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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Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2024-02-01
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Series: | Hangkong gongcheng jinzhan |
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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. |
first_indexed | 2024-04-25T02:14:33Z |
format | Article |
id | doaj.art-04aabd47fceb4d0f8e82254cf82e6796 |
institution | Directory Open Access Journal |
issn | 1674-8190 |
language | zho |
last_indexed | 2024-04-25T02:14:33Z |
publishDate | 2024-02-01 |
publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
record_format | Article |
series | Hangkong gongcheng jinzhan |
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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