System reliability evaluation of in-service cable-stayed bridges subjected to cable degradation

The cables in a cable-stayed bridge are critical components supporting the long-span girders and ensuring their functionality. However, cables are prone to fatigue damage and atmospheric corrosion, which directly affect the bridge safety. This study presents a framework for system reliability evaluation of in-service cable-stayed bridges subjected to cable degradation. The effect of cable strength degradation on the system reliability is demonstrated through simulation on a parallel-series system representation. Learning machines are utilised to approximate the non-linear and dynamic response functions of critical components due to cable rupture, and the system reliability is finally evaluated from the event tree established by the β-unzipping method. Both short-span and long-span cable-stayed bridges are selected as prototypes to investigate the influence of cable degradation on the system reliability. On this basis it is revealed that cable degradation can significantly influence the collapse mechanism of a cable-stayed bridge and thereby lead to a significant reduction in the system reliability. This phenomenon is associated with cable spacing, where a spare cable system seems more sensitive to cable gradation. It is demonstrated that the consideration of cable corrosion and correlation is essential for lifetime safety evaluation of in-service cable-stayed bridges.

• Record URL:
  • https://doi.org/10.1080/15732479.2018.1459743
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15732479
• Supplemental Notes:
  • © 2018 Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
• Authors:
  • Lu, Naiwei
  • Liu, Yang
  • Beer, Michael
• Publication Date: 2018-11

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 1486-1498
• Serial:
  • Structure and Infrastructure Engineering
  • Volume: 14
  • Issue Number: 11
  • Publisher: Taylor & Francis
  • ISSN: 1573-2479
  • EISSN: 1744-8980
  • Serial URL: http://www.tandfonline.com/loi/nsie20

Subject/Index Terms

• TRT Terms: Bridge cables; Cable stayed bridges; Corrosion; Evaluation and assessment; Failure; Machine learning; Reliability; Simulation
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01687111
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 27 2018 4:36PM