한국지반신소재학회논문집 (Journal of the Korean Geosynthetics Society)

  • 제21권3호
  • /
  • Pages.71-78
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  • 2022
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  • 2508-2876(pISSN)
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  • 2287-9528(eISSN)
한국지반신소재학회 (Korean Geosynthetics Society)
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암반 발파시험을 통한 지중변위센서의 적용성 연구

A Study on the Application of Ground Displacement Sensor by Rock Blasting Test

  • Lee, Seungjoo (Smart Geotech Co. Ltd.) ;
  • Jeong, Woocheol (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Eungbeom (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Suk, Songhee (Department of Regional Infrastructure Engineering, Kangwon National University) ;
  • Lee, Kangil (Department of Civil Engineering, Daejin University) ;
  • Kim, Yongseong (Department of Regional Infrastructure Engineering, Kangwon National University)
  • 투고 : 2022.09.06
  • 심사 : 2022.09.23
  • 발행 : 2022.09.30
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초록

본 연구에서는 사면 붕괴 위험을 사전에 신속히 감지하고 정확한 판단으로 예·경보를 발령할 수 있는 비교적 저렴하고 효율적인 사면 붕괴 예측 시스템을 개발하기 위하여 암반 발파시험을 통한 지중변위센서의 적용성을 고찰하였다. 발파실험에서 발파원과 가까운 곳에 위치한 센서가 발파에 따른 암반 내부 파쇄로 인해 큰 변위값을 나타내고 발파원과 떨어진 곳에 위치한 센서는 비교적 작은 변형량을 나타냈으나 계측기의 위치보다는 암반 불연속면의 분포 양상과 발파로 인한 사면 내부의 암반의 거동이 보다 더 지중변위센서에서 계측되는 변위값에 영향을 미치는 것으로 나타났다. 본 연구를 통해 유선 및 무선 type의 지중변위센서 시스템은 암반사면 거동 계측에 활용 가능한 시스템임을 확인하였으며, 사면 붕괴 예측용 조기경보 시스템 구축에 필요한 기초 자료로서 활용될 수 있을 것으로 사료된다.

In this study, the applicability of underground displacement sensors was considered through rock blasting tests to develop a relatively inexpensive and efficient slope failure prediction system that can quickly detect the risk of slope failure in advance and issue predictions and warnings with accurate judgment. In the blasting experiment, the sensor located close to the blasting source showed a large displacement due to crushing inside the rock and the sensor located away from the blasting source showed a relatively small strain. This study confirmed that the wired and wireless type underground displacement sensor system can be applied to measure the behavior of the rock slope, and it can be used as a basic data for establishing an early warning system to predict slope failure.

키워드

과제정보

This work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport(Grant RS-2022-00144281).

참고문헌

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