A probabilistic method for structural integrity assurance based on damage detection structural health monitoring data

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