Journal
APPLIED SCIENCES-BASEL
Volume 10, Issue 22, Pages -Publisher
MDPI
DOI: 10.3390/app10228049
Keywords
system reliability; deep belief network; cable-supported bridge; fault tree; stochastic traffic flow; fatigue-corrosion damage
Categories
Funding
- National Science Foundation of China [51908068]
- National Science Foundation of Hunan Province [2020JJ5140, 2020JJ5589]
- Key Laboratory of Bridge Engineering Safety Control in the Department of Education in Changsha University of Science and Technology [19KF03, 19KB02]
- Innovation Platform Open Fund Project of Hunan Education Department [19K002]
- Changsha University of Science and Technology
Ask authors/readers for more resources
A cable-supported bridge is usually a key junction of a highway or a railway that demands a higher safety margin, especially when it is subjected to harsh environmental and complex loading conditions. In comparison to short-span girder bridges, long-span flexible structures have unique characteristics that increase the complexity of the structural mechanical behavior. Therefore, the system safety of cable-supported bridges is critical but difficult to evaluate. This study proposes a novel and intelligent approach for system reliability evaluation of cable-supported bridges under stochastic traffic load by utilizing deep belief networks (DBNs). The related mathematical models were derived taking into consideration the structural nonlinearities and high-order statically indeterminate characteristics. A computational framework is presented to illustrate the steps followed for system reliability evaluation using DBNs. In a case study, a prototype suspension bridge is selected to investigate the system reliability under stochastic traffic loading based on site-specific traffic monitoring data. The numerical results indicated that DBNs provide an accurate approximation for the mechanical behavior accounting for structural nonlinearities and different system behaviors, which can be treated as a meta-model to estimate the structural failure probability. The dominant failure modes of the suspension bridge are the fracture of suspenders followed by the bending failure of girders. The degradation of suspenders due to fatigue-corrosion damage has a significant effect on the system reliability of a suspension bridge. The numerical results provide a theoretical basis for the design on cable replacement strategies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available