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<p>During tunnel boring machine (TBM) tunnel construction, abrupt variations in shear strength can cause TBM jamming. Predicting the shear strength of rock is essential for both optimizing TBM tunneling parameters and improving construction efficiency. However, conventional methods for determining engineering properties are invasive, costly, and time-consuming. Additionally, because the TBM occupies the tunnel face, assessing changes in the surrounding rock ahead is challenging. Water content and porosity are the primary factors influencing the shear strength. The induced polarization (IP) method is sensitive to the response of water-bearing structures and porosity, making it suitable for determining the surrounding rock conditions ahead of the tunnel face. In order to investigate the shear strength distribution in front of tunnel face, a predictive model was established to relate IP multi-parameters and shear strength parameters including cohesion and internal friction angle based on petrophysical relationship. Specifically, the IP multi-parameters include relaxation time, resistivity, and normalized chargeability and shear strengths parameters include cohesive forces and angle of internal friction. Therefore, the 41 granite samples drilled from the Gaoligongshan tunnel were experimentally determined. Based on the experimental data, models were developed to describe the relationships between cohesion and IP parameters, as well as between the internal friction angle and IP parameters. Research has indicated that shear strength parameters increase with resistivity but decrease with increasing relaxation time. Moreover, the internal friction angle, compared to cohesion, has a stronger correlation with IP parameters. However, normalized chargeability has little correlation with shear strength. Finally, porosity is utilized as an intermediary to validate the dependability of the multi-parameter model that connects shear strength parameters with IP, offering novel methodological insights into the prediction of the shear strength of rock ahead of the TBM face.</p>

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Experimental investigation of relationship between shear strength parameters and induced polarization parameters of saturated granite

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Yuancheng Li,
  • Lichao Nie,
  • Zhicheng Song,
  • ZhiQiang Li,
  • Jianbing Liu,
  • Shilei Zhang,
  • Zhiyong Yang,
  • Wei Shen

摘要

During tunnel boring machine (TBM) tunnel construction, abrupt variations in shear strength can cause TBM jamming. Predicting the shear strength of rock is essential for both optimizing TBM tunneling parameters and improving construction efficiency. However, conventional methods for determining engineering properties are invasive, costly, and time-consuming. Additionally, because the TBM occupies the tunnel face, assessing changes in the surrounding rock ahead is challenging. Water content and porosity are the primary factors influencing the shear strength. The induced polarization (IP) method is sensitive to the response of water-bearing structures and porosity, making it suitable for determining the surrounding rock conditions ahead of the tunnel face. In order to investigate the shear strength distribution in front of tunnel face, a predictive model was established to relate IP multi-parameters and shear strength parameters including cohesion and internal friction angle based on petrophysical relationship. Specifically, the IP multi-parameters include relaxation time, resistivity, and normalized chargeability and shear strengths parameters include cohesive forces and angle of internal friction. Therefore, the 41 granite samples drilled from the Gaoligongshan tunnel were experimentally determined. Based on the experimental data, models were developed to describe the relationships between cohesion and IP parameters, as well as between the internal friction angle and IP parameters. Research has indicated that shear strength parameters increase with resistivity but decrease with increasing relaxation time. Moreover, the internal friction angle, compared to cohesion, has a stronger correlation with IP parameters. However, normalized chargeability has little correlation with shear strength. Finally, porosity is utilized as an intermediary to validate the dependability of the multi-parameter model that connects shear strength parameters with IP, offering novel methodological insights into the prediction of the shear strength of rock ahead of the TBM face.