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Supervisor：Jiangxi University Of Science And Technology
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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 2 Issue 6
Dec.  2011
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PENG Jian-wena, ZHAO Kuib, CAO Zong-quanc, MA Qian-tianc, LIU Ming-rong. Application of neural network and FLAC to the back analysis of tunnel displacement[J]. Nonferrous Metals Science and Engineering, 2011, 2(6): 79-82.
Citation: PENG Jian-wena, ZHAO Kuib, CAO Zong-quanc, MA Qian-tianc, LIU Ming-rong. Application of neural network and FLAC to the back analysis of tunnel displacement[J]. Nonferrous Metals Science and Engineering, 2011, 2(6): 79-82.
shu

Application of neural network and FLAC to the back analysis of tunnel displacement

  • a.

    School of Architectural and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • b.

    Tungsten Resource Efficient Development and Application Research Center of the Ministry of Education, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • c.

    School of Resource and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

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  • Received Date: September 30, 2011
  • Published Date: December 30, 2011
    Graphical Abstract
    • Abstract
  • This paper studies the application of neural network and FLAC3D to the back-analysis of displacements of tunnel displacement, using the learning and testing samples based on orthogonal test design and FLAC 3D numerical simulation. The potential mapping between parameters and surrounding rock displacement was established using neural network. The modulus of elasticity and lateral pressure coefficient of surrounding rock were obtained by verifing the precision of inversion parameter. The results show that it can solve the problem by searching parameters of back-analysis, which can be derived to achieve the displacement back analysis in tunnel displacement. The inversion results can be feedback for the design of tunnel. The results of back -analysis are accord with the accuracy of engineering.
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    • References (14)
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