Welcome to visit《 Journal of Air Force Engineering University 》Official website!

Consultation hotline:029-84786242 RSS EMAIL-ALERT
A Vulnerability Evaluation of Airport Rigid Pavement Based on Strong-Fuzzy Cloud Model
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

V351.11

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to further improve the assessment system for civil airport runway pavements, a new rigid pavement vulnerability evaluation system is developed on the basis of existing technical specifications for pavement evaluation and management.This system comprehensively evaluates the vulnerability of pavements in consideration of both structural and functional aspects.Five representative structural indicators and four functional indicators are selected, and their weights within the sub-systems are determined by using entropy weight method.With the aid of an advantage of the prominent ability of the fuzzy cloud evaluation model in transforming between qualitative concepts and quantitative descriptions, a Strong-Fuzzy Cloud Mode(SFCM) is proposed based on the Extended Cloud Model(ECM).Then, the comprehensive vulnerability assessment model for runway pavements is established.By analyzing the actual pavement inspection data from a southern airport, the comprehensive vulnerability assessment value for this pavement is determined as 2.277, indicating a high level of vulnerability.The confidence level of the assessment results is close to 1, demonstrating the validity of the calculated results.Furthermore, the assessment result is consistent with the evaluation result (2.123) obtained by using ECM, confirming the reliability of the assessment outcome.The SFCM takes into account the non-conformity of evaluation indicators to the standard normal distribution, constructs skewed distributions, and enhances the fuzziness of interval transitions, whereas the results of assessment conform even more to reality.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: October 22,2024
  • Published:
Article QR Code