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Steel and Composite Structures
  Volume 44, Number 5, September10 2022 , pages 691-705
DOI: https://doi.org/10.12989/scs.2022.44.5.691
 


JAYA-GBRT model for predicting the shear strength of RC slender beams without stirrups
Viet-Linh Tran and Jin-Kook Kim

 
Abstract
    Shear failure in reinforced concrete (RC) structures is very hazardous. This failure is rarely predicted and may occur without any prior signs. Accurate shear strength prediction of the RC members is challenging, and traditional methods have difficulty solving it. This study develops a JAYA-GBRT model based on the JAYA algorithm and the gradient boosting regression tree (GBRT) to predict the shear strength of RC slender beams without stirrups. Firstly, 484 tests are carefully collected and divided into training and test sets. Then, the hyperparameters of the GBRT model are determined using the JAYA algorithm and 10-fold cross-validation. The performance of the JAYA-GBRT model is compared with five well-known empirical models. The comparative results show that the JAYA-GBRT model (𝑅 2 = 0.982, 𝑅𝑀𝑆𝐸 = 9.466 kN, 𝑀𝐴𝐸 = 6.299 kN, u= 1.018, and Cov = 0.116) outperforms the other models. Moreover, the predictions of the JAYA-GBRT model are globally and locally explained using the Shapley Additive exPlanation (SHAP) method. The effective depth is determined as the most crucial parameter influencing the shear strength through the SHAP method. Finally, a Graphic User Interface (GUI) tool and a web application (WA) are developed to apply the JAYA-GBRT model for rapidly predicting the shear strength of RC slender beams without stirrups.
 
Key Words
    gradient boosting regression tree; graphic user interface; jaya algorithm; reinforced concrete slender beam; shear strength; web application
 
Address
Viet-Linh Tran:1)Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811,
Republic of Korea
2)Department of Civil Engineering, Vinh University, Vinh 461010, Vietnam

Jin-Kook Kim:Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811,
Republic of Korea
 

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