Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts

The goal of this paper is to investigate the possible directions of some specified methods for aeronautical and aerospace material and structure effectiveness modeling and optimization. Multioptionality hybrid function uncertainty conditional optimization doctrine application is supposed to be imple...

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Main Author: Andriy Viktorovich Goncharenko
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2018/4126085
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author Andriy Viktorovich Goncharenko
author_facet Andriy Viktorovich Goncharenko
author_sort Andriy Viktorovich Goncharenko
collection DOAJ
description The goal of this paper is to investigate the possible directions of some specified methods for aeronautical and aerospace material and structure effectiveness modeling and optimization. Multioptionality hybrid function uncertainty conditional optimization doctrine application is supposed to be implemented for a degrading failure problem optimal solution determination. The optimal solution is assumed to deliver the maximum value to the probability of damage but not the failure state of the studied material behavior. The principal supposition is that there should be some certain objectively existing value extremized in the conditions of the hybrid optional function uncertainty. There is a scientific proof for the choice of a good maintenance optimal periodicity method that fits the customer’s needs, taking into account the effectiveness functions pertaining to the options. The described doctrine allows obtaining the objectively existing optimal values not with the help of a probabilistic but rather with a multioptimal concept. The subjective entropy maximum principle is the other paradigm concept involved in the considered problem solution, which is an equivalent for the uncertainty conditional optimization at the optimal hybrid function distribution determination. By applying simplified, however possible, models and expressions for effectiveness, plausible results are obtained and illustrated in diagrams visualizing the situation and allowing for the selection of a good choice. The ideas of the required material method choice optimization with respect to only two simple parameters, nevertheless, develop numerous particular combinations. Moreover, an increase in the number of parameters and further complication of the problem setting will not change the principle of the problem solution.
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institution Kabale University
issn 1687-5966
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publishDate 2018-01-01
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spelling doaj-art-9484a58239c340b3a912f51d48f9c4552025-02-03T05:48:12ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/41260854126085Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical ConceptsAndriy Viktorovich Goncharenko0Aircraft Airworthiness Retaining Department, Educational and Research Airspace Institute, National Aviation University, 1 Kosmonavta Komarova Avenue, Kyiv 03058, UkraineThe goal of this paper is to investigate the possible directions of some specified methods for aeronautical and aerospace material and structure effectiveness modeling and optimization. Multioptionality hybrid function uncertainty conditional optimization doctrine application is supposed to be implemented for a degrading failure problem optimal solution determination. The optimal solution is assumed to deliver the maximum value to the probability of damage but not the failure state of the studied material behavior. The principal supposition is that there should be some certain objectively existing value extremized in the conditions of the hybrid optional function uncertainty. There is a scientific proof for the choice of a good maintenance optimal periodicity method that fits the customer’s needs, taking into account the effectiveness functions pertaining to the options. The described doctrine allows obtaining the objectively existing optimal values not with the help of a probabilistic but rather with a multioptimal concept. The subjective entropy maximum principle is the other paradigm concept involved in the considered problem solution, which is an equivalent for the uncertainty conditional optimization at the optimal hybrid function distribution determination. By applying simplified, however possible, models and expressions for effectiveness, plausible results are obtained and illustrated in diagrams visualizing the situation and allowing for the selection of a good choice. The ideas of the required material method choice optimization with respect to only two simple parameters, nevertheless, develop numerous particular combinations. Moreover, an increase in the number of parameters and further complication of the problem setting will not change the principle of the problem solution.http://dx.doi.org/10.1155/2018/4126085
spellingShingle Andriy Viktorovich Goncharenko
Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
International Journal of Aerospace Engineering
title Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
title_full Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
title_fullStr Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
title_full_unstemmed Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
title_short Aeronautical and Aerospace Material and Structural Damages to Failures: Theoretical Concepts
title_sort aeronautical and aerospace material and structural damages to failures theoretical concepts
url http://dx.doi.org/10.1155/2018/4126085
work_keys_str_mv AT andriyviktorovichgoncharenko aeronauticalandaerospacematerialandstructuraldamagestofailurestheoreticalconcepts