural Networks with Combining Feature-Selection Method to Predict the Load and Displacement

Numerical Evaluation of the Upright Columns with Partial Reinforcement along with the Utilisation of Neural Networks with Combining Feature-Selection Method to Predict the Load and Displacement

This study evaluated the axial capacity of cold-formed racking upright sections strengthened with an innovative reinforcement method by finite element modelling and artificial intelligence techniques. At the first stage, several specimens with different lengths, thicknesses and reinforcement spacing...

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Bibliographic Details
Main Authors: Ehsan Taheri, Peyman Mehrabi, Shervin Rafiei, Bijan Samali
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
artificial intelligence
finite element method
cold-formed
rack upright
feature-selection method
multi-layer perceptron
Online Access:https://www.mdpi.com/2076-3417/11/22/11056

Internet

https://www.mdpi.com/2076-3417/11/22/11056

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