Geomechanics and Engineering

  • 제29권5호
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  • Pages.523-533
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  • 2022
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Sequential prediction of TBM penetration rate using a gradient boosted regression tree during tunneling

  • Lee, Hang-Lo (Disposal Performance Demonstration Research Division, Korea Atomic Energy Research Institute) ;
  • Song, Ki-Il (Department of Civil Engineering, Inha University) ;
  • Qi, Chongchong (School of Resources and Safety Engineering, Central South University) ;
  • Kim, Kyoung-Yul (Next Generation Transmission & Substation Laboratory, KEPCO Research Institute)
  • 투고 : 2021.08.27
  • 심사 : 2022.01.13
  • 발행 : 2022.06.10
⟨ 이전 논문 다음 논문 ⟩

초록

Several prediction model of penetration rate (PR) of tunnel boring machines (TBMs) have been focused on applying to design stage. In construction stage, however, the expected PR and its trends are changed during tunneling owing to TBM excavation skills and the gap between the investigated and actual geological conditions. Monitoring the PR during tunneling is crucial to rescheduling the excavation plan in real-time. This study proposes a sequential prediction method applicable in the construction stage. Geological and TBM operating data are collected from Gunpo cable tunnel in Korea, and preprocessed through normalization and augmentation. The results show that the sequential prediction for 1 ring unit prediction distance (UPD) is R2≥0.79; whereas, a one-step prediction is R2≤0.30. In modeling algorithm, a gradient boosted regression tree (GBRT) outperformed a least square-based linear regression in sequential prediction method. For practical use, a simple equation between the R2 and UPD is proposed. When UPD increases R2 decreases exponentially; In particular, UPD at R2=0.60 is calculated as 28 rings using the equation. Such a time interval will provide enough time for decision-making. Evidently, the UPD can be adjusted depending on other project and the R2 value targeted by an operator. Therefore, a calculation process for the equation between the R2 and UPD is addressed.

키워드

과제정보

This research was supported by a grant (20SCIP-B105148-06) from the Construction Technology Research Program, funded by the Ministry of Land, Infrastructure, and Transport of the Korean government. This research was supported by a grant (21SCIP-B146946-04) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government.

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