This chapter provides a survey of additional TBM prediction approaches beyond the main prediction models featured earlier (CSM, NTNU, QTBM, UT) in this book. It covers theoretical, empirical (regression-based), and data-driven methods, highlighting their ranges of applicability, strengths, and limitations. It also discusses how these methods can complement established models, improve predictions under challenging ground, and inform decision-making in project planning.

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Other TBM Performance Prediction Methods

  • Jafar Hassanpour,
  • Jamal Rostami

摘要

This chapter provides a survey of additional TBM prediction approaches beyond the main prediction models featured earlier (CSM, NTNU, QTBM, UT) in this book. It covers theoretical, empirical (regression-based), and data-driven methods, highlighting their ranges of applicability, strengths, and limitations. It also discusses how these methods can complement established models, improve predictions under challenging ground, and inform decision-making in project planning.