Simplified Seismic Resilience Index for Bridges
Keywords
- AHP
- environmental conditions
- bridge
- seismic resilience index
- structural health
- seismic resilience
Abstract
Bridges are vital elements for the continuity of transportation networks, requiring a precise assessment of their earthquake resilience. This study proposes a methodology based on the Simplified Seismic Resilience Index (SSRI), using the analytic hierarchy process method (AHP) combined with technical expertise to define the relative importance of influencing criteria, thus ensuring a model representative of real-world conditions environments. The results identify structural health and seismic vulnerability as the major drivers of resilience. Validated through case studies in Algeria and Canada and compared to complex models, the tool demonstrates strong consistency and reliability for rapid qualitative assessment. In conclusion, this simplified tool enables a rapid and reliable estimation of resilience while reducing computational complexity and data requirements compared to traditional methods, thus providing crucial decision support for infrastructure maintenance.
Article history
- Received
- 2025-10-12
- Accepted
- 2026-04-06
- Available online
- 2026-05-13
Simplified Seismic Resilience Index for Bridges
APA
IEEE
MLA
Simplified Seismic Resilience Index for Bridges
الكلمات الإفتتاحية
- AHP
- environmental conditions
- bridge
- seismic resilience index
- structural health
- seismic resilience
الملخص
Bridges are vital elements for the continuity of transportation networks, requiring a precise assessment of their earthquake resilience. This study proposes a methodology based on the Simplified Seismic Resilience Index (SSRI), using the analytic hierarchy process method (AHP) combined with technical expertise to define the relative importance of influencing criteria, thus ensuring a model representative of real-world conditions environments. The results identify structural health and seismic vulnerability as the major drivers of resilience. Validated through case studies in Algeria and Canada and compared to complex models, the tool demonstrates strong consistency and reliability for rapid qualitative assessment. In conclusion, this simplified tool enables a rapid and reliable estimation of resilience while reducing computational complexity and data requirements compared to traditional methods, thus providing crucial decision support for infrastructure maintenance.
Article history
- تاريخ التسليم
- 2025-10-12
- تاريخ القبول
- 2026-04-06
- Available online
- 2026-05-13