{"title":"考虑结构健康监测的区域桥梁劣化模型的验证与更新","authors":"Xiaoming Lei, Ye Xia, Limin Sun","doi":"10.2749/nanjing.2022.1171","DOIUrl":null,"url":null,"abstract":"Civil infrastructure has aided economic development and social progress. Existing reinforced concrete beam bridges undoubtedly suffer the damages due to loads, structural defects, etc. To increase the accuracy of safety assessments, a reliable bridge deterioration model is required. This study presents a technique for validating and updating the regional bridge deterioration model by using monitoring data from a few bridges in the area. This method avoids data-level fusion and instead employs model-level fusion. In model validation, it makes full use of the depth of individual bridge monitoring data as well as the breadth of bridge group inspection data. The suggested method is validated in a case study including regional bridges in Northern China. When the number of monitored individual bridges grows, the validation and correction of the regional bridge deterioration model will be more effective.","PeriodicalId":410450,"journal":{"name":"IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation and Updating of Regional Bridge Deterioration Model Incorporating Structural Health Monitoring\",\"authors\":\"Xiaoming Lei, Ye Xia, Limin Sun\",\"doi\":\"10.2749/nanjing.2022.1171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Civil infrastructure has aided economic development and social progress. Existing reinforced concrete beam bridges undoubtedly suffer the damages due to loads, structural defects, etc. To increase the accuracy of safety assessments, a reliable bridge deterioration model is required. This study presents a technique for validating and updating the regional bridge deterioration model by using monitoring data from a few bridges in the area. This method avoids data-level fusion and instead employs model-level fusion. In model validation, it makes full use of the depth of individual bridge monitoring data as well as the breadth of bridge group inspection data. The suggested method is validated in a case study including regional bridges in Northern China. When the number of monitored individual bridges grows, the validation and correction of the regional bridge deterioration model will be more effective.\",\"PeriodicalId\":410450,\"journal\":{\"name\":\"IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2749/nanjing.2022.1171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IABSE Congress, Nanjing 2022: Bridges and Structures: Connection, Integration and Harmonisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2749/nanjing.2022.1171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Validation and Updating of Regional Bridge Deterioration Model Incorporating Structural Health Monitoring
Civil infrastructure has aided economic development and social progress. Existing reinforced concrete beam bridges undoubtedly suffer the damages due to loads, structural defects, etc. To increase the accuracy of safety assessments, a reliable bridge deterioration model is required. This study presents a technique for validating and updating the regional bridge deterioration model by using monitoring data from a few bridges in the area. This method avoids data-level fusion and instead employs model-level fusion. In model validation, it makes full use of the depth of individual bridge monitoring data as well as the breadth of bridge group inspection data. The suggested method is validated in a case study including regional bridges in Northern China. When the number of monitored individual bridges grows, the validation and correction of the regional bridge deterioration model will be more effective.