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(完整word版)高等岩石力学课程报告英文读书报告.docx


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(完好word版)高等岩石力学课程报告英文念书报告
(完好word版)高等岩石力学课程报告英文念书报告
(完好word版)高等岩石力学课程报告英文念书报告
高等岩石力学英文念书报告
1530767 叶宇航
ext, both single and multi-variable regression analyzes were used to investigate relationship between engineering rock properties and TBM performance parameters and finally to develop empirical equation. The analysis of the data obtained from the projects proved that FPI is a suitable machine performance parameter for developing empirical relationships with geological parameters. And multi-variable regression analysis show good correlation between ln (FPI) as response parameter and UCS and RQD as predictors. In conclusion FPI is a good parameter for the evaluation of hard rock TBM performance. Therefore, the authors developed a chart of FPI prediction. This chart can be used for quick estimation of range of values for FPI in grounds with different rock strength and rock quality.
Excepts the FPI, the authors also concerned the boreability. Boreability is the term commonly used to express the ease or difficulty of rockmass excavation by a tunnel boring machine. Rock mass boreability depends on a number of influencing parameters including intact rock/rock mass properties, machine specifications and operational parameters. In tunneling projects, ground characteristics or boreability of the rockmass is an important parameter for selecting machine type and specif

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