Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis

When solving complex time-variant reliability analysis(TRA)problems,the traditional TRA methods have the problem of low solving efficiency. Based on the approximating most-probable-points trajectory (AMPPT)method,the efficient approximating the most-probable-point trajectory(EAMPPT)method for TRA is...

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Main Authors: ZOU Nanzheng, GONG Chunlin, ZHANG Yunwei, MA Mengying, DU Siyi, LI Chunna
Format: Article
Language:zho
Published: Editorial Department of Advances in Aeronautical Science and Engineering 2024-02-01
Series:Hangkong gongcheng jinzhan
Subjects:
Online Access:http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-51.htm
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author ZOU Nanzheng
GONG Chunlin
ZHANG Yunwei
MA Mengying
DU Siyi
LI Chunna
author_facet ZOU Nanzheng
GONG Chunlin
ZHANG Yunwei
MA Mengying
DU Siyi
LI Chunna
author_sort ZOU Nanzheng
collection DOAJ
description When solving complex time-variant reliability analysis(TRA)problems,the traditional TRA methods have the problem of low solving efficiency. Based on the approximating most-probable-points trajectory (AMPPT)method,the efficient approximating the most-probable-point trajectory(EAMPPT)method for TRA is proposed. According to the characteristics that the reliability of weakest part of the system determines the reliability of the system,EAMPPT takes full account of prediction values and their errors in the process of approximating the most-probable-point trajectory. The mathematical example is used to verify the effectiveness of the adaptive sampling method. EAMPPT is applied to solve TRA problems involving hydrokinetic turbine blades and the wing of the reusable aerospace during reenter. The results show that the calculation accuracy of the proposed EAMPPT and time-discretization based TRA method is similar,but the number of performance function evaluations of EAMPPT is less than 3% of traditional TDTRA.
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spelling doaj.art-04aabd47fceb4d0f8e82254cf82e67962024-03-07T09:54:37ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902024-02-01151516010.16615/j.cnki.1674-8190.2024.01.062024016Efficient approximating the most-probable-point trajectory method for time-variant reliability analysisZOU Nanzheng0GONG Chunlin1ZHANG Yunwei2MA Mengying3DU Siyi4LI Chunna5School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaBeijing Institute of Astronautical System Engineering, Beijing 100076, ChinaChina Academy of Launch Vehicle Technology, Beijing 100076, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi'an 710072, ChinaWhen solving complex time-variant reliability analysis(TRA)problems,the traditional TRA methods have the problem of low solving efficiency. Based on the approximating most-probable-points trajectory (AMPPT)method,the efficient approximating the most-probable-point trajectory(EAMPPT)method for TRA is proposed. According to the characteristics that the reliability of weakest part of the system determines the reliability of the system,EAMPPT takes full account of prediction values and their errors in the process of approximating the most-probable-point trajectory. The mathematical example is used to verify the effectiveness of the adaptive sampling method. EAMPPT is applied to solve TRA problems involving hydrokinetic turbine blades and the wing of the reusable aerospace during reenter. The results show that the calculation accuracy of the proposed EAMPPT and time-discretization based TRA method is similar,but the number of performance function evaluations of EAMPPT is less than 3% of traditional TDTRA.http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-51.htmtime-variant reliabilitytime discretizationmost-probable-point trajectorykriging modeladaptive sampling
spellingShingle ZOU Nanzheng
GONG Chunlin
ZHANG Yunwei
MA Mengying
DU Siyi
LI Chunna
Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
Hangkong gongcheng jinzhan
time-variant reliability
time discretization
most-probable-point trajectory
kriging model
adaptive sampling
title Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
title_full Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
title_fullStr Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
title_full_unstemmed Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
title_short Efficient approximating the most-probable-point trajectory method for time-variant reliability analysis
title_sort efficient approximating the most probable point trajectory method for time variant reliability analysis
topic time-variant reliability
time discretization
most-probable-point trajectory
kriging model
adaptive sampling
url http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-51.htm
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AT mamengying efficientapproximatingthemostprobablepointtrajectorymethodfortimevariantreliabilityanalysis
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