Predicting the shear strength of reinforced concrete beams using artificial neural networks

Mansour, MY
Dicleli, Murat
Lee, JY
Zhang, J
The application of artificial neural networks (ANNs) to predict the ultimate shear strengths of reinforced concrete (RC) beams with transverse reinforcements is investigated in this paper. An ANN model is built, trained and tested using the available test data of 176 RC beams collected from the technical literature. The data used in the ANN model are arranged in a format of nine input parameters that cover the cylinder concrete compressive strength, yield strength of the longitudinal and transverse reinforcing bars. the shear-span-to-effective-depth ratio, the span-to-effective-depth ratio, beam's cross-sectional dimensions, and the longitudinal and transverse reinforcement ratios. The ANN model was found to predict the ultimate shear stress well within the range of input parameters considered. The average value of the experimental shear strength to predicted shear strength ratios of the 176 specimens is 1.003. The ANN shear strength predicted results were also compared to those obtained using building codes' empirical equations and various-compatibility aided softened truss model theories. The results show that ANNs have strong potential as a feasible tool for predicting the ultimate shear strength of RC beams with transverse reinforcement within the range of input parameters considered. Finally, the ANN model was used to show that it could perform parametric studies to evaluate the effects of some of the inputs parameters on the chosen output.


Quantification and localisation of damage in beam-like structures by using artificial neural networks with experimental validation
Şahin, Melin (Elsevier BV, 2003-12-01)
This paper presents a damage detection algorithm using a combination of global (changes in natural frequencies) and local (curvature mode shapes) vibration-based analysis data as input in artificial neural networks (ANNs) for location and severity prediction of damage in beam-like structures. A finite element analysis tool has been used to obtain the dynamic characteristics of intact and damaged cantilever steel beams for the first three natural modes. Different damage scenarios have been introduced by redu...
Upgrading of slab-column connections using fiber reinforced polymers
Binici, Barış (Elsevier BV, 2005-01-01)
The results of an experimental program on upgrading of reinforced concrete slab-column connections subjected to monotonic shear and unbalanced moment transfer are presented in this study. Externally installed carbon fiber reinforced polymer (CFRP) stirrups acting as shear reinforcement around the slab-column connection area were used with two patterns of CFRP arrangements. It was found that the proposed method resulted in punching shear capacity increases up to 60% relative to the specimen without any stren...
Analytical formulation of maximum length limits of integral bridges on cohesive soils
Dicleli, Murat (Canadian Science Publishing, 2005-08-01)
This paper presents an analytical approach for predicting the length limits of integral bridges built on cohesive soils based on the flexural strength of the abutments and the low cycle fatigue performance of the steel H-piles at the abutments under cyclic thermal loading. First, H-piles that can accommodate large inelastic deformations are determined considering their local buckling instability. Then, a damage model is used to determine the maximum cyclic deformations that such piles can sustain. Next, non...
Test method for appraising future durability of new concrete bridge decks
Yaman, İsmail Özgür; Aktan, H.M.; Hearn, N.; Staton, J.F. (SAGE Publications, 2002-01-01)
The nondestructive test procedure for quantifying the future durability of bridge deck concrete is based on the fundamental relationship between ultrasonic pulse velocity (UPV) and the permeability of an elastic medium. An experimental study using standard concrete cylindrical specimens (ASTM C192) documented adequate sensitivity between UPV and permeability. The test procedure uses a parameter directly proportional to increase in-field concrete permeability called paste quality loss (PQL). The PQL is compu...
Nonlinear analysis of R/C low-rise shear walls
Mansour, Mohamad Y.; Dicleli, Murat; Lee, Jung Yoon (SAGE Publications, 2004-08-01)
An analysis method for predicting the response of low-rise shear walls under both monotonic and cyclic loading is presented in this paper. The proposed analysis method is based on the softened truss model theory but utilizes newly proposed cyclic constitutive relationships for concrete and steel bars obtained from cyclic shear testing. The successfulness of the analysis method, when combined with new materials constitutive relationships, is checked against the test results of 33 low-rise shear walls reporte...
Citation Formats
M. Mansour, M. Dicleli, J. Lee, and J. Zhang, “Predicting the shear strength of reinforced concrete beams using artificial neural networks,” ENGINEERING STRUCTURES, pp. 781–799, 2004, Accessed: 00, 2020. [Online]. Available: