An-Najah University Journal for Research - A (Natural Sciences)

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An-Najah University Journal for Research - A (Natural Sciences) Indexed in Scopus since 2019
CiteScore 0.8
Indexed since 2019

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In Press Original full research article

Simplified Seismic Resilience Index for Bridges

Published
2026-05-13
Full text

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
قيد النشر بحث أصيل كامل

Simplified Seismic Resilience Index for Bridges

Published
2026-05-13
البحث كاملا

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