Abstract
As the traditional rock mass classification is not suitable for TBM tunnel, the comprehensive rock mass classification for TBM is established by combing the boreability classification and adaptability classification, which are accomplished respectively by analyzing TBM performance. In order to evaluate surrounding rock continuously, Markov Chain method is used in this paper. Four geological parameters are chosen to describe the ground conditions. Based on YHJW project, we can get the state of each parameter through geological investigation. Counting the state transformation along the alignment at 50 m intervals, the state transformation probability matrix of each parameter is obtained. Comparing the parameter state in the same position between investigation data and revealed condition, the likelihood matrix of each parameter in Qinling Region is acquired. Probability of boreability classification of K29 + 900~K31 + 150 is computed and the expectation of thrust is considered as the thrust in prediction. The high penetration rate appears when the field thrust is in the range of predicted thrust. Dynamic Rock Mass Classification Method is proved effective. Tunneling parameters can be predicted preliminary through the new classification.
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Acknowledgement
The authors acknowledge the support of National Natural-Science Foundation of China (Grant No.41072206), Fundamental Research Funds for the Central Universities(Grant No.0200219209) and the support of Science and Technology Plan of Department of Communication of Zhejiang province (Grant No.2015J05).
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Xue, Yd., Li, X., Diao, Zx., Zhao, F., Zhao, Hx. (2018). A Dynamic Rock Mass Classification Method for TBM Tunnel. In: Zhang, L., Goncalves da Silva, B., Zhao, C. (eds) Proceedings of GeoShanghai 2018 International Conference: Rock Mechanics and Rock Engineering. GSIC 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-0113-1_34
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DOI: https://doi.org/10.1007/978-981-13-0113-1_34
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