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 under Loading Patterns

격자형 유닛 상세를 가진 단면증설공법으로 보강된 철근콘크리트 기둥의 하중가력패턴에 따른 구조성능평가

  • Moon, Hong Bi (Dept. of Architecture engineering, Kyung Hee University) ;
  • Ro, Kyong Min (Dept. of Architecture engineering, Kyung Hee University) ;
  • Lee, Young Hak (Dept. of Architecture engineering, Kyung Hee University)
  • 문홍비 (경희대학교 건축공학과) ;
  • 노경민 (경희대학교 건축공학과) ;
  • 이영학 (경희대학교 건축공학과)
  • Received : 2022.05.15
  • Accepted : 2022.06.14
  • Published : 2022.06.15
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Abstract

The collapse of reinforced concrete (RC) frame buildings is mainly caused by the failure of columns. To prevent brittle failure of RC column, numerous studies have been conducted on the seismic performance of strengthened RC columns. Concrete jacketing method, which is one of the retrofitting method of RC members, can enhance strength and stiffness of original RC column with enlarged section and provide uniformly distributed lateral load capacity throughout the structure. The experimental studies have been conducted by many researchers to analyze seismic performance of seismic strengthened RC column. However, structures which have plan and vertical irregularities shows torsional behavior, and therefore it causes large deformation on RC column when subjected to seismic load. Thus, test results from concentric cyclic loading can be overestimated comparing to eccentric cyclic test results, In this paper, two kinds of eccentric loading pattern was suggested to analyze structural performance of RC columns, which are strengthened by concrete jacketing method with new details in jacketed section. Based on the results, it is concluded that specimens strengthened with new concrete jacketing method increased 830% of maximum load, 150% of maximum displacement and changed the failure modes of non-strengthened RC columns.

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Acknowledgement

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

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