Shear failure of reinforced concrete beams
01 Oct 1971-Vol. 68, Iss: 10, pp 763-773
TL;DR: In this paper, an extensive test program for the investigation of the SHEAR RESISTANCE of reinforced CONCRETE beams was carried out and the results of these tests led to the classification of SHEAR FAILURES into four basic models: DIAGONAL TENSION, SHEARING, SHARING COMPRESSION, and WEB CRUSHING.
Abstract: AN EXTENSIVE TEST PROGRAM FOR THE INVESTIGATION OF THE SHEAR RESISTANCE OF REINFORCED CONCRETE BEAMS WAS CARRIED OUT. SIXTY-THREE T, I, AND RECTANGULAR BEAMS WITH VARYING CROSS SECTION, WEB REINFORCEMENT, LONGITUDINAL REINFORCEMENT, CONCRETE STRENGTH, AND SHEAR SPAN WERE TESTED. STUDY OF THESE AND OTHER RESULTS LEAD TO THE CLASSIFICATION OF SHEAR FAILURES INTO FOUR BASIC MODES. THESE MODES ARE DESCRIBED AND EQUATIONS DEVELOPED FOR THE CALCULATION OF COLLAPSE LOADS FOR FAILURES BY DIAGONAL TENSION, SHEARING, SHEAR COMPRESSION, AND WEB CRUSHING. THE ULTIMATE LOAD IN A GIVEN CASE IS INTRINSIC TO THE FAILURE MODE CORRESPONDING TO THE LEAST STRENGHT AFTER DIAGONAL CRACKING. A FORMULA FOR CALCULATING SHEAR CRACK WIDTHS IS PRESENTED. /AUTHOR/
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01 Sep 1984
265 citations
TL;DR: In this article, the authors developed a simple method for the design of fiber-reinforced polymer (FRP)-based reinforced concrete beams and determined if a common approach for steel and FRP-based members is possible.
Abstract: The aims of this research were to develop a simple method for the design of fiber-reinforced polymer (FRP)-reinforced beams and to determine if a common approach for steel and FRP-reinforced members is possible. A model is presented for calculating the concrete contribution to shear strength of reinforced concrete beams. The applicability of the model is supported by comparing the computed shear strengths with the experimental strengths of 370 specimens. The shear strength equation developed from the model is simplified to yield a design equation applicable for both steel and FRP-reinforced beams. The design equation is demonstrated to provide conservative results across the range of variables known to affect shear strength.
234 citations
TL;DR: In this paper, the authors used ANNs to predict the ultimate shear strength of reinforced concrete (RC) beams with transverse reinforcements, and the results showed that ANNs have strong potential as a feasible tool for predicting the ultimate strength of RC beams with reinforced reinforcement within the range of input parameters considered.
222 citations
TL;DR: In this paper, a review of research on shear strength of reinforced concrete members without stirrups is presented, and the results from this review can allow engineers to identify members in their own structure where a more conservative shear design procedure is appropriate.
Abstract: This paper presents a review of research on shear strength of reinforced concrete members without stirrups (shear reinforcement). A database of 1849 available experimental results from over the past 60 years is examined and these results are compared to predictions from current North American shear design procedures. Special attention is paid to the behavior of beams ranging from short span deep beams to members controlled by flexure. The findings from the review indicate that using the current ACI shear provisions to decide where shear reinforcement is required can be unconservative for members with larger effective depths, or higher stresses in the longitudinal reinforcement. Improvements to the ACI Code are proposed to mitigate these weaknesses. The AASHTO-LRFD and Canadian CSA sectional and strut-and-tie provisions are found to provide a more uniform level of safety for all member types. The results from this review can allow engineers to identify members in their own structure where a more conservative shear design procedure is appropriate.
173 citations
TL;DR: The preliminary results presented in this work reveal the crucial parameters that affect the value of the shear strength of reinforced concrete beams with or without transverse reinforcement.
Abstract: Despite the abundance of research works, both experimental and theoretical, conducted since the middle of the previous century up to today, the determination of the shear stress value is still remains an open issue of great interest in structural engineering. The need for further research is indicated by the fact that the majority of available proposals, whether proposed by regulatory agencies or various individuals researchers, lead to the estimation of different shear stress values; moreover, the comparison of estimated values with experimental values demonstrates that the available proposals lead to an overestimation or to an underestimation of the “true” shear stress. In this research study, the artificial neural networks approach is used to estimate the ultimate shear capacity of reinforced concrete beams with transverse reinforcement. More specifically, artificial neural network models have been examined for predicting the shear capacity of concrete beams, based on experimental test results available in the pertinent literature. The comparison of the consequent results with the corresponding experimental ones as well as with available formulas from previous research studies or code provisions makes obvious the ability of artificial neural networks to evaluate the shear capacity of reinforced concrete beams in a trustworthy and effective manner. Furthermore, the preliminary results presented in this work reveal the crucial parameters that affect the value of the shear strength of reinforced concrete beams with or without transverse reinforcement.
105 citations