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하이브리드 슈퍼코팅(HSC)과 유리섬유를 통한 조적조 내진보강 연구 KCI 등재

Experimental Study of Hybrid Super Coating (HSC) and Cast Reinforcement for Masonry Wall

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  • URLhttps://db.koreascholar.com/Article/Detail/409515
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한국지진공학회 (Earthquake Engineering Society of Korea)
초록

Many Korean domestic masonry structures constructed since 1970 have been found to be vulnerable to earthquakes because they lack efficient lateral force resistance. Many studies have shown that the brick and mortar suddenly experience brittle fracture and out-of-plane collapse when they reach the inelastic range. This study evaluated the seismic retrofitting of non-reinforced masonry with Hybrid Super Coating (HSC) and Cast, manufactured using glass fiber. Four types of specimen original specimen (BR-OR), one layered HSC (BR-HS-O), two-layered HSC (BR-HS-B), one layered HSC, and Cast (BR-CT-HS-O) were constructed and analyzed using compression, flexural tensile, diagonal compression, and triplet tests. The specimen responses were presented and discussed in load-displacement curves, maximum strength, and crack propagation. The compressive strength of the retrofit specimens slightly increased, while the flexural tensile strength of the retrofit specimens increased significantly. In addition, the HSC and Cast also produced a considerable increase in the ductile response of specimens before failure. Diagonal compression test results showed that HSC delayed brittle cracks between the mortar and bricks and resulted in larger displacement before failure than the original brick. The triplet test results confirmed that the bonding strength of the retrofit specimens also increased. The application of HSC and Cast was found to restrain the occurrence of brittle failure effectively and delayed the collapse of masonry wall structures.

목차
A B S T R A C T
1. 서 론
2. 실험계획
    2.1 실험체 및 보강재 개요
    2.2 실험체 제작과정
3. 조적조 실험결과 및 분석
    3.1 프리즘 압축강도 실험
    3.2 휨인장강도 실험
    3.3 사인장 전단강도 실험
    3.4 수평줄눈 전단강도 실험
    3.5 RC골조 조적벽 보강 시 예상 거동
4. 결 론
REFERENCES
저자
  • 이가윤(세종대학교 딥러닝건축연구소 건축공학과) | Lee Ga Yoon (Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University)
  • 문아해(에이톰엔지니어링) | Moon A hea (Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University)
  • 이승준(에이톰엔지니어링) | Lee Seung Jun (Atom Engineering)
  • 김재현(에이톰엔지니어링) | Kim Jae Hyun (Atom Engineering)
  • 이기학(세종대학교 딥러닝건축연구소 건축공학과) | Lee Kihak (eep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University) Corresponding author