Abstract
Considering the prioritization of post-earthquake bridge restoration at the network level enhances the transportation network's ability to maintain basic functionality and continuous operation, even in the presence of localized failures caused by seismic events. By integrating the greedy algorithm into post-earthquake bridge network recovery models, a recovery method was developed to maximize the efficiency of enhancing the resilience of transportation networks after seismic events. This study considers post-earthquake degradation, recovery speed, and overall restoration levels, analyzing resilience across three dimensions: physical resilience represented by network connectivity, functional resilience based on traffic flow, and economic resilience derived from economic indicators. A case study on the Chengdu bridge network demonstrates that the recovery strategy achieves coordinated improvements across multiple resilience dimensions.
| Original language | English |
|---|---|
| Title of host publication | IABSE Symposium Copenhagen 2026 |
| Subtitle of host publication | Bridging Advanced Technologies - Structural Innovation |
| Publisher | International Association for Bridge and Structural Engineering (IABSE) |
| Pages | 166-173 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798331335489 |
| DOIs | |
| State | Published - 2026 |
| Event | IABSE Symposium Copenhagen 2026: Bridging Advanced Technologies - Structural Innovation - Copenhagen, Denmark Duration: 21 Apr 2026 → 24 Apr 2026 |
Publication series
| Name | IABSE Symposium Copenhagen 2026: Bridging Advanced Technologies - Structural Innovation |
|---|---|
| Volume | 1 |
Conference
| Conference | IABSE Symposium Copenhagen 2026: Bridging Advanced Technologies - Structural Innovation |
|---|---|
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 21/04/26 → 24/04/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bridge networks
- Economic resilience
- Functional resilience
- Greedy algorithm
- Physical resilience
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