Fatigue Reliability Assessment of Bridges Under Heavy Traffic Loading Scenario

Uncertainties in traffic flows pose significant challenges for the accurate fatigue safety assessment of bridge structures. Fatigue analysis requires detailed information on heavy vehicle-induced loads, which can be obtained from weigh-in-motion (WIM) systems. This paper develops a stochastic traffi...

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Bibliographic Details
Published in:Infrastructures (Basel) 2024-12, Vol.9 (12), p.238
Main Authors: Zhang, Mingyang, Wang, Xuejing, Li, Yaohan
Format: Article
Language:English
Subjects:
Analysis
Bridge loads
Bridge maintenance
Bridges
Component reliability
Corrosion
Cost control
Cracks
Critical components
Damage assessment
Evaluation
fatigue
Fatigue failure
Heavy vehicles
Metal fatigue
Normal distribution
Parameters
Poisson distribution
Probabilistic models
reliability
Reliability analysis
Simulation
Statistical analysis
Steel bridges
Strain gauges
Structural reliability
System reliability
Traffic flow
traffic growth
traffic load
Uncertainty analysis
Vehicles
weigh in motion
Weighing in motion
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Summary:Uncertainties in traffic flows pose significant challenges for the accurate fatigue safety assessment of bridge structures. Fatigue analysis requires detailed information on heavy vehicle-induced loads, which can be obtained from weigh-in-motion (WIM) systems. This paper develops a stochastic traffic load model based on site-specific WIM measurements to evaluate the fatigue reliability of steel bridges by enhancing simulation efficiency and incorporating correlations in traffic load parameters. Traffic loading is measured on site by WIM systems and used to develop a probabilistic model. A heavy traffic scenario load model is developed based on the Gaussian mixture model (GMM) and Poisson distribution. The correlation between traffic load parameters is addressed using the Nataf transformation. The fatigue reliability of critical components is evaluated using this procedure as an illustrative example. The results show that annual increases in traffic load significantly impact fatigue damage. This research provides a theoretical basis for improved traffic management and structural maintenance strategies.
ISSN:2412-3811
2412-3811
DOI:10.3390/infrastructures9120238