期刊
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT
卷 174, 期 5, 页码 305-319出版社
ICE PUBLISHING
DOI: 10.1680/jtran.18.00018
关键词
airports; management; pavement design
资金
- Inha University
This study analyzed data from 12 airports to develop a non-linear PCI model for predicting the condition of concrete airport pavements more accurately by considering various factors. The results showed that the model can provide improved management strategies for different zones at airports.
The pavement condition index (PCI) is a tool for evaluating pavement performance and is based on the type and severity of surface distress. It is used to determine maintenance times, methods and location priorities. Most previous PCI prediction models have considered only pavement age or traffic volume as a variable, without consideration of other factors that affect pavement distress. In this study, data from 12 airports were analysed using reports published from 1994 to 2013. The airport pavements were divided into homogeneous zones according to their function and structure. For improved management of concrete airport pavements, a non-linear PCI model was developed for the homogeneous zones and tornado diagrams were used to analyse the sensitivity of the PCI according to the independent variables of the model. The results showed that the developed model can predict the PCI of homogeneous zones of concrete airport pavements more reasonably by considering various factors that affect pavement distress.
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