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基于现场实测数据的隧道掘进机滚刀磨损预测
引用本文:杨继华,闫长斌. 基于现场实测数据的隧道掘进机滚刀磨损预测[J]. 西南交通大学学报, 2019, 54(6): 1283-1292. DOI: 10.3969/j.issn.0258-2724.20170677
作者姓名:杨继华  闫长斌
基金项目:国家自然科学基金资助项目(41972270);河南省重点研发与推广专项(182102210014);河南省高等学校重点科研项目(15A410001)
摘    要:为了合理预测隧道掘进机(TBM)施工过程中地质条件、掘进参数及刀圈特性等多种因素对盘形滚刀刀圈磨损的影响,对TBM滚刀破岩机理和刀圈磨损机理进行了研究. 基于现场实测数据,如掘进推力、贯入度、磨损量、滚刀半径、滚刀安装半径、刀圈几何尺寸等,根据摩擦学理论,综合考虑各影响因素的相互作用,提出了刀圈综合磨损系数的概念,并建立了滚刀磨损预测模型,同时可对刀盘上各滚刀的有效掘进距离进行预测;将预测模型应用到兰州市水源地建设工程输水隧洞双护盾TBM施工中,同时与其他预测模型对比,验证了综合磨损系数预测模型的有效性. 研究结果表明:刀圈综合磨损系数随滚刀安装半径的增大而减小,随滚刀安装角度的增大而增大;综合磨损系数与其他模型磨损系数变化规律基本一致;基于综合磨损系数预测得到的有效掘进距离与实际掘进距离基本吻合,误差在10%以内,说明基于综合磨损系数建立的TBM滚刀预测模型是可靠的. 

关 键 词:隧道掘进机(TBM)   实测数据   滚刀   磨损   预测   综合磨损系数
收稿时间:2017-10-20

Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data
YANG Jihua,YAN Changbin. Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data[J]. Journal of Southwest Jiaotong University, 2019, 54(6): 1283-1292. DOI: 10.3969/j.issn.0258-2724.20170677
Authors:YANG Jihua  YAN Changbin
Abstract:To reasonably predict the influence of geological conditions, tunneling parameters, and cutter ring characteristics on the wear of disc cutter rings during tunnel boring machine (TBM) construction, the rock breaking mechanism and cutter ring wear mechanism were studied. The concept of comprehensive wear coefficient was put forward according to tribology theory by considering the in-situ measured data such as tunneling thrust, penetration, wear rate, disc cutter radius, disc cutter installation radius, and disc cutter ring sizes. The wear prediction model of disc cutter ring was finally established with consideration of the interaction of various factors, such wear prediction model of disc cutter ring can predict the effective tunneling length of every disc cutters. The wear prediction model was applied in the hard rock tunneling of water conveyance tunnel by double shield TBM in Lanzhou water source construction project, and its validity was also verified by comparing with other prediction models. The results show that the comprehensive wear coefficient decrease with the installation radius of disc cutters increasing and increases with the disc cutter installation angle increasing. The comprehensive wear coefficient has the similar rule as that of other comparing models. The predicted effective tunneling length is consistent with the actual tunneling length with error of less than 10%, which illustrates that the disc cutter wear prediction model based on comprehensive wear coefficient is reliable. 
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