Risk assessment of highway bridges under multiple hazards
Bibliographic Data
| ID | 12597471 |
|---|---|
| Authors | Alberto Decò (Lehigh University), Dan M Frangopol (0000-0002-9213-0683, Lehigh University, corresponding author) |
| Year | 2011 |
| Volume | 14 |
| Issue | 9 |
| Pages | 1057-1089 |
| Publication date | 2011-06-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Risk Research (JOURNAL) |
| Journal identifiers | ISSN: 1366-9877 • E-ISSN: 1466-4461 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/13669877.2011.571789 |
| OpenAlex | W1989620778 |
| Language | EN |
| Citations received | 5 |
| References cited | 20 |
The aim of this paper is to provide a rational framework for the quantitative risk assessment of highway bridges under multiple hazards. Risk is a crucial indicator to be considered when managing structures of great importance such as highway bridges. It associates the consequences of a structural failure or malfunction with the probability of bridge failure. Time-dependent total risk is computed and the effect of structural redundancy is investigated and implemented. The proposed framework includes the estimation of the effects of multiple common hazards such as abnormal traffic loads, environmental attacks, scour, and earthquakes. The failure probabilities associated with the considered hazards are evaluated separately using different approaches. Time-dependent failure probabilities, hazard functions, and probability density functions of the time-to-failure are also assessed for each hazard. These assessments contribute to the evaluation of risk considering the traffic flow and the local economy at the bridge location. Both epistemic and aleatory uncertainties are considered in this approach. Time-dependent profiles of risk, accounting for direct and indirect consequences, are obtained for an existing highway bridge
Bridge (graph theory · Business · Computer security · Forensic engineering · Hazard · Redundancy (engineering · Reliability engineering · Risk analysis (engineering · Risk assessment · Computer Science · Concrete Corrosion and Durability · Engineering · Environmental Science · Infrastructure Maintenance and Monitoring · Probabilistic and Robust Engineering Design
Preliminary fast assessment of bridge risk by neural network
Mapping seismic risk of existing highway bridges at a regional scale using Artificial Neural Networks
Simulating Multihazard Interactions Using Higher-Order Network Analysis
Probabilistic Hazard Assessment of Bridges under Multihazard Actions during the Life-Cycle Period
Technical and organizational challenges in the risk management of road infrastructures
| Citations per year | 1.25 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |