On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle

The structural reliability analysis suffers from the curse of dimensionality if the associated limit state function involves a large number of inputs. This study develops a reliability analysis method that deals with high-dimensional inputs over time. The probability distribution of the structural r...

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Main Authors: Fuliang Zhou, Yu Hou, Hong Nie
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2022/6612864
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author Fuliang Zhou
Yu Hou
Hong Nie
author_facet Fuliang Zhou
Yu Hou
Hong Nie
author_sort Fuliang Zhou
collection DOAJ
description The structural reliability analysis suffers from the curse of dimensionality if the associated limit state function involves a large number of inputs. This study develops a reliability analysis method that deals with high-dimensional inputs over time. The probability distribution of the structural response is reconstructed by the maximum entropy principle which is achieved by solving an optimization problem derived from the concept of relative entropy. The optimization problem is transformed into a convex one with respect to the orders of fractional moments and the Lagrange multipliers. Additionally, considering the associated computational issues, it is reformulated with side constraints on the parameters of the maximum entropy distribution. Then, a global optimization procedure is performed. The proposed method is successfully applied to the reliability analysis of a linear and a nonlinear structural system, which involves a large number of inputs deriving from the discretization of the input random processes.
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issn 1687-5974
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Aerospace Engineering
spelling doaj-art-5ad9d502a76f4ae48acec76dd5bc0c0e2025-02-03T01:10:19ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/6612864On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy PrincipleFuliang Zhou0Yu Hou1Hong Nie2College of Aerospace EngineeringSchool of Aeronautic EngineeringCollege of Aerospace EngineeringThe structural reliability analysis suffers from the curse of dimensionality if the associated limit state function involves a large number of inputs. This study develops a reliability analysis method that deals with high-dimensional inputs over time. The probability distribution of the structural response is reconstructed by the maximum entropy principle which is achieved by solving an optimization problem derived from the concept of relative entropy. The optimization problem is transformed into a convex one with respect to the orders of fractional moments and the Lagrange multipliers. Additionally, considering the associated computational issues, it is reformulated with side constraints on the parameters of the maximum entropy distribution. Then, a global optimization procedure is performed. The proposed method is successfully applied to the reliability analysis of a linear and a nonlinear structural system, which involves a large number of inputs deriving from the discretization of the input random processes.http://dx.doi.org/10.1155/2022/6612864
spellingShingle Fuliang Zhou
Yu Hou
Hong Nie
On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
International Journal of Aerospace Engineering
title On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
title_full On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
title_fullStr On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
title_full_unstemmed On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
title_short On High-Dimensional Time-Variant Reliability Analysis with the Maximum Entropy Principle
title_sort on high dimensional time variant reliability analysis with the maximum entropy principle
url http://dx.doi.org/10.1155/2022/6612864
work_keys_str_mv AT fuliangzhou onhighdimensionaltimevariantreliabilityanalysiswiththemaximumentropyprinciple
AT yuhou onhighdimensionaltimevariantreliabilityanalysiswiththemaximumentropyprinciple
AT hongnie onhighdimensionaltimevariantreliabilityanalysiswiththemaximumentropyprinciple