Reliability prediction for structures under cyclic loads and recurring inspections

This work presents a methodology for determining the reliability of fracture control plans for structures subjected to cyclic loads. It considers the variability of the parameters involved in the problem, such as initial flaw and crack growth curve. The probability of detection (POD) curve of the fi...

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Main Authors: Alberto W. S. Mello Jr, Daniel Ferreira V. Mattos
Format: Article
Language:English
Published: Instituto de Aeronáutica e Espaço (IAE) 2009-06-01
Series:Journal of Aerospace Technology and Management
Subjects:
Online Access:http://www.jatm.com.br/papers/vol1_n2/JATMv1n2_p201-209_Reliability_prediction_for_structures_under_cyclic_loads_and_recurring_inspections.pdf
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author Alberto W. S. Mello Jr
Daniel Ferreira V. Mattos
author_facet Alberto W. S. Mello Jr
Daniel Ferreira V. Mattos
author_sort Alberto W. S. Mello Jr
collection DOAJ
description This work presents a methodology for determining the reliability of fracture control plans for structures subjected to cyclic loads. It considers the variability of the parameters involved in the problem, such as initial flaw and crack growth curve. The probability of detection (POD) curve of the field non-destructive inspection method and the condition/environment are used as important factors for structural confidence. According to classical damage tolerance analysis (DTA), inspection intervals are based on detectable crack size and crack growth rate. However, all variables have uncertainties, which makes the final result totally stochastic. The material properties, flight loads, engineering tools and even the reliability of inspection methods are subject to uncertainties which can affect significantly the final maintenance schedule. The present methodology incorporates all the uncertainties in a simulation process, such as Monte Carlo, and establishes a relationship between the reliability of the overall maintenance program and the proposed inspection interval, forming a “cascade” chart. Due to the scatter, it also defines the confidence level of the “acceptable” risk. As an example, the damage tolerance analysis (DTA) results are presented for the upper cockpit longeron splice bolt of the BAF upgraded F-5EM. In this case, two possibilities of inspection intervals were found: one that can be characterized as remote risk, with a probability of failure (integrity nonsuccess) of 1 in 10 million, per flight hour; and other as extremely improbable, with a probability of nonsuccess of 1 in 1 billion, per flight hour, according to aviation standards. These two results are compared with the classical military airplane damage tolerance requirements.
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spelling doaj.art-3740383f2e244b85a3bf4c87459bf8822022-12-22T01:31:56ZengInstituto de Aeronáutica e Espaço (IAE)Journal of Aerospace Technology and Management1984-96482175-91462009-06-0112201209Reliability prediction for structures under cyclic loads and recurring inspectionsAlberto W. S. Mello JrDaniel Ferreira V. MattosThis work presents a methodology for determining the reliability of fracture control plans for structures subjected to cyclic loads. It considers the variability of the parameters involved in the problem, such as initial flaw and crack growth curve. The probability of detection (POD) curve of the field non-destructive inspection method and the condition/environment are used as important factors for structural confidence. According to classical damage tolerance analysis (DTA), inspection intervals are based on detectable crack size and crack growth rate. However, all variables have uncertainties, which makes the final result totally stochastic. The material properties, flight loads, engineering tools and even the reliability of inspection methods are subject to uncertainties which can affect significantly the final maintenance schedule. The present methodology incorporates all the uncertainties in a simulation process, such as Monte Carlo, and establishes a relationship between the reliability of the overall maintenance program and the proposed inspection interval, forming a “cascade” chart. Due to the scatter, it also defines the confidence level of the “acceptable” risk. As an example, the damage tolerance analysis (DTA) results are presented for the upper cockpit longeron splice bolt of the BAF upgraded F-5EM. In this case, two possibilities of inspection intervals were found: one that can be characterized as remote risk, with a probability of failure (integrity nonsuccess) of 1 in 10 million, per flight hour; and other as extremely improbable, with a probability of nonsuccess of 1 in 1 billion, per flight hour, according to aviation standards. These two results are compared with the classical military airplane damage tolerance requirements.http://www.jatm.com.br/papers/vol1_n2/JATMv1n2_p201-209_Reliability_prediction_for_structures_under_cyclic_loads_and_recurring_inspections.pdfReliabilityStructure integrityFatigueDamage tolerance
spellingShingle Alberto W. S. Mello Jr
Daniel Ferreira V. Mattos
Reliability prediction for structures under cyclic loads and recurring inspections
Journal of Aerospace Technology and Management
Reliability
Structure integrity
Fatigue
Damage tolerance
title Reliability prediction for structures under cyclic loads and recurring inspections
title_full Reliability prediction for structures under cyclic loads and recurring inspections
title_fullStr Reliability prediction for structures under cyclic loads and recurring inspections
title_full_unstemmed Reliability prediction for structures under cyclic loads and recurring inspections
title_short Reliability prediction for structures under cyclic loads and recurring inspections
title_sort reliability prediction for structures under cyclic loads and recurring inspections
topic Reliability
Structure integrity
Fatigue
Damage tolerance
url http://www.jatm.com.br/papers/vol1_n2/JATMv1n2_p201-209_Reliability_prediction_for_structures_under_cyclic_loads_and_recurring_inspections.pdf
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AT danielferreiravmattos reliabilitypredictionforstructuresundercyclicloadsandrecurringinspections