Analysis of a Double-Level Partitioning Method for Determining Pavement Condition Index of Airport Concrete Pavement

被引：0
|
作者：
Ling J. [1 ]
Liu S. [1 ]
Huang C. [2 ]
Wu Y. [3 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Department of Transportation Engineering, University of Shanghai for Science and Technology, Shanghai
[3] Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 08期
关键词：
Airport engineering; Concrete pavement; Double-level partition method; Pavement condition index(PCI);
D O I：
10.11908/j.issn.0253-374x.2019.08.009
中图分类号：
学科分类号：
摘要：
Aiming at the complexity of the previous pavement condition index(PCI) calculation using triple-level partitioning method of part-area-unit, a novel double-level partitioning method of part-area was proposed along with the analysis of its applicability. Area PCI was first calculated using double-level partitioning based on the data from 55 areas in 6 airports. The significance of area location, area size and different airports was then analyzed using single factor variance analysis. The results show that the double-level partitioning method is safety preferable with an average deviation of 1.04 compared with previous triple-level one. The proposed method has little influence on damage level evaluation. Part identification, area size, and airports also have no significant influence on calculation deviation. The double-level partitioning method is recommendable and could significantly reduce workload for pavement condition evaluation. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
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页码：1143 / 1147
页数：4
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