Optimization of tunnel support patterns using DEA

차분진화 알고리즘을 적용한 터널 지보패턴 최적화

  • 강경남 (인하대학교 토목공학과) ;
  • 안준상 ((주)베이시스소프트 건설IT연구소) ;
  • 김병찬 ((주)베이시스소프트 건설IT연구소) ;
  • 송기일 (인하대학교 토목공학과)
  • Received : 2017.12.19
  • Accepted : 2018.01.08
  • Published : 2018.01.31


It is important to design tunnel support system considering the various loads acting on the tunnel because they have a direct impact on the stability of tunnels. In Korea, standardized support patterns are defined based on the rock mass classification system depending on the project, and it is stated that it should be modified appropriately considering the behavior of tunnel during construction. In this study, the tunnel support pattern optimization method is suggested based on the convergence-confinement method, earth pressure, axial force of rock bolt, and moment acting on the shotcrete. The length and spacing of the rock bolts and the thickness of the shotcrete were optimized by using the differential evolution algorithm (DEA) and the results were compared to the standard support pattern III for railway tunnel. Rock bolt length can be reduced and the installation interval can be widened for shallow tunnel. As the depth of tunnel increases, the thickness of shotcrete increases linearly. Therefore, the thickness of shotcrete should be thicker than the standard support pattern as the depth of tunnel increases to secure the stability of tunnel.


Grant : 대심도 복층터널 설계 및 시공 기술개발

Supported by : 국토교통과학기술진흥원


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