Journal ArticleDOI
A new formula of punching shear strength for fiber reinforced polymer (FRP) or steel reinforced two-way concrete slabs
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In this paper, a new punching shear strength formula for either FRP or steel reinforced two-way concrete slabs based on deterministic and probabilistic methods was proposed.About:
This article is published in Composite Structures.The article was published on 2021-03-01. It has received 21 citations till now. The article focuses on the topics: Fibre-reinforced plastic.read more
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Journal ArticleDOI
Punching shear strength and deformation for FRP-reinforced concrete slabs without shear reinforcements
TL;DR: In this article , a new mechanical model was developed and proposed based on the critical shear crack theory (CSCT), which can predict both the strength and rotation of FRP-reinforced concrete slabs under punching shear.
Journal ArticleDOI
Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms
TL;DR: In this article , three ML algorithms, including support vector regression (SVR), random forest (RF), and extreme gradient boosting (XGBoost), were evaluated for the prediction of the punching shear strength of FRP-C slabs without shear reinforcement.
Journal ArticleDOI
Evaluation of the Strength of Slab-Column Connections with FRPs Using Machine Learning Algorithms
Nermin M. Salem,A. Deifalla +1 more
TL;DR: In this paper , the ensembled boosted tree model showed the best, most precise prediction with the highest coefficient of determination (R2) (0.98), the lowest Root Mean Square Error (RMSE) (44.12 kN), and the lowest Mean Absolute Error (MAE) (35.95 kN).
Journal ArticleDOI
Punching Shear Strength of FRP-Reinforced Concrete Slabs without Shear Reinforcements: A Reliability Assessment
Soliman Alkhatib,A. Deifalla +1 more
TL;DR: In this paper , the reliability of FRP-reinforced concrete slabs' existing punching shear models was evaluated using three reliability methods, including the mean-value first-order second moment (MVFOSM), the first-orderspectral moment (FOV) method, and the second-order reliability method (SORM).
Journal ArticleDOI
Interpretable Machine Learning Models for Punching Shear Strength Estimation of FRP Reinforced Concrete Slabs
TL;DR: This study established machine learning-based models to accurately predict the punching shear strength of FRP reinforced concrete slabs and introduces 6 empirical models and design codes for comparative analysis, demonstrating that adaptive boosting has the highest predicted precision.
References
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Book
Probability Concepts in Engineering Planning and Design
TL;DR: This research attacked the mode confusion problem by developing a modeling framework called “model schizophrenia” to estimate the posterior probability of various modeled errors.
Journal ArticleDOI
Probability concepts in engineering planning and design, vol i : basic principles
Alfredo Ang H.-S.,H. Wilson Tang +1 more
Proceedings ArticleDOI
Guide for the Design and Construction of Concrete Reinforced with FRP Bars (ACI 440.1R-03)
TL;DR: The guide for the design and construction of concrete reinforced with FRP bars is published by the American Concrete Institute (ACI) as discussed by the authors, which has been used as the internal reinforcement in concrete members to replace conventional steel rebars.
Related Papers (5)
Analytical Model to Predict Punching Shear Strength of FRP-Reinforced Concrete Flat Slabs
A design model for punching shear of FRP-reinforced slab-column connections
D.D. Theodorakopoulos,R.N. Swamy +1 more