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A probabilistic method for structural integrity assurance based on damage detection structural health monitoring data
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2021-08-18 , DOI: 10.1177/14759217211038881
Michael Siu Hey Leung 1 , Joseph Corcoran 2
Affiliation  

The value of using permanently installed monitoring systems for managing the life of an engineering asset is determined by the confidence in its damage detection capabilities. A framework is proposed that integrates detection data from permanently installed monitoring systems with probabilistic structural integrity assessments. Probability of detection (POD) curves are used in combination with particle filtering methods to recursively update a distribution of postulated defect size given a series of negative results (i.e. no defects detected). The negative monitoring results continuously filter out possible cases of severe damage, which in turn updates the estimated probability of failure. An implementation of the particle filtering method that takes into account the effect of systematic uncertainty in the detection capabilities of a monitoring system is also proposed, addressing the problem of whether negative measurements are simply a consequence of defects occurring outside the sensors field of view. A simulated example of fatigue crack growth is used to demonstrate the proposed framework. The results demonstrate that permanently installed sensors with low susceptibility to systematic effects may be used to maintain confidence in fitness-for-service while relying on fewer inspections. The framework provides a method for using permanently installed sensors to achieve continuous assessments of fitness-for-service for improved integrity management.



中文翻译:

一种基于损伤检测结构健康监测数据的结构完整性保证概率方法

使用永久安装的监控系统管理工程资产寿命的价值取决于对其损坏检测能力的信心。提出了一个框架,将来自永久安装的监测系统的检测数据与概率结构完整性评估相结合。检测概率 (POD) 曲线与粒子滤波方法结合使用,以递归更新假定缺陷尺寸的分布,给定一系列负面结果(即未检测到缺陷)。负面监测结果不断过滤掉可能出现严重损坏的情况,从而更新估计的故障概率。还提出了一种考虑到系统不确定性对监控系统检测能力的影响的粒子滤波方法的实现,解决了负面测量是否仅仅是传感器视场外发生的缺陷的结果的问题。疲劳裂纹扩展的模拟示例用于演示所提出的框架。结果表明,永久性安装的对系统影响的敏感性较低的传感器可用于保持对服务适用性的信心,同时依赖较少的检查。该框架提供了一种使用永久安装的传感器来实现服务适应性的持续评估以改进完整性管理的方法。解决负面测量是否仅仅是传感器视场外发生缺陷的结果的问题。疲劳裂纹扩展的模拟示例用于演示所提出的框架。结果表明,永久性安装的对系统影响的敏感性较低的传感器可用于保持对服务适用性的信心,同时依赖较少的检查。该框架提供了一种使用永久安装的传感器来实现服务适应性的持续评估以改进完整性管理的方法。解决负面测量是否仅仅是传感器视场外发生缺陷的结果的问题。疲劳裂纹扩展的模拟示例用于演示所提出的框架。结果表明,永久安装的对系统影响的敏感性较低的传感器可用于保持对服务适用性的信心,同时依赖较少的检查。该框架提供了一种使用永久安装的传感器来实现服务适应性的持续评估以改进完整性管理的方法。结果表明,永久性安装的对系统影响的敏感性较低的传感器可用于保持对服务适用性的信心,同时依赖较少的检查。该框架提供了一种使用永久安装的传感器来实现服务适应性的持续评估以改进完整性管理的方法。结果表明,永久性安装的对系统影响的敏感性较低的传感器可用于保持对服务适用性的信心,同时依赖较少的检查。该框架提供了一种使用永久安装的传感器来实现服务适应性的持续评估以改进完整性管理的方法。

更新日期:2021-08-19
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