Journal of the Korean Geotechnical Society (한국지반공학회논문집)

Korean Geotechnical Society (한국지반공학회)
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Evaluation of Reinforcement Efficiency and Applicability Using a Reinforcement Method for Liquefiable Ground

액상화 발생 지반에 대한 보강공법 별 보강 효과 및 적용성 분석

  • Yoo, Mintaek (Department of Civil and Environmental Engineering, Gachon Univ.) ;
  • Han, Jin-Tae (Department of Geotechnical Engineering, Korea Institute of Civil Engineering and Building Technology) ;
  • Park, Youngjun (Geotechnics & Tunnel Division, Seohyun Engineering) ;
  • Kim, Seok-Jung (Planning and Coordination Department, Korea Institute of Civil Engineering and Building Technology)
  • 유민택 (가천대학교 토목환경공학과 ) ;
  • 한진태 (한국건설기술연구원 지반연구본부) ;
  • 박영준 ((주)서현기술단 지반터널본부 ) ;
  • 김석중 (한국건설기술연구원 경영기획실)
  • Received : 2023.03.21
  • Accepted : 2023.04.03
  • Published : 2023.05.31
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Abstract

This study reviewed the liquefaction reinforcement and ground reinforcement methods widely used domestically and abroad through construction method characteristics and analyzed the economic feasibility and reinforcement efficiency of each reinforcement method. The analysis results were used to evaluate the applicability of the appropriate reinforcement method for the liquefaction reinforcement of new and existing structures. As a result of evaluating the applicability of the reinforcement method based on the economic feasibility and reinforcement effect of each reinforcement method, the compaction method, which secures the construct ability by applying large equipment, is advantageous when reinforcing a new structure, and the low-fluidity mortar injection method (C.G.S method) and the high-pressure injection method (J.S.P method) are considered appropriate in the existing structure.

본 연구에서는 국내외에서 널리 사용되고 있는 액상화 보강 및 지반 보강 공법들에 대해 공법 특성별로 검토하고, 각 보강방안의 경제성 및 보강효과를 분석하였다. 또한 분석 결과를 바탕으로 신설구조물 및 기존구조물의 액상화 보강시 적절한 보강 방안 적용성 평가를 수행하였다. 보강방안 별 경제성, 보강효과를 바탕으로 보강 방안의 적용성을 평가한 결과, 신설 구조물의 보강시에는 대형장비를 적용하여 시공성이 확보되는 다짐계열 공법이 유리하며, 기존 구조물에서는 저유동성 몰탈 주입공법(C.G.S공법) 및 고압분사공법(J.S.P공법)의 적용이 적절할 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부 한국건설기술연구원 연구운영비지원(주요사업)사업으로 수행되었습니다(과제번호 20230105-001, 인공지능을 활용한 대심도 지하 대공간의 스마트 복합 솔루션 개발 - 미래 지하 대공간 안전을 위한 스마트 복합 솔루션 개발).

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