THE INVESTIGATION OF THE STRENGTH REDUCTION FACTOR IN PREDICTING THE SHEAR STRENGTH

被引:0
作者
Arslan, Guray [1 ]
Alacali, Sema Noyan [1 ]
Sagiroglu, Ali [1 ]
机构
[1] Yildiz Tekn Univ, Dept Civil Engn, Istanbul, Turkey
关键词
reinforced concrete; beam; shear strength; reduction factor; target reliability; REINFORCED-CONCRETE BEAMS; RELIABILITY-BASED DESIGN; WEB REINFORCEMENT; MEMBERS; PERFORMANCE; RESISTANCE; STIRRUPS; SLABS; CODE;
D O I
暂无
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Design codes propose to restrict the nominal probability of failure within specific target structural reliability levels using a load factor and a strength reduction factor. In the current ACI318 Code, the strength reduction factor varies from 0.65 to 0.90, and the value considered in predicting the shear strength equals to 0.75. In this study, the change in the strength reduction factor in predicting the shear strength according to ACI318 has been investigated for different coefficients of variation of concrete compressive strength by using the first-order second moment approach, and the strength reduction factor is proposed for the target values of failure probability.
引用
收藏
页码:371 / 381
页数:11
相关论文
共 50 条
  • [31] Shear strength of longitudinally reinforced recycled aggregate concrete beams
    Rahal, K. N.
    Alrefaei, Y. T.
    [J]. ENGINEERING STRUCTURES, 2017, 145 : 273 - 282
  • [32] Influence of the plastic hinge rotations on shear strength in continuous reinforced concrete beams with shear reinforcement
    Monserrat Lopez, Andrea
    Miguel Sosa, Pedro Fco
    Bonet Senach, Jose Luis
    Fernandez Prada, Miguel Angel
    [J]. ENGINEERING STRUCTURES, 2020, 207
  • [33] Theoretical modeling for predicting the shear strength of partially-encased composite members with multiple transverse stiffeners
    Xue, Yicong
    Zhang, Xu
    Gong, Yaqi
    Zhang, Mingyang
    Yang, Yong
    Yu, Yunlong
    [J]. STRUCTURES, 2023, 56
  • [34] Predicting the shear strength of reinforced concrete beams using artificial neural networks
    Mansour, MY
    Dicleli, M
    Lee, JY
    Zhang, J
    [J]. ENGINEERING STRUCTURES, 2004, 26 (06) : 781 - 799
  • [35] Predicting the shear strength of rectangular RC beams strengthened with externally-bonded FRP composites using constrained monotonic neural networks
    Benzaamia, Ali
    Ghrici, Mohamed
    Rebouh, Redouane
    Zygouris, Nikos
    Asteris, Panagiotis G.
    [J]. ENGINEERING STRUCTURES, 2024, 313
  • [36] Predicting Shear Strength of Reinforced Concrete Knee Joints in Closing and Opening Actions
    Mogili, Srinivas
    Kuan, J. S.
    Hwang, Shyh-Jiann
    [J]. JOURNAL OF STRUCTURAL ENGINEERING, 2020, 146 (06)
  • [37] An Investigation of the Concrete Contribution to Shear Strength of RC Columns Failing in Flexure
    Guray Arslan
    Muzaffer Borekci
    Muzaffer Balci
    Melih Hacisalihoglu
    [J]. International Journal of Civil Engineering, 2016, 14 : 151 - 160
  • [38] An Investigation of the Concrete Contribution to Shear Strength of RC Columns Failing in Flexure
    Arslan, Guray
    Borekci, Muzaffer
    Balci, Muzaffer
    Hacisalihoglu, Melih
    [J]. INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, 2016, 14 (3A) : 151 - 160
  • [39] Investigation on Shear Strength of Fiber Reinforced GPC Exposed to Elevated Temperatures
    Prasad, B. Vijaya
    Balamurali, K.
    Anand, N.
    Arumairaj, P. D.
    Francis, Ajwin Jose
    Aaron, S. Samuel
    Naser, M. Z.
    [J]. FIRE AND MATERIALS, 2025,
  • [40] Investigation of shear strength of SCC beams with hybrid fiber as experimental and statistical
    Turk, Kazim
    Bassurucu, Mahmut
    Oztekin, Erol
    [J]. SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2023, 41 (04): : 677 - 688