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<p>Predictive maintenance relies on accurate estimation of the remaining useful life of structures subjected to complex environmental loading. This study presents a physics of failure based reliability framework for high mast pole luminaire systems that explicitly accounts for the coupled effects of wind induced vortex shedding, thermal cycling, and corrosion. A time dependent reliability index is formulated using fatigue damage modelling and first order reliability methods, and is used to generate a Remaining Useful Life curve describing the probabilistic evolution of failure. The developed model integrates location specific environmental data to quantify effective stress growth and corrosion driven material degradation. Based on the Remaining Useful Life curve, a novel inspection planning approach is proposed to determine optimal inspection timings that satisfy a target reliability level while minimizing unnecessary inspections. The results demonstrate that incorporating multi stressor degradation significantly alters predicted service life and inspection requirements compared to conventional fixed interval strategies. This work provides a unified physics based methodology for reliability prediction and inspection scheduling of pole type structures, enabling risk informed maintenance decisions and improved lifecycle management.</p>

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Fatigue reliability-based optimization of inspection scheduling for engineered systems

  • 期刊论文

  • 发表日期：

    2026年3月31日

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  • Ashish Patil,
  • Makarand Kulkarni

摘要

Predictive maintenance relies on accurate estimation of the remaining useful life of structures subjected to complex environmental loading. This study presents a physics of failure based reliability framework for high mast pole luminaire systems that explicitly accounts for the coupled effects of wind induced vortex shedding, thermal cycling, and corrosion. A time dependent reliability index is formulated using fatigue damage modelling and first order reliability methods, and is used to generate a Remaining Useful Life curve describing the probabilistic evolution of failure. The developed model integrates location specific environmental data to quantify effective stress growth and corrosion driven material degradation. Based on the Remaining Useful Life curve, a novel inspection planning approach is proposed to determine optimal inspection timings that satisfy a target reliability level while minimizing unnecessary inspections. The results demonstrate that incorporating multi stressor degradation significantly alters predicted service life and inspection requirements compared to conventional fixed interval strategies. This work provides a unified physics based methodology for reliability prediction and inspection scheduling of pole type structures, enabling risk informed maintenance decisions and improved lifecycle management.