Structural Engineering and Mechanics

  • 제37권1호
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  • Pages.39-59
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  • 2011
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Shear strength analysis and prediction of reinforced concrete transfer beams in high-rise buildings

  • Londhe, R.S. (Government College of Engineering)
  • 투고 : 2009.11.30
  • 심사 : 2010.09.07
  • 발행 : 2011.01.10
⟨ 이전 논문 다음 논문 ⟩

초록

Results of an experimental investigation on the behavior and ultimate shear capacity of 27 reinforced concrete Transfer (deep) beams are summarized. The main variables were percent longitudinal(tension) steel (0.28 to 0.60%), percent horizontal web steel (0.60 to 2.40%), percent vertical steel (0.50to 2.25%), percent orthogonal web steel, shear span-to-depth ratio (1.10 to 3.20) and cube concrete compressive strength (32 MPa to 48 MPa).The span of the beam has been kept constant at 1000 mm with100 mm overhang on either side of the supports. The result of this study shows that the load transfer capacity of transfer (deep) beam with distributed longitudinal reinforcement is increased significantly. Also, the vertical shear reinforcement is more effective than the horizontal reinforcement in increasing the shear capacity as well as to transform the brittle mode of failure in to the ductile mode of failure. It has been observed that the orthogonal web reinforcement is highly influencing parameter to generate the shear capacity of transfer beams as well as its failure modes. Moreover, the results from the experiments have been processed suitably and presented an analytical model for design of transfer beams in high-rise buildings for estimating the shear capacity of beams.

키워드

참고문헌

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피인용 문헌

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  2. Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams vol.11, pp.3, 2013, https://doi.org/10.12989/cac.2013.11.3.237
  3. Shear behaviour of palm kernel shell reinforced concrete beams without shear Reinforcement: Influence of beam depth and tension steel vol.7, pp.2, 2016, https://doi.org/10.5897/JCECT2015.0394
  4. Shear Strengthening and Shear Repair of 2-Span Continuous RC Beams with CFRP Strips vol.21, pp.3, 2017, https://doi.org/10.1061/(ASCE)CC.1943-5614.0000756
  5. Experimental and Numerical Investigations of Composite Frames with Innovative Composite Transfer Beams vol.143, pp.7, 2017, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001776
  6. Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams vol.46, pp.6, 2013, https://doi.org/10.12989/sem.2013.46.6.853
  7. Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks vol.24, pp.5, 2019, https://doi.org/10.12989/cac.2019.24.5.469
  8. Shear strength and Characterization of Reinforced Concrete Deep Beams -A Review vol.1076, pp.1, 2011, https://doi.org/10.1088/1757-899x/1076/1/012122
  9. Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach vol.233, pp.None, 2011, https://doi.org/10.1016/j.engstruct.2020.111743
  10. Experimental Study on the Behavior of Steel-Concrete Composite Decks with Different Shear Span-to-Depth Ratios vol.11, pp.12, 2011, https://doi.org/10.3390/buildings11120624
  11. Analysis of influencing factors on shear behavior of the reinforced concrete deep beams vol.45, pp.None, 2011, https://doi.org/10.1016/j.jobe.2021.103383