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首页> 外文期刊>Proceedings of the IEEE >Statistical Performance Assessment of an NDE-Based SHM-DP Methodology for the Remaining Fatigue Life Prediction of Monitored Structural Components and Systems
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Statistical Performance Assessment of an NDE-Based SHM-DP Methodology for the Remaining Fatigue Life Prediction of Monitored Structural Components and Systems

机译：基于NDE的SHM-DP方法的统计性能评估，用于监测结构部件和系统的剩余疲劳寿命

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摘要

Integrated structural health monitoring and damage prognosis (SHM-DP) methodologies, coupled with sensor-based nondestructive evaluation (NDE) techniques, are becoming increasingly important for the near-real-time condition assessment (i.e., SHM) and future performance predictions (i.e., DP) of aging mechanical systems, civil structures, and infrastructure networks, as well as automotive, naval, and aerospace vehicles. A successful SHM-DP strategy, capable of identifying all critical damage mechanisms while accounting for all relevant sources of uncertainty, can be used as an advanced tool to effectively and optimally manage the life-cycle of the monitored system, recursively forecast its remaining useful life (RUL), and ultimately reduce the overall ownership cost through dynamic reliability-based inspection and maintenance (RBIM) plans, system downtime minimization, catastrophic failure prevention, and potential RUL extension. In this perspective, fatigue damage propagation is one of the most critical and unpredictable deterioration processes for a large variety of structural and mechanical systems that are subjected repeatedly to cyclic and/or random operational loading during their service life. Within this limited scope, the authors developed a comprehensive NDE-based SHM-DP framework for recursively predicting the time-varying system reliability and the remaining fatigue life (RFL) of monitored systems subjected to deterioration by multi-site fatigue damage propagation. This paper provides a brief overview of the proposed framework and then uses a set of experimental fatigue test data to perform a thorough statistical performance assessment of the developed methodology at the local reliability component level (i.e., single damage mechanism and single damage location) including NDE detectability and measurement uncertainty as well as both load and model parameter uncertainty.
机译：集成的结构健康监测和损伤预测（SHM-DP）方法，以及基于传感器的无损评估（NDE）技术，对于近实时状态评估（即SHM）和未来性能预测（即，DP）老化的机械系统，土木结构和基础设施网络，以及汽车，海军和航空航天器。成功的SHM-DP策略能够识别所有关键的损坏机制，同时考虑到所有相关的不确定性来源，可以用作高级工具，以有效和最佳地管理受监视系统的生命周期，递归预测其剩余使用寿命（RUL），并最终通过基于动态可靠性的检查和维护（RBIM）计划，最小化系统停机时间，灾难性故障预防以及潜在的RUL扩展来降低总体拥有成本。从这个角度来看，疲劳损伤的传播是各种结构和机械系统中最关键和不可预测的劣化过程之一，这些结构和机械系统在使用寿命期间反复受到周期性和/或随机的操作载荷。在此有限范围内，作者开发了一种基于NDE的综合框架，用于递归预测随时间变化的系统可靠性以及受多点疲劳损伤传播而恶化的受监控系统的剩余疲劳寿命（RFL）。本文提供了所提出框架的简要概述，然后使用一组实验疲劳测试数据对包括NDE在内的局部可靠性组件级别（即，单一损坏机制和单一损坏位置）进行了所开发方法的全面统计性能评估。可检测性和测量不确定性，以及载荷和模型参数的不确定性。

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