Reliability of aircraft structures under non-periodic inspection: a Bayesian approach

Deodatis, George; Asada, Hiroo; Ito, Seiichi

doi:10.1016/0013-7944(95)00137-9

Cited by 31 publications

(6 citation statements)

References 4 publications

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“…Using equation (28), which is introduced in the appendix, the reliability is calculated for a single inspection, and the results under different distribution parameters are presented in figure 7.…”

Section: Reliability Evaluation Of Structures For a Single Inspectionmentioning

confidence: 99%

“…Current structural repair manuals and associated literature define structural inspection intervals and repair measures. However, in actual application, these inspection intervals are frequently observed to be relatively conservative, and repeated inspections notably amplify airline costs [25][26][27][28]. The traditional method employs actual damage size data captured in the service difficulty reports (SDRs) provided by airlines to ascertain the reliability function of a structure, depicting the statistical characteristics of its comprehensive damage.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic probability modeling-based inspection intervals optimization for civil aircraft composite structures using Bayesian updating

Li,

Zuo,

Yang

2024

Smart Mater. Struct.

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The evaluation of damage tolerance in composite materials is essential for ensuring the safety of aircraft structures. One of the most challenging aspects of applying probability modeling-based methods to evaluate damage tolerance is determining the actual damage size distributions for in-service aircraft structures. Although existing nondeterministic approaches have been used to optimize inspection intervals of composite structures, few studies have investigated the effects of updates on the actual damage size distribution and its impact on both the probability of structural failure and inspection intervals. This paper proposes a dynamic optimization method for inspection intervals of composite structures based on Bayesian updating. The damage size distribution of the composite structure is characterized by a general stochastic distribution. A Bayesian updating methodology is presented to iteratively update the actual damage size distribution whenever new data becomes available. Based on the constructed probability model, the inspection intervals of composite structures are determined under the objectives of optimal safety and economy for civil aircraft using a Monte Carlo approach. Compared to prior distribution models, the proposed method achieves higher safety for structures during a single inspection, reduces the failure probability of structures throughout their entire service life, and incurs lower maintenance costs. It also enables maintenance personnel to flexibly adjust inspection intervals while facilitating quantitative evaluation of both failure probabilities and maintenance costs associated with these intervals. These findings suggest that the proposed method holds great potential in enabling maintenance personnel to make informed decisions regarding inspection intervals for improved safety and economic performance.

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Section: Reliability Evaluation Of Structures For a Single Inspectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic probability modeling-based inspection intervals optimization for civil aircraft composite structures using Bayesian updating

Li,

Zuo,

Yang

2024

Smart Mater. Struct.

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“…In the method introduced by Deodatis et al (1996), the likelihood function of the possible events concerning an element at the time of inspection, is determined from the historical information on all previous inspections since start-up. This determination is not possible if this information is incomplete.…”

Section: Conditional Probabilitiesmentioning

confidence: 99%

Optimization of non-periodic inspection of structural components by Bayesian approach

Huang¹,

Knopp

Tsunokai³

et al. 2018

Mechanical Engineering Journal

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There is demand for performing maintenance of aging infrastructure more efficiently and effectively in many industries. For safety-critical infrastructure such as nuclear power plants, aircraft structural components, and aircraft turbine engines, the optimization of inspections with respect to cost and reliability is desired. The concept of Bayesian analysis was applied to the inspection procedure, (

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“…Finite element model updating using measured system response has a wide range of applications in areas such as structural response prediction, structural control, structural health monitoring, reliability and risk assessment, etc. [1,2,3,4]. For a proper assessment of the updated model all uncertainties involved in the problem should be considered.…”

Section: Introductionmentioning

confidence: 99%

The Use of Model Reduction Techniques in Complex Simulation-Based Problems Involving Finite Element Models

Jensen¹,

Muñoz

Millas

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Reliability of aircraft structures under non-periodic inspection: a Bayesian approach

Cited by 31 publications

References 4 publications

Dynamic probability modeling-based inspection intervals optimization for civil aircraft composite structures using Bayesian updating

Dynamic probability modeling-based inspection intervals optimization for civil aircraft composite structures using Bayesian updating

Optimization of non-periodic inspection of structural components by Bayesian approach

The Use of Model Reduction Techniques in Complex Simulation-Based Problems Involving Finite Element Models

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