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Interpretable predictive model for shield attitude control performance based on XGboost and SHAP.

Min Hu1,2, Haolan Zhang3,4, Bingjian Wu1,2

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This study introduces an Interpretable Predictive Model for Shield attitude Control Performance (IPM_SCP) to address issues in shield tunneling. The model accurately predicts performance declines and provides guidance for parameter adjustments, improving tunnel quality.

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Area of Science:

  • Civil Engineering
  • Geotechnical Engineering
  • Tunneling Technology

Background:

  • Shield tunneling operations frequently encounter abnormal situations characterized by a sudden decline in attitude control performance.
  • This performance degradation complicates shield operation, leading to deviations from the design axis and negatively impacting tunnel construction quality.
  • Identifying the complex causes of poor control performance and selecting appropriate countermeasures presents a significant challenge in the field.

Purpose of the Study:

  • To develop an interpretable and predictive model for assessing shield attitude control performance.
  • To provide actionable insights for adjusting parameters to mitigate performance declines during tunneling.
  • To enhance the overall quality and efficiency of tunnel construction projects.

Main Methods:

  • Implementation of an Interpretable Predictive Model for Shield attitude Control Performance (IPM_SCP).
  • Utilizing an extreme gradient boosting (XGBoost) sub-model for predicting current shield control performance.
  • Employing the Shapley additive explanation (SHAP) sub-model to interpret the predictive model's outputs and identify influential factors.

Main Results:

  • The IPM_SCP model demonstrated effectiveness in predicting shield control performance.
  • The model successfully identified the most influential parameters affecting attitude control.
  • It provided specific directions for parameter adjustments to improve declining control performance.

Conclusions:

  • The IPM_SCP offers accurate parameter adjustment instructions when shield attitude control performance decreases.
  • This leads to improved tunnel construction quality and enhanced operational efficiency.
  • The model serves as a valuable tool for real-time decision-making in shield tunneling operations.