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Tunnel Overbreak Management System Using Overbreak Resistance Factor

여굴저항도를 이용한 터널 발파 여굴 관리 시스템

  • Jang, Hyongdoo (Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University)
  • 장형두 (서호주광산대학, 커틴대학교)
  • Received : 2020.01.06
  • Accepted : 2020.01.23
  • Published : 2020.02.29

Abstract

When tunnel is excavated via drilling and blasting, the excessive overbreak is the primary cause of personal or equipment safety hazards and increasing the cost of the tunnel operation owing to additional ground supports such as shotcrete. The practical management of overbreak is extremely difficult due to the complex causative mechanism of it. The study examines the relationship between rock mass characteristics (unsupported face condition, uniaxial compressive strength, face weathering and alteration, discontinuities- frequency, condition and angle between discontinuities and tunnel contour) and the depth of overbreak through using feed-forward artificial neuron networks. Then, Overbreak Resistance Factor (ORF) has been developed based on the weights of rock mass parameters to the overbreak phenomenon. Also, a new concept of tunnel overbreak management system using ORF has been suggested.

터널 발파의 최외곽에서 발생할 수 있는 과대 여굴은 작업자 및 장비의 안전에 저해되며 숏크리트 등 지보량의 증가로 공사 비용이 증가시키는 주요 원인이다. 이러한 여굴은 화약 에너지와 암반의 특성 간의 복잡한 발생 메커니즘으로 인해 완벽한 제어가 매우 어렵다. 본 연구는 여굴 발생의 중요한 원인인 암반의 공학적 특성 중 무지보 막장 상태, 단축압축강도, 풍화도 및 불연속면의 특성(빈도, 상태 및 불연속면과 최외곽선과의 각도) 등과 발생한 여굴의 깊이와의 관계를 feed-forward 인공신경망을 통해 분석하였다. 이를 통해 통해 얻어진 각 인자의 가중치를 기초로 여굴저항도(Overbreak Resistance Factor: ORF)를 개발하였다. 더불어 여굴저항도를 이용한 터널 발파 여굴 관리 시스템을 제안한다.

Keywords

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