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A Time-Dependent Probabilistic Approach for Safety Assessment of Brittle Elements in Bridge Structures
As bridge structures age, their metallic members deteriorate due to corrosion and cyclic stress. Over time, this deterioration can lead to failure of various bridge members, either due to yielding, buckling, or brittle fracture, which can potentially cause the collapse of the bridge structure. For this reason, routine assessment and maintenance procedures, including finding, monitoring, and retrofitting defects in early stages, are essential to the safety of bridge structures. However, there are elements in bridge structures that are either hardly accessible or inaccessible, rendering visual inspection hard or impossible. Pins in pinned connections of truss bridges are examples of such members. This situation can be even more problematic when brittle fracture, which can occur with little warning, is a potential failure mode. In the case where inspections cannot be efficiently conducted, numerical approaches such as probabilistic fracture mechanics methods can be effectively employed to assess the safety of such bridge elements and provide useful information on such things as the critical defect size. This information can be useful for assessing the suitability of more drastic non-destructive evaluation (NDE) measures or making decisions regarding retrofitting. In this regard, a probabilistic approach based on the Eurocode EN1993-1-10 fracture mechanics method is used in this paper to assess the probability of failure of a typical pin used in large steel truss bridges. With this information, this paper presents a comprehensive methodology for assessing critical crack sizes for the pins of the bridge example, which considers the probability of brittle fracture.
A Time-Dependent Probabilistic Approach for Safety Assessment of Brittle Elements in Bridge Structures
As bridge structures age, their metallic members deteriorate due to corrosion and cyclic stress. Over time, this deterioration can lead to failure of various bridge members, either due to yielding, buckling, or brittle fracture, which can potentially cause the collapse of the bridge structure. For this reason, routine assessment and maintenance procedures, including finding, monitoring, and retrofitting defects in early stages, are essential to the safety of bridge structures. However, there are elements in bridge structures that are either hardly accessible or inaccessible, rendering visual inspection hard or impossible. Pins in pinned connections of truss bridges are examples of such members. This situation can be even more problematic when brittle fracture, which can occur with little warning, is a potential failure mode. In the case where inspections cannot be efficiently conducted, numerical approaches such as probabilistic fracture mechanics methods can be effectively employed to assess the safety of such bridge elements and provide useful information on such things as the critical defect size. This information can be useful for assessing the suitability of more drastic non-destructive evaluation (NDE) measures or making decisions regarding retrofitting. In this regard, a probabilistic approach based on the Eurocode EN1993-1-10 fracture mechanics method is used in this paper to assess the probability of failure of a typical pin used in large steel truss bridges. With this information, this paper presents a comprehensive methodology for assessing critical crack sizes for the pins of the bridge example, which considers the probability of brittle fracture.
A Time-Dependent Probabilistic Approach for Safety Assessment of Brittle Elements in Bridge Structures
Lecture Notes in Civil Engineering
Gupta, Rishi (editor) / Sun, Min (editor) / Brzev, Svetlana (editor) / Alam, M. Shahria (editor) / Ng, Kelvin Tsun Wai (editor) / Li, Jianbing (editor) / El Damatty, Ashraf (editor) / Lim, Clark (editor) / Tolou Kian, Mohammad J. (author) / Chien, Michelle Y. X. (author)
Canadian Society of Civil Engineering Annual Conference ; 2022 ; Whistler, BC, BC, Canada
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2022 ; Chapter: 23 ; 353-364
2024-02-06
12 pages
Article/Chapter (Book)
Electronic Resource
English
Time-Dependent Probabilistic Analysis of Steel Bridge Brittle Fracture
| Springer Verlag | 2024
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