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Tested versus code capacity of existing bridges - Three examples

 Tested versus code capacity of existing bridges - Three examples
Author(s): , ORCID, , ,
Presented at IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, published in , pp. 727-734
DOI: 10.2749/222137815818357845
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This paper presents the results from three tests to failure of different types of bridges: a two span reinforced concrete railway trough bridge; a five-span prestessed concrete beam bridge; and a o...
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Bibliographic Details

Author(s): (Northern Research Institute, Narvik, Norway)
ORCID (Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
(Luleå University of Technology, Luleå, Sweden)
ORCID (Luleå University of Technology, Luleå, Sweden)
(Trafikverket, Luleå and Borlänge, Sweden)
(Trafikverket, Luleå and Borlänge, Sweden)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Published in:
Page(s): 727-734 Total no. of pages: 8
Page(s): 727-734
Total no. of pages: 8
Year: 2015
DOI: 10.2749/222137815818357845
Abstract:

This paper presents the results from three tests to failure of different types of bridges: a two span reinforced concrete railway trough bridge; a five-span prestessed concrete beam bridge; and a one span metal railway truss bridge. The results show that the capacity of the structures are underestimated by current standards, while numerical analysis combined with material testing can provide more accurate results. Some examples are also presented on how deficiencies in capacity can be mitigated using fiber reinforced polymer strengthening systems.

Keywords:
structural design bridges modelling testing life-cycle assessment (LCA) guidelines strengthening repair prestressing assessment methods