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TBM is a widely-used method for tunnel construction due to its safety and efficiency. Controlling the TBM to follow the designed route is crucial during tunneling operations. Although there has been extensive research on geological and physical characteristics, studies on TBM attitudes are limited. Currently, the laser positioning system experiences significant delays in capturing the TBM attitude. Operators adjust the TBM attitude manually, processing very limited data and selecting TBM parameters based on experience, which prevents them from anticipating future TBM attitudes. That makes operations short-sighted. Consequently, the wealth of time series data from TBM sensors underscores the urgent need to develop an accurate TBM attitude prediction approach.

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TBM Performance Prediction

  • 章节

  • 发表日期：

    2025年

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  • Limao Zhang,
  • Yue Pan,
  • Penghui Lin,
  • Mirosław J. Skibniewski

摘要

TBM is a widely-used method for tunnel construction due to its safety and efficiency. Controlling the TBM to follow the designed route is crucial during tunneling operations. Although there has been extensive research on geological and physical characteristics, studies on TBM attitudes are limited. Currently, the laser positioning system experiences significant delays in capturing the TBM attitude. Operators adjust the TBM attitude manually, processing very limited data and selecting TBM parameters based on experience, which prevents them from anticipating future TBM attitudes. That makes operations short-sighted. Consequently, the wealth of time series data from TBM sensors underscores the urgent need to develop an accurate TBM attitude prediction approach.