Investigation into the evolution of airport cement pavement distresses based on association rule mining

作     者：He, Yinzhang Xiong, Kun Yang, Zeyu Zhang, Jiupeng Li, Yan Hu, Qinshi Li, Yuanfa Huang, Guojing Zhang, Mingliang Tan, Xiaoyong 

作者机构：Changan Univ Sch Highway Xian 710000 Peoples R China CAAC Key Lab lntelligent Construct & Maintenance Xian 710064 Peoples R China Northwestern Polytech Univ Sch Civil Aviat Xian 710072 Peoples R China East China Jiaotong Univ Sch Civil Engn & Architecture Nanchang 330013 Peoples R China 

出 版 物：《CONSTRUCTION AND BUILDING MATERIALS》 (Constr Build Mater)

年 卷 期：2025年第462卷

核心收录：

学科分类：08[工学] 081304[工学-建筑技术科学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：National Natural Science Foundation of China [U2333216] 

主　　题：Airport pavement Distress evolution Association rule mining Particle swarm algorithm Ant colony algorithm 

摘      要：This study endeavors to enhance the comprehension of damage mechanism in airport cement pavements, analyzing patterns to pinpoint strategies that extend the service life of these pavements. First, a distress dataset was established through surveys conducted at five airports in northern China to explore the intrinsic patterns between these distresses. Then, the development and evolution of these distresses were meticulously investigated using an improved Binary Particle Swarm Optimization-Ant Colony Algorithm (BPSO-ACA). The results demonstrated that the improved algorithm outperforms traditional methods, reducing computation time by 38.97 % and 9.85 % compared to the two Apriori algorithms, respectively. The analysis revealed that the evolution of airport cement pavement distresses followed a consistent, interconnected three-stage progression. To prolong the lifespan of airport cement pavements, it is crucial to implement robust lifecycle management, which involves strategic maintenance measures at critical phases of distress evolution to either mitigate or arrest their advancement.