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Date of Employment:2024-01-16

School/Department:Beihang University

Education Level:博士研究生

Gender:Male

Contact Information:zhoux@buaa.edu.cn

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:Beihang University and Politecnico di Milano

ZHOU Xuan

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Gender:Male

Education Level:博士研究生

Alma Mater:Beihang University and Politecnico di Milano

Paper

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Setting Adaptive Inspection Intervals in Helicopter Components, Based on a Digital Twin

Impact Factor:2.1
DOI number:10.2514/1.J062222
Journal:AIAA Journal
Abstract:Setting inspection intervals based on an accurate prediction of fatigue crack sizes is essential for sustaining the integrity of aeronautical structures. However, the fatigue crack growth and its prognosis are affected by various uncertainties, which makes the current inspection strategy with fixed intervals challenging in managing the aircraft with diverse damage states in a fleet. In this study, an intelligent crack inspection strategy is proposed based on a digital twin, in which a reduced-order fracture mechanics simulation methodology, a validated fatigue crack growth model, and the historical crack length inspection results are integrated into a dynamic Bayesian network. The proposed strategy uses two connected probabilistic processes, which conduct the diagnosis/prognosis and calculate the inspection intervals, respectively, to adaptively set the inspection intervals according to the updating of the digital twin model. The proposed inspection strategy is demonstrated by the various crack growth histories of a helicopter component and benchmarked against several baselines. The results show that the probability of failure can be kept below the threshold, even though the initial crack size and the crack growth parameters are underestimated in the prior distribution. Further applications on more realistic aircraft structures will be carried out in the future.
Co-author:Xuan Zhou*,Chaoyang Wang,Leiting Dong*,Satya N. Atluri
First Author:Fubin Zhao
Indexed by:Journal paper
First-Level Discipline:Aeronautical and Astronautical Science and Technology
Document Type:J
Volume:60
Issue:6
Page Number:2675-2688
Translation or Not:no
Date of Publication:2023-06-01
Included Journals:SCI