| 全断面隧道掘进机工作参数匹配规律的挖掘与利用 |
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| 引用本文： | 刘明月,赵维刚,张筑平.全断面隧道掘进机工作参数匹配规律的挖掘与利用[J].石家庄铁道学院学报,2006,19(3):55-59. |
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| 作者姓名： | 刘明月 赵维刚 张筑平 |
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| 作者单位： | 石家庄铁道学院国防交通研究所 河北石家庄050043(刘明月)，石家庄铁道学院大型结构诊断与健康监测研究所 河北石家庄050043(赵维刚)，石家庄铁道学院机械工程分院 河北石家庄050043(张筑平) |
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| 摘 要： | 为提高隧道掘进机工作效能和利用率,以采集的秦岭隧道工作数据为对象,分析研究了不同掘进状况下工作参数间的匹配规律,对比分析了各类掘进状况下的切削比能,获得了掘进机正常掘进状况下的FPI与切割系数C的制约方程,得到了软、硬岩条件下的推进力、扭矩需求方程,并且从统计角度获得了切割系数的概率密度分布函数。所获得的相关规律以及处理方法,为掘进状况的预测和掘进参数的优化提供了一定的知识和技术支持,对于掘进机的性能评价和掘进机设计都具有重要的参考价值。
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| 关 键 词： | 全断面隧道掘进机(TBM) 工作参数 掘进状况 分类识别 |
| 文章编号： | 1006-3226（2006）03-0055-05 |
| 收稿时间： | 2005-11-17 |
| 修稿时间： | 2005年11月17 |
Digging and Analysis of Implicit Relationship between Working Parameters of Tunnel Boring Machine (TBM) |
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| Liu Mingyue,Zhao Weigang,Zhang Zhuping.Digging and Analysis of Implicit Relationship between Working Parameters of Tunnel Boring Machine (TBM)[J].Journal of Shijiazhuang Railway Institute,2006,19(3):55-59. |
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| Authors: | Liu Mingyue Zhao Weigang Zhang Zhuping |
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| Institution: | 1. Research Institute of National Defense Transportation, Shijiahuang Railway Institute, Shijiazhuang 050043, China; 2. Structural Health Monitoring and Control Institute,Shijiahuang Railway Institute, Shijiazhuang 050043, China; 3. School of Mechanical Engineering, Shijiahuang Railway Institute, Shijiazhuang 050043, China |
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| Abstract: | For the aim of improving the working efficiency and utilization of tunnel boring machine(TBM),the paper applied the classification recognition technology and statistical method to the study of parameters matching based on the raw data acquired from the site,analyzed the power consume under different boring performance conditions,gained the restrict equation of FPI and C at normal working conditions,and found the relationship of thrust and torque under the condition of hard as well as soft rock,obtained the probability density function of cutting coefficient C.The results can be helpful to the forecast of TBM's work performance and optimization of working parameters,and useful to the design of the boring machine and the appraisal of its performance. |
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| Keywords: | tunnel boring machine working parameters boring performance classification recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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