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Validation and Updating of Regional Bridge Deterioration Model Incorporating Structural Health Monitoring

 Validation and Updating of Regional Bridge Deterioration Model Incorporating Structural Health Monitoring
Autor(en): , , ORCID
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1171-1176
DOI: 10.2749/nanjing.2022.1171
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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 ...
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Bibliografische Angaben

Autor(en): (Tongji University, Shanghai, China)
(Tongji University, Shanghai, China)
ORCID (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 1171-1176 Anzahl der Seiten (im PDF): 6
Seite(n): 1171-1176
Anzahl der Seiten (im PDF): 6
DOI: 10.2749/nanjing.2022.1171
Abstrakt:

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.

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