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Prioritization of structures for reassessment considering the value of information

 Prioritization of structures for reassessment considering the value of information
Author(s): ,
Presented at IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024, published in , pp. 1153-1160
DOI: 10.2749/sanjose.2024.1153
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The steady increase in traffic loads in recent decades and the growing number of overweight vehi- cles crossing the bridges was not foreseen when many existing bridges were designed.

If one w...
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Bibliographic Details

Author(s): (Infrastructure Management Consultants GmbH, Zürich, Switzerland)
(Infrastructure Management Consultants GmbH, Zürich, Switzerland)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024
Published in:
Page(s): 1153-1160 Total no. of pages: 8
Page(s): 1153-1160
Total no. of pages: 8
DOI: 10.2749/sanjose.2024.1153
Abstract:

The steady increase in traffic loads in recent decades and the growing number of overweight vehi- cles crossing the bridges was not foreseen when many existing bridges were designed.

If one were to compare the internal forces of today's code actions with the bygone ones in a purely deterministic manner approx. 1500 bridges were to be structurally reassessed on Swiss National High- way System only. A probabilistic screening, on the other hand, which is also permitted by the Swiss codes, was deployed to evaluate reliability index in order to sort out bridges that meet reliability index requirements.

Due to the large number of bridges, it proved purposeful to determine under which circumstances the costs of a structural analysis and any resulting measures are justified by reducing the operational risk. In other words: When is the value of information from a structural analysis net positive?

Keywords:
existing structures value of information structural reassessment structure database probabilistic screening operational risk