Bridge fatigue assessment and management using reliability-based crack growth and probability of detection models

This paper focuses on conducting lifetime performance assessment and management of aging steel bridges under fatigue by integrating three prediction models: fatigue reliability model (FRM), crack growth model (CGM), and probability of detection (PoD) model. A novel approach using these models is pro...

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Bibliographic Details
Published in:Probabilistic engineering mechanics 2011-07, Vol.26 (3), p.471-480
Main Authors: Kwon, Kihyon, Frangopol, Dan M.
Format: Article
Language:English
Subjects:
Applied sciences
Assessments
Bridges
Bridges (structures)
Buildings. Public works
Crack growth
Crack propagation
Cracks
Exact sciences and technology
Fatigue (materials)
Fatigue assessment
Fatigue failure
Fracture mechanics (crack, fatigue, damage...)
Fundamental areas of phenomenology (including applications)
Management
Mathematical models
Measurement and testing methods
Metal bridges
Physics
Probability of detection
Reliability
Solid mechanics
Structural and continuum mechanics
Time-dependent performance
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Summary:This paper focuses on conducting lifetime performance assessment and management of aging steel bridges under fatigue by integrating three prediction models: fatigue reliability model (FRM), crack growth model (CGM), and probability of detection (PoD) model. A novel approach using these models is proposed for planning interventions on fatigue sensitive structures. Based on information from field monitoring and/or non-destructive evaluation, prediction models are developed to (a) estimate the time-dependent fatigue performance using FRM, (b) provide the time-dependent crack growth using CGM, and (c) quantify the detection capability associated with fatigue cracks using PoD model. In order to assess and manage bridge fatigue life, the three models are combined based on two parameters (i.e., number of cycles, crack size). As an illustration, the combined approach is used for fatigue assessment and management of an existing bridge.
ISSN:0266-8920
1878-4275
DOI:10.1016/j.probengmech.2011.02.001