{"title":"Performance Prediction Method of Bridge Asphalt Pavement Material Based on Grey Theory","authors":"Xulan Gui, Xinghang Long, Weiwei Zhan","doi":"10.1109/IAAI51705.2020.9332886","DOIUrl":null,"url":null,"abstract":"Under the combined action of natural environment and traffic load, the performance of asphalt pavement materials for asphalt concrete bridges is declining, which directly affects the speed of vehicles and the safety, economy and comfort of transportation. Therefore, according to the series grey prediction theory of grey system theory, the index prediction model is established for the basic indexes (PCI, SSI, RQI, SFC) in the service performance of bridge asphalt pavement, and the accuracy of the model is verified by residual error and correlation degree. Through the case analysis, it is concluded that the prediction results of the prediction model are similar to the actual situation, and the corresponding maintenance measures are put forward according to the prediction results. The research conclusions can provide a strong reference for the operation management and maintenance of highway bridges, and have certain guiding significance for improving the durability of bridges.","PeriodicalId":232194,"journal":{"name":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Industrial Application of Artificial Intelligence (IAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAAI51705.2020.9332886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Under the combined action of natural environment and traffic load, the performance of asphalt pavement materials for asphalt concrete bridges is declining, which directly affects the speed of vehicles and the safety, economy and comfort of transportation. Therefore, according to the series grey prediction theory of grey system theory, the index prediction model is established for the basic indexes (PCI, SSI, RQI, SFC) in the service performance of bridge asphalt pavement, and the accuracy of the model is verified by residual error and correlation degree. Through the case analysis, it is concluded that the prediction results of the prediction model are similar to the actual situation, and the corresponding maintenance measures are put forward according to the prediction results. The research conclusions can provide a strong reference for the operation management and maintenance of highway bridges, and have certain guiding significance for improving the durability of bridges.