Technical Papers
Nov 22, 2021

Systematic Metadata Analysis of Wind-Exposed Long-Span Bridges for Road Vehicle Safety Assessments

Publication: Journal of Bridge Engineering
Volume 27, Issue 2

Abstract

Long-span bridges are part of a vital road infrastructure for communities living in the coastal regions of Norway. New projects considering advanced bridge concepts will contribute to solidifying this dependency. These are locations that are increasingly exposed to extreme weather and authorities have concerns about vehicle safety. The traffic safety problem can have implications for new designs, as well as for the management and possible retrofitting of existing bridges. This work provides insights into the maturity of computational models and simulation procedures and the readiness of technological concepts to mitigate accident risk, as well as gaps in the relevant research domain. This is achieved by a systematic literature search, mapping, and metadata analysis. It is found that the major area for development in current models is the ability to credibly predict a vehicle’s operating wind environment on bridges and the resulting aerodynamic loads on the vehicle. Another identified gap is the critical lack of real-world observations and experience. Little evidence of knowledge transfer from domains outside of civil engineering is found, despite this being a complex multidisciplinary problem. The technological readiness of solutions explored in current research is found to be low, with no evidence of any studies going beyond the proof-of-concept stage.

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Acknowledgments

This work was financially supported by the Norwegian Public Roads Administration (NPRA) in collaboration with the Norwegian University of Science and Technology (NTNU) toward realizing an improved E39 coastal highway.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 27Issue 2February 2022

History

Received: May 7, 2021
Accepted: Oct 24, 2021
Published online: Nov 22, 2021
Published in print: Feb 1, 2022
Discussion open until: Apr 22, 2022

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Authors

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Ph.D. Candidate, Dept. of Structural Engineering, Norwegian Univ. of Science and Technology (NTNU), Richard Birkelandsvei 1A, 7491 Trondheim, Norway (corresponding author). ORCID: https://orcid.org/0000-0001-8805-3200. Email: [email protected]
Anders Rönnquist [email protected]
Professor, Head of Department, Dept. of Structural Engineering, Norwegian Univ. of Science and Technology (NTNU), Richard Birkelandsvei 1A, 7491 Trondheim, Norway. Email: [email protected]
Ole Øiseth, Ph.D. [email protected]
Professor, Dept. of Structural Engineering, Norwegian Univ. of Science and Technology (NTNU), Richard Birkelandsvei 1A, 7491 Trondheim, Norway. Email: [email protected]

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  • Risk Assessment of Wind-Induced Vehicle Accidents on Long-Span Bridges Using Onsite Wind and Traffic Data, Journal of Structural Engineering, 10.1061/(ASCE)ST.1943-541X.0003455, 148, 10, (2022).

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