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<p>This study addresses the growing threat of vehicular collisions to bridge infrastructure, which now exceed the frequency of seismic and blast events and often result in significant structural damage or collapse. The purpose of this research is to improve understanding of the dynamic behavior of reinforced concrete (RC) bridge piers, focusing specifically on crack propagation measured by crack width and concrete depth under varying strain rates caused by short-duration vehicle impacts. To achieve this, a novel predictive model is developed using Monte Carlo (MC) simulation to track crack evolution in Grade 60 and Grade 80 steel reinforcement subjected to high-velocity impacts. Structural reliability is assessed through the Hasofer-Lind reliability index, demonstrating a strong correlation between static and dynamic performance characteristics. Additionally, an uncertainty analysis based on a normalized limit state (LS) function confirms close alignment with established serviceability thresholds. The proposed model provides a cost-effective and robust framework for evaluating post-impact structural behavior, supporting the advancement of performance-based, forward-looking design strategies. These findings offer valuable insights for structural engineers, designers, and forensic structural analysts focused on enhancing the safety, durability, and reliability of transportation infrastructure against increasing vehicular impact threats.</p>

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Predictive assessment of crack behavior in RC bridge piers under vehicle impact: a reliability and resilience-based approach

  • 期刊论文

  • 发表日期：

    2025年11月26日

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  • Suman Roy,
  • Biswajit B. Majumdar

摘要

This study addresses the growing threat of vehicular collisions to bridge infrastructure, which now exceed the frequency of seismic and blast events and often result in significant structural damage or collapse. The purpose of this research is to improve understanding of the dynamic behavior of reinforced concrete (RC) bridge piers, focusing specifically on crack propagation measured by crack width and concrete depth under varying strain rates caused by short-duration vehicle impacts. To achieve this, a novel predictive model is developed using Monte Carlo (MC) simulation to track crack evolution in Grade 60 and Grade 80 steel reinforcement subjected to high-velocity impacts. Structural reliability is assessed through the Hasofer-Lind reliability index, demonstrating a strong correlation between static and dynamic performance characteristics. Additionally, an uncertainty analysis based on a normalized limit state (LS) function confirms close alignment with established serviceability thresholds. The proposed model provides a cost-effective and robust framework for evaluating post-impact structural behavior, supporting the advancement of performance-based, forward-looking design strategies. These findings offer valuable insights for structural engineers, designers, and forensic structural analysts focused on enhancing the safety, durability, and reliability of transportation infrastructure against increasing vehicular impact threats.