The effects of material variations on aircraft inspection schedules based on stochastic crack growth model

Chung De Chen; Chuan I. Liu; Ju Ming Chen; Armstrong Yu; Hsi Tsung Hsu

doi:10.1016/j.ijfatigue.2007.06.003

The effects of material variations on aircraft inspection schedules based on stochastic crack growth model

Chung De Chen, Chuan I. Liu, Ju Ming Chen, Armstrong Yu, Hsi Tsung Hsu

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Based on stochastic crack growth model, the effects of material variations on aircraft inspection schedules are investigated in this paper. Fatigue tests are performed to obtain the log standard deviation of fatigue lives due to material variations. The test materials are 7475-T7351, 7050-T7451, 2024-T851 and 2124-T851. The effects of material variation on inspection schedule are significant. For a large material variation, the inspection schedule should be shortened for conservative consideration. The effects of sample size on the material variation under 50% and 95% confidence levels are investigated numerically. The results of this study provide a guideline to allocate resources of fleet planning more realistically by compromising between the cost (or time) of fatigue experiments and aircraft inspections.

Original language	English
Pages (from-to)	861-869
Number of pages	9
Journal	International Journal of Fatigue
Volume	30
Issue number	5
DOIs	https://doi.org/10.1016/j.ijfatigue.2007.06.003
Publication status	Published - 2008 May

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Materials Science(all)
Mechanics of Materials
Mechanical Engineering
Industrial and Manufacturing Engineering

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10.1016/j.ijfatigue.2007.06.003

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title = "The effects of material variations on aircraft inspection schedules based on stochastic crack growth model",

abstract = "Based on stochastic crack growth model, the effects of material variations on aircraft inspection schedules are investigated in this paper. Fatigue tests are performed to obtain the log standard deviation of fatigue lives due to material variations. The test materials are 7475-T7351, 7050-T7451, 2024-T851 and 2124-T851. The effects of material variation on inspection schedule are significant. For a large material variation, the inspection schedule should be shortened for conservative consideration. The effects of sample size on the material variation under 50% and 95% confidence levels are investigated numerically. The results of this study provide a guideline to allocate resources of fleet planning more realistically by compromising between the cost (or time) of fatigue experiments and aircraft inspections.",

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AU - Chen, Chung De

AU - Liu, Chuan I.

AU - Chen, Ju Ming

AU - Yu, Armstrong

AU - Hsu, Hsi Tsung

PY - 2008/5

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N2 - Based on stochastic crack growth model, the effects of material variations on aircraft inspection schedules are investigated in this paper. Fatigue tests are performed to obtain the log standard deviation of fatigue lives due to material variations. The test materials are 7475-T7351, 7050-T7451, 2024-T851 and 2124-T851. The effects of material variation on inspection schedule are significant. For a large material variation, the inspection schedule should be shortened for conservative consideration. The effects of sample size on the material variation under 50% and 95% confidence levels are investigated numerically. The results of this study provide a guideline to allocate resources of fleet planning more realistically by compromising between the cost (or time) of fatigue experiments and aircraft inspections.

AB - Based on stochastic crack growth model, the effects of material variations on aircraft inspection schedules are investigated in this paper. Fatigue tests are performed to obtain the log standard deviation of fatigue lives due to material variations. The test materials are 7475-T7351, 7050-T7451, 2024-T851 and 2124-T851. The effects of material variation on inspection schedule are significant. For a large material variation, the inspection schedule should be shortened for conservative consideration. The effects of sample size on the material variation under 50% and 95% confidence levels are investigated numerically. The results of this study provide a guideline to allocate resources of fleet planning more realistically by compromising between the cost (or time) of fatigue experiments and aircraft inspections.

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JO - International Journal of Fatigue

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The effects of material variations on aircraft inspection schedules based on stochastic crack growth model

Abstract

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