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Deformation Monitoring of Subway Track using by Automatic Measurement

자동화계측을 통한 지하철 궤도 변형 모니터링연구

  • 최정열 (동양대학교 건설공학과) ;
  • 한재민 (동양대학교 건설공학과)
  • Received : 2023.10.20
  • Accepted : 2023.11.29
  • Published : 2024.01.31

Abstract

Currently, large-scale, deep construction is being carried out adjacent to subway tracks in korea. when excavating adjacent to each other, it is very important to ensure the safety of earth retaining structures and underground structures. therefore, we are managing the safety of the subway by introducing an automated measurement system. deformation of the subway track during adjacent excavation may affect train running stability. this is a factor that can be linked to train derailments. however, current subway track safety evaluation using automated measurement systems relies only on the maximum value of measured data. therefore, a method to improve the usability of automated measurement system results is needed. in this study, we utilized a technique that can quantitatively evaluate the measurement results of a large amount of subway track deformation. a safety evaluation was conducted on subway track deformation due to adjacent excavation using a vast amount of data using probabilistic statistical analysis techniques.

현재 우리나라는 지하철 선로를 인접하여 대규모, 대심도 굴착시공이 이루어지고 있다. 인접굴착공사 시 흙막이 구조물 및 지하구조물의 안전성 확보가 매우 중요하므로 자동화계측 시스템을 도입하여 지하철에 대한 안전성을 관리하고 있다. 인접굴착공사 시 지하철 궤도 변형은 열차주행안정성에 영향을 미칠 수 있으며, 이는 열차 탈선사고와 연결될 수 있는 인자이다. 그러나 현재 자동화계측 시스템을 이용한 지하철 궤도 안전성평가는 측정된 데이터의 최댓값에만 의존하여, 이상거동을 과소, 과대평가할 수 있는 기법이다. 따라서 자동화계측 시스템 결과의 활용도를 개선시킬 수 있는 방법이 필요한 실정이다. 이에 본 연구에서는 방대한 양의 지하철 궤도 변형 측정결과를 정량적으로 평가할 수 있는 기법인 가우시안 확률밀도함수 분석기법을 이용하여 분석하였다. 방대한 양의 데이터를 확률통계 분석기법을 이용하여 인접굴착공사에 따른 지하철 궤도 변형에 대한 안전성평가를 수행하였다.

Keywords

Acknowledgement

본 논문은 행정안전부 "광섬유 센서 기반 지하구조물 재난관리시스템 개발(과제번호: 20015728)"의 지원을 받아 작성되었음.

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