Assessment of shear capacity methods of steel fiber reinforced concrete beams using full scale prestressed bridge beams

被引:6
作者
Bendtsen, Bo [1 ]
Sanjayan, Jay G. [1 ]
机构
[1] Swinburne Univ Technol, Ctr Sustainable Infrastruct, Fac Sci Engn & Technol, Hawthorn, Vic 3122, Australia
关键词
Steel fibers; Concrete; Shear; Prestressed; Plastic method; fib Model Code; STIRRUPS; STRENGTH;
D O I
10.1617/s11527-014-0415-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Steel fiber addition in concrete is widely known to increase the non-flexural performance of concrete structures such as shear capacity. Design guides such as fib Model Code (2010) have recognised this effect and that these guidelines may become widely accepted. The current design guides are based on laboratory scale tests which may be compromised by the scale effects. This paper reports the results of full sized precast prestressed bridge beams that were fabricated and tested to shear failure. Two beams had steel fiber and two beams were plain concrete. None of the beams had any vertical shear reinforcements. The addition of steel fiber at the dosage of 60 kg per cubic metre resulted in more than twice the shear capacity as compared to the beams without steel fibers. The results of the fiber reinforced beams were compared with the calculated shear capacity of the fib Model Code (2010) and plastic design method. This paper presents a method to include prestress in previously developed plastic design method. The model code method predicted an increase of shear capacity of 22 % as compared to the experimental results of 112 % increase due to steel fiber addition. This demonstrates that the model code is not effective in taking into consideration of the contributions by steel fibers. The plastic design approach predicted an increase of shear capacity of 122 % which is close to the experimental values. Based on this full scale tests, the plastic design approach appears to be more suitable for estimation of shear capacity enhancement when steel fibers are used.
引用
收藏
页码:3473 / 3483
页数:11
相关论文
共 50 条
  • [31] Predicting the shear strength of steel fiber reinforced concrete beams
    Slater, Emma
    Moni, Moniruzzaman
    Alam, M. Shahria
    CONSTRUCTION AND BUILDING MATERIALS, 2012, 26 (01) : 423 - 436
  • [32] Shear strength of steel fiber-reinforced concrete beams
    Araujo, Daniel de Lima
    Tiburcio Nunes, Fernanda Gabrielle
    Toledo Filho, Romildo Dias
    Souza de Andrade, Moacir Alexandre
    ACTA SCIENTIARUM-TECHNOLOGY, 2014, 36 (03) : 389 - 397
  • [33] The Shear Capacity Estimation of Reinforced Concrete Short Beams with Steel Fiber by Digital Image Correlation Approach
    Hemstapat, Narawit
    Okubo, Kazumasa
    Niwa, Junichiro
    Iwanami, Mitsuyasu
    INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS, 2023, 17 (01)
  • [34] Shear capacity of inverted-U reinforced concrete bridge beams
    Rajakaruna, Mahes P.
    Vimonsatit, Vanissorn
    Wong, Koon W.
    AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING, 2022, 23 (03) : 177 - 188
  • [35] Database of Shear Experiments on Steel Fiber Reinforced Concrete Beams without Stirrups
    Lantsoght, Eva O. L.
    MATERIALS, 2019, 12 (06):
  • [36] Experimental behavior of reinforced concrete beams strengthened with prestressed CFRP shear straps
    Kesse, Gyamera
    Lees, Janet M.
    JOURNAL OF COMPOSITES FOR CONSTRUCTION, 2007, 11 (04) : 375 - 383
  • [37] SHEAR CAPACITY OF REINFORCED CONCRETE BEAMS USING RECYCLED COARSE AGGREGATES
    Ikponmwosa, Efe Ewaen
    Salau, Musbau Ajibade
    TMS2011 SUPPLEMENTAL PROCEEDINGS, VOL 3: GENERAL PAPER SELECTIONS, 2011, : 419 - 426
  • [38] Shear strength of steel fibre reinforced concrete beams with stirrups
    Amin, Ali
    Foster, Stephen J.
    ENGINEERING STRUCTURES, 2016, 111 : 323 - 332
  • [39] How do steel fibers improve the shear capacity of reinforced concrete beams without stirrups?
    Lantsoght, Eva O. L.
    COMPOSITES PART B-ENGINEERING, 2019, 175
  • [40] Evaluation of Shear Capacity of Steel Fiber Reinforced Concrete Beams without Stirrups Using Artificial Intelligence Models
    Yu, Yong
    Zhao, Xin-Yu
    Xu, Jin-Jun
    Wang, Shao-Chun
    Xie, Tian-Yu
    MATERIALS, 2022, 15 (07)