基于多个隧道掘进机工程数据回归分析的滚刀磨损评价方法

doi:10.3969/j.issn.1004-132X.2021.11.014

摘要/Abstract

摘要： 为了评价不同隧道工程围岩对隧道掘进机(TBM)滚刀磨损的影响，解决滚刀磨耗难以准确预测的问题，基于北疆供水二期、吉林引松供水、陕西引汉济渭、大瑞铁路高黎贡山、深圳地铁10号线等多个隧道(洞)工程TMB滚刀磨损数据，选取岩石单轴抗压强度、岩石等效石英含量、岩石磨蚀性指标、岩体完整性指标、滚刀破岩体积磨损速率等参数进行数据回归分析。结果表明：岩石磨蚀性指标与单轴抗压强度和等效石英含量的乘积成对数函数关系，滚刀破岩体积磨损速率与岩体完整性系数和岩石磨蚀性指标的乘积成指数函数关系，滚刀刀圈寿命与岩体完整性系数和岩石磨蚀性指标的乘积成负指数函数关系。并并在此基础上，建立了岩石磨蚀性和滚刀磨损性的分级评价准则。

关键词: 隧道掘进机, 滚刀磨损, 评价方法, 工程数据, 回归分析

Abstract: In order to evaluate the influences of different tunnel engineering surrounding rocks on the TBM disc cutter wear, and solve the problems of the disc cutter wear which was difficult to accurately predict, thus the parameters of the rock uniaxial compressive strength, rock equivalent quartz content, rock abrasiveness index, rock mass integrity index, disc cutter wear rate based on broken rock volume were selected to do regression analysis, based on the data of TBM disc cutter wear from multiple TBM tunnel projects, including North Xinjiang Water Supply Project, the water diversion from Songhua River to Changchun City, the water diversion from the Han to the Wei River, Darui Railway Gaoligongshan Tunnel Project and Shenzhen Metro Line 10 Project. The results show that, rock abrasion index has a logarithmic function relationship with the product of uniaxial compressive strength and equivalent quartz content, disc cutter wear rate based on broken rock volume has an exponential function relationship with the product rock mass integrity coefficient and rock abrasion index, and disc cutter ring life has a negative exponential function relationship with the product of the rock mass integrity coefficient and the rock abrasive index. Based on this, the graded evaluation criteria for rock abrasion and disc cutter wear are established.

Key words: tunnel boring machine (TBM), disc cutter wear, evaluation method, engineering data, regression analysis

中图分类号:

U455

杨延栋, 孙振川, 张兵, 闫长斌. 基于多个隧道掘进机工程数据回归分析的滚刀磨损评价方法[J]. 中国机械工程, 2021, 32(11): 1370-1376.

YANG Yandong, SUN Zhenchuan, ZHANG Bing, YAN Changbin. Disc Cutter Wear Evaluation Method Based on Regression Analysis of Multiple TBM Engineering Data#br#[J]. China Mechanical Engineering, 2021, 32(11): 1370-1376.

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