Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Shear Strength Prediction of Reinforced Concrete Deep Beams Using Strut-and-Tie Model
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.
Shear Strength Prediction of Reinforced Concrete Deep Beams Using Strut-and-Tie Model
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.
Shear Strength Prediction of Reinforced Concrete Deep Beams Using Strut-and-Tie Model
Advanced Materials Research ; 931-932 ; 468-472
09.05.2014
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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