Description
Aging and degradation of bridge structural components due to corrosion and scour create severe safety issues in the structural system and can lead to possible bridge failures. Collecting and analyzing inspection data provide a way to monitor and assess the safety condition of bridges. This paper proposes a framework to utilize collected inspection data to assess the condition of a bridge through updating both component- and system-level fragility curves of the bridge. Particularly, collected data such as mass loss of reinforcement and depth of scour hole are utilized to update the mechanical properties of structural members in the finite element model. Fragility curves are then updated through performing a series of nonlinear time analyses based on the inspection data. As bridges age, they are susceptible to increasing corrosion and scour. This study investigates the performance of bridges considering the combined effect of reinforcement corrosion and foundation scour under extreme loadings such as seismic events to assess bridge resilience. Fragility results quantify increases in the probabilities of damage and collapse of the structural system as measured mass loss and scour depth increase.
Location
St. Louis, Missouri
Presentation Date
07 Aug 2019, 8:40 am - 9:00 am
Meeting Name
INSPIRE-UTC 2019 Annual Meeting
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Source Publication Title
Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (2019: Aug. 4-7, St. Louis, MO)
Included in
Updating Bridge Resilience Assessment based on Corrosion and Foundation Scour Inspection Data
St. Louis, Missouri
Aging and degradation of bridge structural components due to corrosion and scour create severe safety issues in the structural system and can lead to possible bridge failures. Collecting and analyzing inspection data provide a way to monitor and assess the safety condition of bridges. This paper proposes a framework to utilize collected inspection data to assess the condition of a bridge through updating both component- and system-level fragility curves of the bridge. Particularly, collected data such as mass loss of reinforcement and depth of scour hole are utilized to update the mechanical properties of structural members in the finite element model. Fragility curves are then updated through performing a series of nonlinear time analyses based on the inspection data. As bridges age, they are susceptible to increasing corrosion and scour. This study investigates the performance of bridges considering the combined effect of reinforcement corrosion and foundation scour under extreme loadings such as seismic events to assess bridge resilience. Fragility results quantify increases in the probabilities of damage and collapse of the structural system as measured mass loss and scour depth increase.
