4.5 Article

Fatigue reliability evaluation of aging prestressed concrete bridge accounting for stochastic traffic loading and resistance degradation

Journal

ADVANCES IN STRUCTURAL ENGINEERING
Volume 24, Issue 13, Pages 3021-3029

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/13694332211017995

Keywords

crack; corrosion; fatigue reliability; fatigue stress spectrum; prestressed concrete bridge; stochastic traffic load

Funding

  1. National Natural Science Foundation of China [51608189]
  2. Natural Science of Foundation of Hunan Province of China [2019JJ50130, 2020JJ5140, 2020JJ5143]
  3. Key Laboratory of Bridge Engineering Safety Control by the Department of Education (Changsha University of Science Technology) [19KB02]
  4. Industry Key Laboratory of Traffic Infrastructure Security Risk Management (Changsha University of Science Technology) [16KE01]
  5. Scientific Research Project of Hunan Provincial Department of Education [20C0639]

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This study investigated the probabilistic fatigue damage on aging PC bridges considering the impact of stochastic traffic loading and corrosion, establishing a stochastic traffic model and a three-stage traffic growth model. Numerical results showed that the presence of cracks in rebar increased stress amplitude by 1.53 times and led to a decrease in fatigue life by 68 years, while the three-stage traffic growth models resulted in 25 years shorter fatigue life compared to a linear traffic growth model. Additionally, the corrosion effect was found to reduce the fatigue life of the bridges by 44 years.
Fatigue damage accumulation is a critical factor resulting in the failure of prestressed concrete (PC) bridges. The fatigue damage is usually caused by the coupled effect of cyclic vehicle loading and environmental corrosion. This study investigated probabilistic fatigue damage on aging PC bridges considering both stochastic traffic loading and corrosion. A stochastic traffic model was derived based on long-term monitoring data aiming to simulate fatigue stress spectra of critical rebar. The effect of cracks on the fatigue stress spectra was investigated in order to model the fatigue stress state more realistically. A three-stage traffic growth model was established based on traffic volume histories of three highways in China. A fatigue limit state function considering traffic growth and corrosion effect was deduced for fatigue reliability assessment of PC bridges. Numerical results show that the stress amplitude of rebar considering cracks is 1.53 times greater than the rebar with no-cracks, resulting in a decrease of fatigue life by 68 years. In addition, the three-stage traffic growth models lead to 25 years shorter fatigue life than the one considering a linear traffic growth model. Finally, the corrosion effect results in a fatigue life of 44 years. The numerical results provide a theoretical basis for fatigue life estimation and maintenance of aging PC bridges.

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