首页> 外文期刊>Shock and vibration >Performance Evaluation of Hard Rock TBMs considering Operational and Rock Conditions
【24h】

Performance Evaluation of Hard Rock TBMs considering Operational and Rock Conditions

机译:考虑作业和岩石条件的硬岩隧道掘进机性能评估

获取原文
           

摘要

This paper focuses on studying the correlations of the performance of hard rock tunnel boring machines (TBMs) with operational and rock conditions. Firstly, a rigid-flexible coupled multibody dynamic model of an opening hard rock TBM is established for the analysis of its vibration. Then four performance indexes including mean vibration energy dissipation rate, dynamic specific energy (DSE), disc cutter wear rate, and load sharing coefficient are introduced and formulated, respectively, for evaluating the vibration level, excavation energy efficiency, cutter’s vulnerability to wear, and load transmission performance of cutterhead driving system of the TBM. Finally, numerical simulation results of the TBM tunneling performance evaluation are obtained and validated by on-site vibration measurement and tunneling data collection. It is found that operational and rock conditions exert important impact on TBM vibration level, excavation energy efficiency, and structure damage. When the type of rock to be cut changes from soft to hard with operational parameters held constant, TBM performance evaluated by these three indexes deteriorates significantly, and both the decrease of excavation energy efficiency and the increase of cutter wear rate caused by TBM vibration are obvious. This study provides the foundation for a more comprehensive evaluation of TBM performance in actual tunneling process.
机译:本文重点研究硬岩隧道掘进机(TBM)的性能与操作和岩石条件之间的相关性。首先,建立了开口硬岩TBM的刚柔耦合多体动力学模型,对其振动进行了分析。然后分别引入和制定了四个性能指标,分别是平均振动能量耗散率,动态比能量(DSE),圆盘切刀磨损率和负载分配系数,以评估振动水平,开挖能量效率,切刀的磨损易损性和TBM刀盘驱动系统的载荷传递性能。最后,通过现场振动测量和隧道数据采集,获得并验证了TBM隧道掘进性能的数值模拟结果。结果发现,作业和岩石条件对TBM振动水平,开挖能量效率和结构破坏都具有重要影响。当切削参数的类型从软变硬时,在保持运行参数不变的情况下,由这三个指标评估的TBM性能将显着降低,并且挖掘能量效率的下降和由TBM振动引起的刀具磨损率的增加都是明显的。该研究为更全面地评估实际隧道过程中的TBM性能提供了基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号