DOI QR코드

DOI QR Code

Post-yielding tension stiffening of reinforced concrete members using an image analysis method with a consideration of steel ratios

  • Lee, Jong-Han (Department of Civil Engineering, Inha University) ;
  • Jung, Chi-Young (Seismic Simulation Test Center, Pusan National University) ;
  • Woo, Tae-Ryeon (Department of Civil Engineering, Pusan National University) ;
  • Cheung, Jin-Hwan (Department of Civil Engineering, Pusan National University)
  • 투고 : 2018.06.01
  • 심사 : 2019.03.20
  • 발행 : 2019.04.25

초록

When designing reinforced concrete (RC) members, the rebar is assumed to resist all tensile forces, but the resistance of the concrete in the tension area is neglected. However, concrete can also resist tensile forces and increase the tensile stiffness of RC members, which is called the tension stiffening effect (TSE). Therefore, this study assessed the TSE, particularly after yielding of the steel bars and the effects of the steel ratio on the TSE. For this purpose, RC member specimens with steel ratios of 2.87%, 0.99%, and 0.59% were fabricated for uniaxial tensile tests. A vision-based non-contact measurement system was used to measure the behavior of the specimens. The cracks on the specimen at the stabilized cracking stage and the fracture stage were measured with the image analysis method. The results show that the number of cracks increases as the steel ratio increases. The reductions of the limit state and fracture strains were dependent on the ratio of the rebar. As the steel ratio decreased, the strain after yielding of the RC members significantly decreased. Therefore, the overall ductility of the RC member is reduced with decreasing steel ratio. The yielding plateau and ultimate load of the RC members obtained from the proposed equations showed very good agreement with those of the experiments. Finally, the image analysis method was possible to allow flexibility in expand the measurement points and targets to determine the strains and crack widths of the specimens.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)

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