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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 975703, 9 pages

Research Article

Key Laboratory of Modern Engineering Mechanics, Tianjin University, Tianjin 300072, China

State Key Laboratory of Shield Machine and Boring Technology, China Railway Tunnel Group Co., Ltd, Zhengzhou 450001, China

Department of Military Vehicle, Academy of Military Transportation, Tianjin 300161, China

Received 7 October 2013; Accepted 1 November 2013

Academic Editor: Cheng Shao

Copyright © 2013 Qian Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the rapid development of sensor and detection technologies, measured data analysis plays an increasingly important role in the design and control of heavy engineering equipment. The paper proposed a method for inverse analysis and modeling based on mass on-site measured data, in which dimensional analysis and data mining techniques were combined. The method was applied to the modeling of the tunneling thrust on shield machines and an explicit expression for thrust prediction was established. Combined with on-site data from a tunneling project in China, the inverse identification of model coefficients was carried out using the multiple regression method. The model residual was analyzed by statistical methods. By comparing the on-site data and the model predicted results in the other two projects with different tunneling conditions, the feasibility of the model was discussed. The work may provide a scientific basis for the rational design and control of shield tunneling machines and also a new way for mass on-site data analysis of complex engineering systems with nonlinear, multivariable, time-varying characteristics.

Autor: Qian Zhang, Yilan Kang, Zheng Zheng, and Lihui Wang



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