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    <title>Auteurs : V. F. Strelchonok</title>
    <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2838</link>
    <description>Publications of Auteurs V. F. Strelchonok</description>
    <language>fr</language>
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      <title>Anticipatory Adaptive Control of Inspection Planning Process in Service of Fatigued Aircraft Structures</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3198</link>
      <description>In this paper, a control theory is used for planning inspections in service of fatigue-sensitive aircraft structure components under crack propagation. One of the most important features of control theory is its great generality, enabling one to analyze diverse systems within one unified framework. A key idea, which has emerged from this study, is the necessity of viewing the process of planning in-service inspections as an adaptive control process. Adaptation means the ability of self-modification and self-adjustment in accordance with varying conditions of environment. The adaptive control of inspection planning process in service of fatigued aircraft structures differs from ordinary stochastic control of inspection planning process in that it attempts to reevaluate itself in the light of uncertainties in service of aircraft structures as they unfold and change. Thus, a catastrophic accident during flight can be avoided. </description>
      <pubDate>Wed, 11 Sep 2024 17:02:22 +0200</pubDate>
      <lastBuildDate>Thu, 10 Oct 2024 16:27:31 +0200</lastBuildDate>
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      <title>Stochastic Models for Prediction of Fatigue-Crack Growth in Aircraft Structure Components</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2836</link>
      <description>For important fatigue-sensitive structures of aircraft whose breakdowns cause serious accidents, it is required to keep their reliability extremely high. In this paper, we discuss inspection strategies for such important structures against fatigue failure. The focus is on the case when there are fatigue-cracks unexpectedly detected in a fleet of aircraft within a warranty period (prior to the first inspection). The paper examines this case and proposes stochastic models for prediction of fatigue-crack growth to determine appropriate inspections intervals. We also do not assume known parameters of the underlying distributions, and the estimation of that is incorporated into the analysis and decision-making. Numerical example is provided to illustrate the procedure. </description>
      <pubDate>Tue, 03 Sep 2024 15:00:02 +0200</pubDate>
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