Development of machine learning models for reliable prediction of the punching shear strength of FRP-reinforced concrete slabs without shear reinforcements

N Badra, SYA Haggag, A Deifalla, NM Salem - Measurement, 2022 - Elsevier
This study aims to examine the punching shear strength of FRP-reinforced concrete slabs,
which is a complex behavior affected by several mechanisms and many variables. In this …

Mechanical properties of hybrid steel-polypropylene fiber reinforced high strength concrete exposed to various temperatures

M Tawfik, A El-said, A Deifalla, A Awad - Fibers, 2022 - mdpi.com
Combining different types of fibers inside a concrete mixture was revealed to improve the
strength properties of cementitious matrices by monitoring crack initiation and propagation …

Metaheuristic optimization of random forest for predicting punch shear strength of FRP-reinforced concrete beams

P Yang, C Li, Y Qiu, S Huang, J Zhou - Materials, 2023 - mdpi.com
Predicting the punching shear strength (PSS) of fiber-reinforced polymer reinforced concrete
(FRP-RC) beams is a critical task in the design and assessment of reinforced concrete …

[HTML][HTML] Machine-learning-based predictive models for punching shear strength of FRP-reinforced concrete slabs: a comparative study

W Xu, X Shi - Buildings, 2024 - mdpi.com
This study is focused on the punching strength of fiber-reinforced polymer (FRP) concrete
slabs. The mechanical properties of reinforced concrete slabs are often constrained by their …

[HTML][HTML] Reliability-based assessment and optimization for the two-way shear design of lightweight reinforced concrete slabs using the ACI and EC2

S Alkhatib, A Deifalla - Case Studies in Construction Materials, 2022 - Elsevier
Recent brittle two-way shear failures have made assessing strength models a topic of
interest. In addition, the economic alternatives have made lightweight reinforced concrete …

Improving predictive accuracy for punching shear strength in fiber-reinforced polymer concrete slab-column connections via robust deep learning

A Babiker, YM Abbas, MI Khan, JM Khatib - Structures, 2024 - Elsevier
Amidst the evolving landscape of structural engineering, this study addresses the pressing
need for a robust, data-driven model in the context of alternative reinforcement techniques …

Prediction of punching shear strength in flat slabs: ensemble learning models and practical implementation

KL Nguyen, HT Trinh, TM Pham - Neural Computing and Applications, 2024 - Springer
This study proposes new models to predict the punching shear strength of flat slabs without
transverse reinforcement by harnessing the power of machine learning through ensemble …

A novel support-vector-machine-based grasshopper optimization algorithm for structural reliability analysis

Y Yang, W Sun, G Su - Buildings, 2022 - mdpi.com
Aiming at the characteristics of high computational cost, implicit expression and high
nonlinearity of performance functions corresponding to large and complex structures, this …

[HTML][HTML] Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models

AS Albostami, SA Mohamad, S Alzabeebee… - Engineering …, 2025 - Elsevier
This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective
Genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and Gene Expression …

Punching shear strength of fiber-reinforced polymer concrete slabs: Database-driven assessment of parameters and prediction models

A Alateyat, R Awad, B Ibrahim, MT Junaid… - Engineering …, 2024 - Elsevier
This study examines the punching shear capacity of Fiber-Reinforced Polymer Concrete
Slabs (FRPCS). Utilizing a database of 272 experimental interior and edge column …