Failure Mode Identification and Shear Strength Prediction of Rectangular Hollow RC Columns Using Novel Hybrid Machine Learning Models

Failure Mode Identification and Shear Strength Prediction of Rectangular Hollow RC Columns Using Novel Hybrid Machine Learning Models

Failure mode identification and shear strength prediction are critical issues in designing reinforced concrete (RC) structures. Nevertheless, specific guidelines for identifying the failure modes and for accurate predictions of the shear strength of rectangular hollow RC columns are not provided in...

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Bibliographic Details
Main Authors: Viet-Linh Tran, Tae-Hyung Lee, Duy-Duan Nguyen, Trong-Ha Nguyen, Quang-Viet Vu, Huy-Thien Phan
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Buildings
Subjects:
extreme gradient boosting
failure mode
machine learning
moth-flame optimization
rectangular hollow reinforced concrete columns
shear strength
Online Access:https://www.mdpi.com/2075-5309/13/12/2914

Internet

https://www.mdpi.com/2075-5309/13/12/2914

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