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Volume 13
Issue 14
10.3390/app13148325
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Article

The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach

by
Marwa Hameed Abdallah
1,
Zainab Abdulrdha Thoeny
2,
Sadiq N. Henedy
3,
Nadia Moneem Al-Abdaly
1,
Hamza Imran
4,
Luís Filipe Almeida Bernardo
5,* and
Zainab Al-Khafaji
6
1
Department of Civil Engineering, Najaf Technical Institute, Al-Furat Al-Awsat Technical University, Najaf Munazira Str., Najaf 54003, Iraq
2
Department of Political Thought, Collage of Political Sciences, University of Baghdad, Baghdad 10071, Iraq
3
Department of Civil Engineering, Mazaya University College, Nasiriyah City 64001, Iraq
4
Department of Environmental Science, College of Energy and Environmental Science, Alkarkh University of Science, Baghdad 10081, Iraq
5
Department of Civil Engineering and Architecture, University of Beira Interior, 6201-001 Covilhã, Portugal
6
Building and Construction Techniques Engineeing Department, Al-Mustaqbal University College, Hillah 51001, Iraq
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(14), 8325; https://doi.org/10.3390/app13148325
Submission received: 12 April 2023 / Revised: 12 July 2023 / Accepted: 17 July 2023 / Published: 19 July 2023
(This article belongs to the Special Issue Engineered Supplementary Cementitious Material-Based Mortar/Concrete with Enhanced Mechanical and Durability Performance)
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Abstract

Reinforced concrete (RC) flat slabs are widely employed in modern construction, and accurately predicting their load-carrying capacity is crucial for ensuring safety and reliability. Existing design methods and empirical equations still exhibit discrepancies in determining the ultimate load capacity of flat slabs. This study aims to develop a robust machine learning model, specifically the M5P model tree, for predicting the punching shear capacity of a RC flat slab without shear reinforcement. A comprehensive dataset of 482 experimentally tested flat slabs without shear reinforcement was gathered through an extensive literature review and utilized for the development of the M5P model. The model takes into account influential parameters, such as slab thickness, longitudinal reinforcement ratios, and concrete strength. The performance of the proposed M5P model was compared with existing design codes and other empirical models. The comparison highlights that the developed M5P model tree provides a more accurate and reliable prediction of the punching shear capacity of RC flat slabs. This study contributes to the advancement of structural engineering knowledge and has the potential to improve the design and safety assessment of concrete flat slab structures.
Keywords: machine learning; reinforced concrete; flat slabs; punching shear capacity; MP5 machine learning; reinforced concrete; flat slabs; punching shear capacity; MP5

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MDPI and ACS Style

Abdallah, M.H.; Thoeny, Z.A.; Henedy, S.N.; Al-Abdaly, N.M.; Imran, H.; Bernardo, L.F.A.; Al-Khafaji, Z. The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach. Appl. Sci. 2023, 13, 8325. https://doi.org/10.3390/app13148325

AMA Style

Abdallah MH, Thoeny ZA, Henedy SN, Al-Abdaly NM, Imran H, Bernardo LFA, Al-Khafaji Z. The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach. Applied Sciences. 2023; 13(14):8325. https://doi.org/10.3390/app13148325

Chicago/Turabian Style

Abdallah, Marwa Hameed, Zainab Abdulrdha Thoeny, Sadiq N. Henedy, Nadia Moneem Al-Abdaly, Hamza Imran, Luís Filipe Almeida Bernardo, and Zainab Al-Khafaji. 2023. "The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach" Applied Sciences 13, no. 14: 8325. https://doi.org/10.3390/app13148325

APA Style

Abdallah, M. H., Thoeny, Z. A., Henedy, S. N., Al-Abdaly, N. M., Imran, H., Bernardo, L. F. A., & Al-Khafaji, Z. (2023). The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach. Applied Sciences, 13(14), 8325. https://doi.org/10.3390/app13148325

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