Modeling and prediction for the thrust on EPB TBMs under different geological conditions by considering mechanical decoupling-Reference-Cited by-同舟云学术

Modeling and prediction for the thrust on EPB TBMs under different geological conditions by considering mechanical decoupling

Published:2016-08-12 Issue:9 Volume:59 Page:1428-1434
ISSN:1674-7321
Container-title:Science China Technological Sciences
language:en
Short-container-title:Sci. China Technol. Sci.

Author:

Zhang Qian,Su CuiXia,Qin QingHua,Cai ZongXi,Hou ZhenDe,Kang YiLian

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/s11431-016-6096-0.pdf

Reference29 articles.

1. Zhao Y, Wang H, Yu H D, et al. A stiffness-matching based evaluation approach for compliance of mechanical systems in shield tunneling machines. Sci China Tech Sci, 2012, 55: 2926–2935

2. Krause T. Schildvortrieb mit flüssigkeits-und erdgestützter Ortsbrust. Mitteilung des Instituts für Grundbau und Bodenmechanik. (in German). Braunschweig: TU Braunschweig, 1987

3. Shi H, Gong G F, Yang H Y, et al. Determination of thrust force for shield tunneling machine (in Chinese). J Zhejiang Univ (Eng Sci), 2011, 45: 126–131

4. Maidl B, Herrenknecht M, Anheuser L. Mechanised Shield Tunneling. Berlin: Ernst & Sohn, 1996

5. Gertsch R, Gertsch L, Rostami J. Disc cutting tests in Colorado Red Granite: Implications for TBM performance prediction. Int J Rock Mech Min, 2007, 44: 238–246

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intelligent Multi-Ring Shield Movement Performance Prediction and Control Method;Applied Sciences;2024-05-16

2. A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation;Expert Systems with Applications;2024-03

3. Data-driven prediction for curved pipe jacking performance during underwater excavation of ancient shipwreck using an attention-based graph convolutional network approach;Expert Systems with Applications;2024-02

4. High-precision cutterhead torque prediction for tunnel boring machines using an attention-based embedded LSTM neural network;Measurement;2024-01

5. Geotechnical Characterization and Face Stability of Mechanized Shield Tunnels Using Machine Learning Considering Machine-Soil Interaction;2024