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Trường DCGiá trị Ngôn ngữ
dc.contributor.authorLi, Jing-
dc.contributor.authorLiu, Guoqiang-
dc.contributor.authorZhou, Jian-
dc.contributor.authorZhao, Yongli-
dc.date.accessioned2020-06-10T13:45:41Z-
dc.date.available2020-06-10T13:45:41Z-
dc.date.issued2019-
dc.identifier.issn1687-8086-
dc.identifier.issn1687-8094 (eISSN)-
dc.identifier.otherBBKH1467-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/19336-
dc.descriptionHindawi Advances in Civil Engineering Volume 2019, Article ID 5369532, 15 pages https://doi.org/10.1155/2019/5369532vi
dc.description.abstract"Distresstypesaresignificantforasphaltpavementmaintenancedecision,andrelationshipsamongthemcangreatlyinfluencethe decision outcomes. In this study, to analyze the relationships among different distress types from a statistical point of view, 282 asphalt pavements with semirigid base structures in 23 regions of China were surveyed to identify 12 distress types, which were subsequently investigated by association rule mining. Results show that the distress types can be categorized into independent distresstypes(IDDTs),dependentdistresstypes(DDTs),andruttingsecondarydistresstypes(RSDTs)basedontherelationships. TherelationshipsamongIDDTsarethestrongest,andthosebetweenIDDTsandDDTs,betweenruttingandRSDTs,andamong depression,pumping,andravelingarealsostrong,whiletheothersareweak.Theweakrelationshipsshouldbeignored,whilethe strong ones should be considered to reduce cost and guarantee accuracy of maintenance decision. The IDDTs are the most important distress types, so preventing them from occurring or maintaining them immediately can greatly preserve good performance of asphalt pavements. To help analyze the relationships, a distress-type system was established and verified. In conclusion, this work provides new insights to understand distress types. "vi
dc.language.isoenvi
dc.publisherHindawi Limited,vi
dc.subjectDistress Types Surveyvi
dc.subjectMining Association Rulesvi
dc.titleResearch on Relationships among Different Distress Types of Asphalt Pavements with Semi-Rigid Bases in China Using Association Rule Mining: A Statistical Point of Viewvi
dc.typeOthervi
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