• DocumentCode
    3362062
  • Title

    Displacement back analysis for cross-river tunnel and algorithms comparison

  • Author

    Yan, Xiangzhen ; Wang, Tongtao ; Yang, Xiujuan

  • Author_Institution
    Coll. of Storage & Transp. & Archit. Eng., China Univ. of Pet., Dongying, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    1249
  • Lastpage
    1252
  • Abstract
    The displacement back analysis model for cross-river tunnel is proposed in this paper according to the nonlinear-least-squares method. In the model, a penalty function is used to translate the constrained boundary into unconstrained. The numerical solutions of the model are carried out by traditional Gauss-Newton-Marquardt (G-N-M) algorithm and improved G-N-M algorithm. The calculation efficiency and accuracy of the two algorithms are compared. The study results show that the calculation results of back analysis are very agreeable with the measured values, indicating displacement back analysis model for cross-river tunnel is valuable in engineering practices. The improved G-N-M algorithm is much more efficient and accurate than the traditional G-N-M algorithm, which is an effective algorithm in solution of the displacement back analysis model for cross-river tunnel and expected to promote in some other engineering fields.
  • Keywords
    Gaussian processes; Newton method; least mean squares methods; tunnels; Gauss-Newton-Marquardt algorithm; cross-river tunnel; displacement back analysis; nonlinear-least-squares method; penalty function; unconstrained boundary; Accuracy; Algorithm design and analysis; Displacement measurement; Least squares methods; Newton method; Petroleum; Pipelines; Recursive estimation; Rivers; Testing; cross-river tunnel; displacement back analysis model; improved Gauss-Newton-Marquardt algorithm; nonlinear-least-squares method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536375
  • Filename
    5536375