PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025ce/papers1 citations

Risk assessment of all Swiss railway and highway bridges

View Full Paper
DPDirk ProskeRSRonny Standtke

Key Points

  • Bridges were categorized into risk groups based on adjusted collapse frequencies, enhancing traditional methods.
  • The assessment used statistical and AI evaluations, directly influencing future management of over 14,000 structures.
  • Consequences considered included traffic volume and detour routes, showing the study’s real-world implications for public safety.
  • Open issues were discussed, particularly relating to the correlation of adjustment factors and bridge resilience during floods.

Abstract

Abstract This paper presents the risk assessment of all bridges on the Swiss railways and Swiss highways, overall app. 14 000 bridges. In contrast to the usual approach, this study uses adjusted collapse frequencies instead of failure probabilities. The adjustments are based on statistical and AI evaluations of collapse databases and literature reviews and are carried out by factors specific to each bridge based on bridge databases. In addition, the consequence parameters for the bridges are determined specifically on the means of transport, the traffic volume, the detour route, and potential loss of life. As a result, the bridges are divided into risk categories and risk lists. Besides a short explanation of the procedure, several related topics are briefly discussed. For example, the consequences of the analysis in terms of bridge closure and further steps are also indicated. The paper is an extension of a former investigation of the Swiss railway bridges only. The paper finishes with a short discussion of open issues such as correlation either between certain adjustment factors and between certain bridges, for example during a flood.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Proske et al. (2025) studied this question.

synapsesocial.com/papers/68c1924e9b7b07f3a0616a76https://doi.org/10.1002/cepa.3319
Ask AI
Helpful
Bookmark
Share
View Full Paper