Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data

YANG Jihua; YAN Changbin

doi:10.3969/j.issn.0258-2724.20170677

Volume 54 Issue 6

Nov. 2019

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Journal of Southwest Jiaotong University > 2019 > 54(6): 1283-1292.

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

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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

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Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data

doi: 10.3969/j.issn.0258-2724.20170677

YANG Jihua^1
,,
YAN Changbin^{2
,
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Received Date: 20 Oct 2017
Rev Recd Date: 02 Mar 2018

Available Online: 21 Mar 2018

Publish Date: 01 Dec 2019

Abstract

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.
- tunnel boring machine (TBM),
- measured data,
- cutter,
- wear,
- prediction,
- comprehensive wear coefficient

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References(35)

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Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data

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Wear Predication of Tunnel Boring Machine Cutters Based on In-situ Measured Data

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