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Modeling approaches to pressure balance dynamic system in shield tunneling

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Abstract

In order to deal with modeling problem of a pressure balance system with time-delay, nonlinear, time-varying and uncertain characteristics, an intelligent modeling procedure is proposed, which is based on artificial neural network (ANN) and input-output data of the system during shield tunneling and can overcome the precision problem in mechanistic modeling (MM) approach. The computational results show that the training algorithm with Gauss-Newton optimization has fast convergent speed. The experimental investigation indicates that, compared with mechanistic modeling approach, intelligent modeling procedure can obviously increase the precision in both soil pressure fitting and forecasting period. The effectiveness and accuracy of proposed intelligent modeling procedure are verified in laboratory tests.

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Authors and Affiliations

  1. State Key Laboratory of Structural Analysis for Industrial Equipment (Dalian University of Technology), Dalian, 116024, China

    Shou-ju Li  (李守巨) & Shen Yu  (于申)

  2. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, China

    Fu-zheng Qu  (屈福政)

Authors
  1. Shou-ju Li  (李守巨)
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  2. Shen Yu  (于申)
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  3. Fu-zheng Qu  (屈福政)
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Corresponding author

Correspondence to Shen Yu  (于申).

Additional information

Foundation item: Project(2013CB035402) supported by the National Basic Research Program of China; Projects(51105048, 51209028) supported by the National Natural Science Foundation of China

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Li, Sj., Yu, S. & Qu, Fz. Modeling approaches to pressure balance dynamic system in shield tunneling. J. Cent. South Univ. 21, 1206–1216 (2014). https://doi.org/10.1007/s11771-014-2055-8

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  • DOI: https://doi.org/10.1007/s11771-014-2055-8

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