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고로슬래그미분말 및 강섬유를 적용한 고유동 흙막이 벽체 재료의 성능 평가

Performance of High-Flowable Retaining Wall Material Using Ground Granulated Blast-Furnace Slag and Steel Fiber

  • Kim, Donggyou (Dept. of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Yu, Kangmin (Dept. of Civil Engineering, Kunsan National University) ;
  • Lee, Seungtae (Dept. of Civil Engineering, Kunsan National University)
  • 투고 : 2022.09.24
  • 심사 : 2022.10.16
  • 발행 : 2022.11.01

초록

본 연구는 고로슬래그미분말(SG) 및 강섬유(SF)를 적용한 고유동 흙막이 벽체 재료(RWM)의 역학적 성능을 평가하기 위한 것으로써, 흙막이 벽체 재료의 재료분리저항성, 유동성, 연행공기량을 확보하기 위하여 고성능감수제, 공기연행제 및 증점안정화제를 굳지 않은 흙막이 벽체 재료에 적정량을 사용하였다. 흙막이 벽체 재료 경화체의 강도특성을 고찰하기 위하여 압축, 할열 인장 및 휨강도를 소정의 재령에서 측정하였으며, 표면전기저항, 흡수율 실험을 통하여 흙막이 벽체 재료의 역학적 성능을 평가하였다. 실험결과에 따르면 SGC 배합은 OPC 배합에 비하여 대체적으로 우수한 성능을 나타내었으며, SF는 흙박이 벽체 재료의 역학적 성능향상에 효과적인 것으로 조사되었다. 특히, SG의 사용은 흙막이 벽체 재료의 장기강도 발현 뿐만 아니라 차수성능 향상에 기여할 것으로 판단된다.

The objective of this study is to evaluate the mechanical properties of high-flowable retaining wall material (RWM) incorporated with ground granulated blast-furnace slag (SG) and steel fiber (SF) based on a comparison with those of ordinary portland cement (OPC). To produce the specimens of RWM, some chemical agents such as superplasticizer (SP), air-entrained agent (AEA) and viscosity modifying agent (VMA) are added in the fresh RWM. The compressive, split tensile and flexural strength measurements were performed on the hardened RWM specimens. Additionally, surface electric resistivity and absorption tests according to ASTM standards were carried out at predetermined periods after water curing. It was found that the mechanical properties of slag cement concrete (SGC) RWM mix are better than those ordinary portland cement concrete (OPC) RWM mix. The effect of SF is remarkable to improve the mechanical properties of RWM mixes. It is noted that the usage of SG shows a beneficial effect to resist water penetration as well as long-term strength development of RWM mixes.

키워드

과제정보

본 논문은 한국건설기술연구원 주요사업 "인공지능을 활용한 대심도 지하 대공간의 스마트 복합 솔루션 개발" 연구과제에서 연구비를 지원받아 수행된 결과입니다. 이에 감사드립니다.

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