Abstract
As the existing bridge stock is ageing in various parts of the world, the topic of how to assess, maintain and/or improve, and manage existing bridges becomes increasingly important. Existing bridges may be designed according to outdated codes with requirements that may be considered unsafe nowadays, and for loads that are significantly different than those used nowadays. For those bridges, an accurate assessment leads to more efficient management of the bridge stock. This paper outlines various strategies that lead to an improvement of the assessment, and potentially to the extension of the service life of existing concrete bridges. This paper provides a selected examples that engineers who are faced with the assessment of ageing bridge can use. Ultimately, the presented insights can serve to support countries with a younger bridge stock in the development of an assessment strategy.
Original language | English |
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Title of host publication | IABSE CONGRESS SAN JOSE 2024 REPORT |
Subtitle of host publication | Beyond Structural Engineering in a Changing World |
Publisher | IABSE |
Pages | 227-234 |
Number of pages | 8 |
ISBN (Print) | 978-3-85748-205-2 |
Publication status | Published - 2024 |
Event | IABSE Congress 2024 : Beyond Structural Engineering in a Changing World - Costa Rica Convention Centre, San Jose, Costa Rica Duration: 25 Sept 2024 → 27 Sept 2024 https://iabse.org/Sanjose2024 |
Conference
Conference | IABSE Congress 2024 |
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Country/Territory | Costa Rica |
City | San Jose |
Period | 25/09/24 → 27/09/24 |
Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- shear
- distribution width
- monitoring
- Beyond Structural Engineering in a Changing World
- modelling strategies
- nonlinear finite element modelling
- probabilistic methods
- field testing