Inspection Information Preprocessing for Regional Bridge Condition Assessment
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Détails bibliographiques
| Auteur(s): |
Chenhong Zhang
(Department of Bridge Engineering, Tongji University, Shanghai 200092, China)
Ye Xia (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China) Limin Sun 
(State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Publié dans: | IABSE Congress Nanjing 2022 | ||||
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| Page(s): | 1420-1427 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/nanjing.2022.1420 | ||||
| Abstrait: |
Condition assessment of bridges on a regional level can provide an accurate assessment of bridges lack of inspection data and reliable prediction of structural condition for regional bridges. The core work of regional bridge condition assessment (RBCA) is the establishment of regional deterioration models, which requires a large amount of historical health data of bridges provided by inspection reports throughout service history. An inspection information pre-processing framework is proposed in this study, including data extraction, integration, and storage. The proposed framework can greatly reduce the amount of time and work invested in the information gathering process, providing richer data support for (RBCA). The framework is applied to 2 sets of inspection reports of 2 different highway bridge networks in Shandong. |
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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