Yuxin Cao
ABSTRACT
During the excavation process of Tunnel Boring Machines (TBM), a large amount of data is collected in real time. It has become increasingly important to assess the quality of surrounding rock by indirectly understanding excavation parameters. Based on this vast dataset from excavation sites, this study proposes a novel Torque Penetration Index (TPI), which is better suited for evaluating the state of the surrounding rock during TBM excavation. The TPI was validated through statistical analysis of on-site excavation experimental data and the large dataset. The research findings indicate that on the original excavation cross-section, there is a significant linear relationship between the cutterhead torque (T) and the advance rate (p), with the majority of T∼p linear regression coefficients exceeding 0.4. This implies that the TPI can serve as a reliable index for evaluating the mechanical rock breaking capacity during excavation. This discovery holds significant importance for assessing the state of surrounding rock and optimizing the TBM excavation process, providing new perspectives and methods for excavation projects. In conclusion, through in-depth analysis of TBM excavation data, the proposed TPI index in this study offers a new perspective for evaluating the state of surrounding rock. It is expected to be widely applicable in practical engineering and provides strong support for the performance optimization of TBM excavation systems.
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Index Terms
- On site excavation experiments and big data statistical verification of torque penetration index
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