PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 2026Advances in Bridge Engineering1 citationsOpen Access

Reliability-based service life assessment of corroded reinforced concrete bridge piers under seismic loading

PPPooria PoorahadMSM.R. Shiravand

Key Points

  • The aim is to assess the reliability of corroded reinforced concrete piers during seismic events, focusing on changing failure criteria over time.
  • Developed a time-dependent structural reliability analysis framework.
  • Used Monte Carlo simulations and a nonlinear finite element model.
  • Evaluated seismic performance over 75 years under different seismic hazard levels.
  • Identified a critical transition where residual drift becomes the main failure criterion as corrosion intensifies.
  • Introduced a framework to quantify lost service life and recovered service life due to maintenance actions.
  • Provided actionable RSL charts to aid in data-driven infrastructure management.

Abstract

Abstract This paper establishes a novel time-dependent structural reliability analysis framework for assessing corroded reinforced concrete (RC) piers, bridging the gap between probabilistic performance-based earthquake engineering and practical infrastructure management. The primary contribution is a holistic reliability model that uses the reliability index (β) to evaluate competing failure criteria of excessive maximum drift (seismic performance) and residual drift (post-earthquake functionality). Through Monte Carlo simulations integrated with a validated nonlinear finite element model, the study quantifies seismic performance evolution over a 75-year lifespan under two seismic hazard levels. Key findings reveal a critical transition where residual drift supplants maximum drift as the governing failure criterion as corrosion progresses. Crucially, this work introduces a new prognostic framework that defines lost service life (LSL) due to corrosion and recovered service life (RSL) after maintenance actions, linked by an effectiveness coefficient. This framework translates reliability metrics into actionable RSL charts that quantify the life-cycle extension benefits of corrective maintenance. The results provide engineers with a powerful tool to shift from time-based to condition-based management, enabling data-driven decisions on repair strategies and lifecycle planning.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Poorahad et al. (2026) studied this question.

synapsesocial.com/papers/69aa70a9531e4c4a9ff5a99fhttps://doi.org/10.1186/s43251-025-00198-w
Ask AI
Helpful
Bookmark
Share
View Full Paper