Development of machine learning models for reliable prediction of the punching shear strength of FRP-reinforced concrete slabs without shear reinforcements
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 …
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 …
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
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 …
(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 …
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 …
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
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 …
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
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 …
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 …
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
This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective
Genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and Gene Expression …
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
This study examines the punching shear capacity of Fiber-Reinforced Polymer Concrete
Slabs (FRPCS). Utilizing a database of 272 experimental interior and edge column …
Slabs (FRPCS). Utilizing a database of 272 experimental interior and edge column …