Journal of Korean Association for Spatial Structures (한국공간구조학회논문집)

Korean Association for Spatial Structures (한국공간구조학회)
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An Evaluation of Structural Performance of Reinforced Concrete Column Retrofitted with Grid Type Unit Details of Jacketing Method

격자형 유닛 상세를 가진 단면증설공법으로 보강된 철근콘크리트 기둥의 구조성능평가

  • Moon, Hong Bi (Department of Architecture engineering, Kyung Hee University) ;
  • Lee, Jeong In (Department of Architecture engineering, Kyung Hee University) ;
  • Lee, Young Hak (Department of Architecture engineering, Kyung Hee University)
  • 문홍비 (경희대학교 건축공학과) ;
  • 이정인 (경희대학교 건축공학과) ;
  • 이영학 (경희대학교 건축공학과)
  • Received : 2022.02.24
  • Accepted : 2022.03.10
  • Published : 2022.03.15
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Abstract

In the case of columns in buildings with soft story, the concentration of stress due to the difference in stiffness can damage the columns. The irregularity of buildings including soft story requires retrofit because combined load of compression, bending, shear, and torsion acts on the structure. Concrete jacketing is advantageous in securing the strength and stiffness of existing members. However, the brittleness of concrete make it difficult to secure ductility to resist the large deformation, and the complicated construction process for integrity between the existing member and extended section reduces the constructability. In this study, two types of Steel Grid Reinforcement (SGR), which are Steel Wire Mesh (SWM) for integrity and Steel Fiber Non-Shrinkage Mortar (SFNM) for crack resistance are proposed. One reinforced concrete (RC) column with non-seismic details and two columns retrofitted with each different types of proposed method were manufactured. Seismic performance was analyzed for cyclic loading test in which a combined load of compression, bending, shear, and torsion was applied. As a result of the experiment, specimens retrofitted with proposed concrete jacketing method showed 862% of maximum load, 188% of maximum displacement and 1,324% of stiffness compared to non-retrofitted specimen.

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Acknowledgement

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No. 2020R1A2C2009351).

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