A multilayer perceptron for predicting the ultimate shear strength of reinforced concrete beams

Author(s):  
Ayman Ahmed Seleemah
2021 ◽  
Vol 1200 (1) ◽  
pp. 012015
Author(s):  
S J S Hakim ◽  
M A H Mohd Rodzi ◽  
S S Ayop ◽  
S Shahidan ◽  
S N Mokhatar ◽  
...  

Abstract The primary purpose of reinforcing bar stirrups in a reinforced concrete beam is to improve shear strength. The FRP system may significantly improve a concrete beam’s ultimate shear strength, serviceability, and ductility. The application of FRP for the repair and reinforcement of the structures has become very popular due to its low weight, high tensile strength, and simplicity of installation on uneven surfaces. FRP material outperforms other traditional materials in strengthening applications due to its high strength-to-weight and stiffness-to-weight ratios, resistance to corrosion, and ease of handling. The overall objective of this research is to investigate and improve the understanding of the recent research in the area of shear FRP strengthening of reinforced concrete beams. In this paper, recent publications were reviewed to see how different anchoring procedures, different factors that affect FRP performance and different failure scenarios affect the shear strengthening of concrete beams. The benefits and limits of FRP systems, as well as some current research trends are discussed in this project. From the research, it can be stated that type of anchorage technique and different parameter give a different impact to failure mode of the beam.


Author(s):  
Ali Kaveh ◽  
Armin Dadras Eslamlou ◽  
Roya Mahdipour Moghani

Despite the importance and accuracy of empirical models, most of the existing models are only accurate on the collected experimental data. Adding new data, or even considering noise or variance in the data leads to loss of model accuracy. The objective of this paper is to alleviate overfitting and develop a more accurate and reliable alternative method using a decision-tree-based ensemble Machine Learning algorithm that uses a gradient boosting framework for the prediction of the ultimate shear strength of FRP-reinforced concrete beams without stirrups. To enhance the robustness of the results, make full use of training samples (without the validation set), and alleviate the randomness in selecting test samples, the K-Fold Cross Validation method is employed. Using a dataset including 205 samples, results show that the extreme gradient boosting framework (XGBoost) providing better prediction. In fact, XGBoost results have higher precision and higher generalization in comparison with the empirical equations, the current design codes of practice, Least Absolute Shrinkage and Selection Operator model (LASSO), and Random Forest model (RF).


2019 ◽  
Vol 7 (1) ◽  
pp. 1-9
Author(s):  
Sarmad Sh. Abdulqader

This paper presents an experimental study of structural behavior of self-compacting reinforced concrete beams strengthened in shear by inclined CFRP strips. The experimental work consists of casting and testing of nine simply supported reinforced concrete beams. In this study, three parameters were considered, the configuration of CFRP sheets wrapping system, i.e two sides and U-shape, effect of horizontal strap of CFRP strips and CFRP strengthening area. The results showed that the presence of the horizontal strap of CFRP strips on the inclined strips increases the shear strength and the ultimate carrying load capacity by 8 to 15% and 7 to 10%, respectively in compare with the wrapping system of the CFRP strips.


2021 ◽  
Vol 230 ◽  
pp. 111705
Author(s):  
Yuxing Yang ◽  
Amit H. Varma ◽  
Michael E. Kreger ◽  
Ying Wang ◽  
Kai Zhang

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