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ZHANG Wen-sheng, CUI Zhi-wei. Settlement prediction model of super large bridge for passenger dedicated railway[J]. Journal of Traffic and Transportation Engineering, 2011, 11(6): 31-36. doi: 10.19818/j.cnki.1671-1637.2011.06.005
Citation: ZHANG Wen-sheng, CUI Zhi-wei. Settlement prediction model of super large bridge for passenger dedicated railway[J]. Journal of Traffic and Transportation Engineering, 2011, 11(6): 31-36. doi: 10.19818/j.cnki.1671-1637.2011.06.005
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Settlement prediction model of super large bridge for passenger dedicated railway

doi: 10.19818/j.cnki.1671-1637.2011.06.005
  • 1.

    School of Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China

  • 2.

    Jiangsu Transportation Science Research Institute Co., Ltd., Nanjing 210017, Jiangsu, China

More Information
  • Author Bio:

    ZHANG Wen-sheng (1971-), male, associate professor, PhD, +86-311-87936787, zws163@163.com

  • Received Date: 2011-07-23
  • Publish Date: 2011-12-25
    Abstract
  • Aiming at the settlement of super large bridge for passenger dedicated railway, the calibration method of chaotic behavior was put out.The nonlinear theory and chaotic time sequence method were used, and the settlement prediction model of super large bridge for passenger dedicated railway was set up.Based on embedding theory, the settlement time sequence of super large bridge was reconstructed.Through calculating the values of correlation dimension, Kolmogorov entropy and maximum Lyapunov exponent, the chaotic behavior characteristic of time sequence was verified.The piers A and B of a super large bridge for Shijiazhuang-Wuhan Passenger Dedicated Railway were taken as examples, and the settlements were calculated.Calculation result shows that by using the settlement prediction model, the maximum settlement of pier A is 0.072 5 mm, and the minimum settlement of pier A is 0.020 1 mm.The maximum settlement of pier B is 0.069 7 mm, the minimum settlement of pier B is 0.030 4 mm, and the errors between prediction values and actual values are less than ±0.005 0 mm.So the prediction model is effective, and the prediction results meet the technical requirement of bridge settlement deformation monitoring.

     

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