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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2014  >  14(4): 1-6
CAI Liang-cai, WANG Hai-fu, ZHANG Luo-li, WANG Peng-fei. Prediction model of remaining life for airport pavement based on cumulative damage[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 1-6.
Citation: CAI Liang-cai, WANG Hai-fu, ZHANG Luo-li, WANG Peng-fei. Prediction model of remaining life for airport pavement based on cumulative damage[J]. Journal of Traffic and Transportation Engineering, 2014, 14(4): 1-6.
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Prediction model of remaining life for airport pavement based on cumulative damage

  • 1.

    Department of Airport and Architecture Engineering, Air Force Engineering University, Xi'an 710038, Shaanxi, China

  • 2.

    Airport and Construction Section of Air Force Logistics Department, Beijing 100720, China

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  • Author Bio:

    CAI Liang-cai(1960-), male, professor, PhD, +86-29-84787008, liangcai07@126.com

  • Received Date: 2014-03-14
  • Publish Date: 2014-08-25
    Abstract
  • Through the statistical analysis on the transverse distribution rules of wheel trace and pavement load stress, the calculation method of pavement pass-to-coverage for landing gear was obtained. Based on the regression formula of load stress on the middle part of pavement slab, the lateral stress distribution function of pavement slab was established. NCHRP1-26 function was chosen as fatigue function, the takeoff data of the 2 types of aircrafts in the next 7 years were calculated based on the historical takeoff data of airport A in the past 13 years, the calculation method of cumulative damage for airport pavement was set up according to the coverage curve function and the stress distribution function, and example verification was carried out.Analysis result shows that, the maximum cumulative damage of pavement tends to be 1 after 2 years, which means the remaining life of airport pavement is 2 years without any maintenance measure.It is consistent with the actual operating condition of airport A, so the established model is effective.

     

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