Automatic Detection and Evaluation of Damage Conditions in Airport Cement Concrete Pavement
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Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 201804, China

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V351.11

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    Abstract:

    Aiming at the fact that the existing airport pavement evaluation methods are not fully applicable to automated detection technology, this paper analyzes the characteristics of current airport pavement automated detection and reclassifies the types of cement concrete pavement diseases. Based on pavement damage data from 32 airports in China, the deduction values for various diseases in the current pavement evaluation specifications are weighted and combined to obtain the deduction values for new disease types. On this basis, the evaluation indicators for the apparent damage, hidden disease, and comprehensive damage condition of airport cement concrete pavement are developed. By comparing and analyzing the measured values of PCI (pavement condition index) and the distribution characteristics of the index values, the grade thresholds of each index were determined. The comparison of the results of manual and automatic detection and evaluation of pavement damage in Xilinhot airport runway block shows that the safety grade obtained by the newly developed cement concrete pavement damage condition evaluation method is consistent with the evaluation grade of PCI.

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YUAN Jie, LI Yifan, WANG Heng. Automatic Detection and Evaluation of Damage Conditions in Airport Cement Concrete Pavement[J].同济大学学报(自然科学版),2024,52(12):1892~1898

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History
  • Received:March 28,2023
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  • Adopted:
  • Online: January 03,2025
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