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Spatial variability effects of the seismic action in Cable-Stayed Bridges and modelling techniques

 Spatial variability effects of the seismic action in Cable-Stayed Bridges and modelling techniques
Author(s): ,
Presented at IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, published in , pp. 1821-1828
DOI: 10.2749/222137815818359285
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This paper presents different modelling techniques to account for important interaction effects between the deck, the cable and the towers in cable-stayed bridges with different configurations and ...
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Bibliographic Details

Author(s): (City University London, London, UK11)
(City University London, London, UK11)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Published in:
Page(s): 1821-1828 Total no. of pages: 8
Page(s): 1821-1828
Total no. of pages: 8
Year: 2015
DOI: 10.2749/222137815818359285
Abstract:

This paper presents different modelling techniques to account for important interaction effects between the deck, the cable and the towers in cable-stayed bridges with different configurations and main span lengths under strong ground shaking. The model of the connection between the deck and the tower is optimised in terms of accuracy and computational cost, proposing a link that allows for both mode-based and direct integration analysis. The importance of the cable-structure interaction is discussed from the point of view of the vibrational properties and the nonlinear seismic response. The discussion is extended to the influence of the lack of synchronism of the seismic excitation in three cable-stayed bridges with 200, 400 and 600m main span, presenting an extensive study on the seismic demand of the towers for different wave-front propagation velocities.

Keywords:
cable-stayed bridges vibration modes seismic action finite element model spatial variability tower-deck-cable interaction modelling techniques

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