Shear strength prediction—plastic method

Shear strength prediction of simple deep reinforced concrete beams by method of strut-and-tie model is presented in this paper. The tested specimens were designed according to Appendix A of ACI 318-11 code with variations of shear span-to-effective depth ratios and ratios of horizontal and vertical crack-controlling reinforcement. Test results revealed that at the same shear span-to-effective depth ratio, the various crack-controlling reinforcements significantly influenced on strength reduction coefficients of strut and failure modes. When the shear span-to-effective depth ratios were increased, failure modes changed from splitting diagonal strut to flexural-shear failure. Based on the test results, the proposed model was compared with Appendix A of ACI 318-11code.

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Peak shear strength prediction for discontinuities between two different rock types using a neural network approach

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-018-1290-x ◽

2018 ◽

Vol 78 (4) ◽

pp. 2315-2329 ◽

Cited By ~ 3

Author(s):

Qiong Wu ◽

Yanjun Xu ◽

Huiming Tang ◽

Kun Fang ◽

Yaofei Jiang ◽

...

Keyword(s):

Neural Network ◽

Shear Strength ◽

Strength Prediction ◽

Peak Shear Strength ◽

Network Approach ◽

Neural Network Approach ◽

Rock Types

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Longitudinal shear strength prediction for steel-concrete composite slabs with additional reinforcement bars

Journal of Constructional Steel Research ◽

10.1016/j.jcsr.2019.105908 ◽

2020 ◽

Vol 166 ◽

pp. 105908 ◽

Cited By ~ 3

Author(s):

Luiz Gustavo Fernandes Grossi ◽

Carol Ferreira Rezende Santos ◽

Maximiliano Malite

Keyword(s):

Shear Strength ◽

Longitudinal Shear ◽

Strength Prediction ◽

Composite Slabs

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Shear strength predictionplastic method

Introducing strut efficiency factor in the softened strut and tie model for the ultimate shear strength prediction of steel RC deep beams based on experimental study

Proposition of new computer artificial intelligence models for shear strength prediction of reinforced concrete beams

Shear strength prediction of reinforced-concrete beams based on fuzzy theory

Concrete-to-concrete interface shear strength prediction based on explainable extreme gradient boosting approach

Evolutionary Polynomial Regression Algorithm Enhanced with a Robust Formulation: Application to Shear Strength Prediction of RC Beams without Stirrups

Shear strength prediction of reinforced concrete walls

Shear strength prediction of FRP reinforced concrete members using generalized regression neural network

Shear Strength Prediction of Reinforced Concrete Deep Beams Using Strut-and-Tie Model

Peak shear strength prediction for discontinuities between two different rock types using a neural network approach

Longitudinal shear strength prediction for steel-concrete composite slabs with additional reinforcement bars

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Shear strength predictionplastic method

Introducing strut efficiency factor in the softened strut and tie model for the ultimate shear strength prediction of steel RC deep beams based on experimental study

Proposition of new computer artificial intelligence models for shear strength prediction of reinforced concrete beams

Shear strength prediction of reinforced-concrete beams based on fuzzy theory

Concrete-to-concrete interface shear strength prediction based on explainable extreme gradient boosting approach

Evolutionary Polynomial Regression Algorithm Enhanced with a Robust Formulation: Application to Shear Strength Prediction of RC Beams without Stirrups

Shear strength prediction of reinforced concrete walls

Shear strength prediction of FRP reinforced concrete members using generalized regression neural network

Shear Strength Prediction of Reinforced Concrete Deep Beams Using Strut-and-Tie Model

Peak shear strength prediction for discontinuities between two different rock types using a neural network approach

Longitudinal shear strength prediction for steel-concrete composite slabs with additional reinforcement bars

Shear strength predictionplastic method