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Structural robustness of long-span cable-supported bridges segmented by zipper-stoppers to prevent progressive collapse

 Structural robustness of long-span cable-supported bridges segmented by zipper-stoppers to prevent progressive collapse
Auteur(s): , ORCID
Présenté pendant IABSE Conference: Engineering the Developing World, Kuala Lumpur, Malaysia, 25-27 April 2018, publié dans , pp. 593-600
DOI: 10.2749/kualalumpur.2018.0593
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This paper investigates the structural behaviour of a long-span cable-supported bridge segmented by zipper-stoppers after the sudden rupture of some of its cables. Increasing the robustness of the ...
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Détails bibliographiques

Auteur(s): (Hamburg University of Technology, Structural Analysis and Steel Structures Institute, Hamburg, Germany)
ORCID (Hamburg University of Technology, Structural Analysis and Steel Structures Institute, Hamburg, Germany)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Conference: Engineering the Developing World, Kuala Lumpur, Malaysia, 25-27 April 2018
Publié dans:
Page(s): 593-600 Nombre total de pages (du PDF): 8
Page(s): 593-600
Nombre total de pages (du PDF): 8
DOI: 10.2749/kualalumpur.2018.0593
Abstrait:

This paper investigates the structural behaviour of a long-span cable-supported bridge segmented by zipper-stoppers after the sudden rupture of some of its cables. Increasing the robustness of the structural system through segmentation is a possible approach to prevent progressive collapse in bridges due to cable failure. In this concept, zipper-stoppers, at the segment borders, are strong components with the multiple of the load bearing capacity of usual members and are designed to arrest a zipper-like collapse in the segment where the initial damage occurred. For finding the “stress increase ratio” of the zipper-stopper, an analytical approach based on differential equations of the system will be used. Then, an approximation function for a simplified bridge model in a cable-loss scenario will be derived. The proposed approximation function has been checked by numerical models, and its good accuracy has been proven.