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2018 Vol.28, Issue 6

Technical Note

Database Analysis for Estimating Design Parameters of Medium to Large-Diameter TBM

중대단면 TBM 설계 사양 예측을 위한 DB분석

Soon-Wook Choi1
,
Byungkwan Park2
,
Soo-Ho Chang3
,
Tae-Ho Kang4
,
Chulho Lee5*
최 순욱1
,
박 병관2
,
장 수호3
,
강 태호4
,
이 철호5*
1Department of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology
2Smart City & Construction Engineering, University of Science and Technology
3Construction Startup Promotion Center, Korea Institute of Civil Engineering and Building Technology
4Department of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology
5Department of Infrastructure Safety Research, Korea Institute of Civil Engineering and Building Technology
1한국건설기술연구원 인프라안전연구본부
2과학기술연합대학원대학교(UST) 스마트도시 건설융합 전공
3한국건설기술연구원 건설벤처창업센터
4한국건설기술연구원 인프라안전연구본부
5한국건설기술연구원 인프라안전연구본부
* Corresponding Author
31 December 2018. pp. 513-527
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Abstract

The Tunnel Boring Machine(TBM) is relatively insufficient to cope with unpredicted changes in ground conditions as compared with Conventional Tunnelling Methods. Therefore, it is very important to predict the TBM performance at the design stage and estimate the advance rate for the calculation of the construction period. In this study, we added data to 211 TBM databases constructed in the previous study and analyzed the correlation between TBM outer diameter, maximum thrust, maximum cutterhead torque, cutterhead driving power and RPM, which are the main design and manufacturing specifications of TBM. As a result of the analysis from results obtained in the previous studies, it was confirmed that TBM outer diameter is very effective and important in estimating maximum thrust, maximum cutterhead torque, and cutterhead driving power of the TBM. As a result of comparing the regression equations derived from other TBM databases outside the country and the regression equation obtained from the present study results, the maximum thrust showed a similar tendency to each other, but the maximum torque estimated from the regression equation of this study was higher than that of other countries in the case of the large scale TBM.

Keywords
Large Scale TBM
Tunnel
Specification
Database
Regression analysis

TBM은 사전에 예측하지 못한 지반조건의 변화에 대한 대응력이 재래식 공법과 비교할 때 상대적으로 낮기 때문에, 설계단계에서 TBM의 사전 성능예측과 공사기간 산정을 위한 굴진율 예측이 매우 중요하다. 기존 연구에서 구축된 211개의 TBM 데이터베이스에 신규 데이터를 추가하여 TBM의 핵심 제작 사양인 최대 추력, 커터헤드 최대 토크 및 회전속도, 커터헤드 구동력 사이의 상관관계를 지반조건에 따라 분석하였다. 기존 연구들에서와 같이 TBM의 최대추력, 최대토크, 구동력과 같은 기본 제작사양을 추정하는 데 있어 TBM 외경은 매우 중요한 정보임을 확인할 수 있었다. 국외의 TBM 데이터베이스로부터 도출된 회귀식과 본 연구로부터 얻어진 회귀식을 비교한 결과, 최대추력의 경우는 유사한 경향을 보였으나, 대단면 TBM에서 본 연구의 회귀식에서 추정된 최대토크가 국외의 회귀식보다 더 높게 추정하는 경향이 나타났다.

키워드
중대단면 TBM
터널
사양
데이터베이스
회귀분석
References
1
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Information
  • Publisher :Korean Society for Rock Mechanics and Rock Engineering
  • Publisher(Ko) :한국암반공학회
  • Journal Title :Tunnel and Underground Space
  • Journal Title(Ko) :터널과 지하공간
  • Volume : 28
  • No :6
  • Pages :513-527
  • Received Date : 2018-11-05
  • Revised Date : 2018-11-08
  • Accepted Date : 2018-11-12
  • DOI :https://doi.org/10.7474/TUS.2018.28.6.513
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