A Characterization Method for Pavement Structural Condition Assessment Based on the Distribution Parameter of the Vehicle Vibration Signal

A pavement structural survey plays a vital role in road maintenance and management. This study was intended to explore the feasibility of a non-stop pavement structure assessment method by analyzing the vibration data from a vehicle sensor. In this study, three falling weight deflectometer (FWD) tes...

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Bibliographic Details
Published in:Applied sciences 2022-01, Vol.12 (2), p.683
Main Authors: Wang, Weiguo, Zhou, Shishi, Yang, Qun
Format: Article
Language:English
Subjects:
Asphalt
Asphalt pavements
Bridges
Correlation coefficient
Correlation coefficients
falling weight deflectometer test
Genetic algorithms
Global positioning systems
GPS
Methods
Neural networks
pavement
Performance evaluation
probability density distribution
Rigid pavements
Road maintenance
Sensors
Smartphones
Statistical analysis
Stiffness
Structural analysis
structural condition
Structural surveys
Traffic congestion
Vibration
Vibration analysis
vibration signal
Vibration tests
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Summary:A pavement structural survey plays a vital role in road maintenance and management. This study was intended to explore the feasibility of a non-stop pavement structure assessment method by analyzing the vibration data from a vehicle sensor. In this study, three falling weight deflectometer (FWD) tests and four vehicle vibration tests were conducted on five pavement structures. The FWD test results show that the continuously reinforced composite pavement has a higher structural stiffness than the semi-rigid base asphalt pavement. According to the statistical distribution of vehicle acceleration, a distribution parameter, the peak probability density (PPD), was proposed. The correlation coefficient (−0.722) of the center deflection (D1) and PPD indicates a strong correlation between the two variables. Therefore, PPD is strongly correlated with pavement structural stiffness. This study proposed a novel characterization method for pavement structural conditions based on the distribution parameter of the vehicle vibration signal.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12020683