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Identification of Key Factors Affecting the Safety Design of Aviation Piston Engine Based on Kriging-Sobol

  • Guo Li
  • , Yida Teng*
  • , Mengyao Bao
  • , Tongge Xu
  • , Zilu Wang
  • , Shuiting Ding
  • *此作品的通讯作者
  • Tianmushan Laboratory
  • Beihang University
  • Civil Aviation Management Institute of China
  • Civil Aviation University of China

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Aiming at the safety of aviation piston engines and the complex issues of inefficient calculation by traditional safety evaluation methods, a model-based system safety analysis method based on Kriging-Sobol is proposed to research the design safety of piston engines and to identify key parameters. Depending on the characteristics of aviation piston engines involving multiple physical domains and model-based safety evaluation criteria, the Kriging model is used to enhance the computational efficiency, and a quantitative safety evaluation model is established by the concept of Sobol variance. Results show that the calculation method using the Kriging model could save 95.58% of the calculation costs; under the case in this study, the impact of injected mass per cycle on the safety of the overall engine is the greatest. The method not only improves the efficiency of identifying key factors of aviation piston engine safety evaluation and saves costs of iterations in design phase, but also compensates for the deficiency of engine safety evaluation in multiple physical domains.

源语言英语
主期刊名2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
编辑Song Fu
出版商Springer Science and Business Media Deutschland GmbH
1601-1616
页数16
ISBN(印刷版)9789819739974
DOI
出版状态已出版 - 2024
活动Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023 - Lingshui, 中国
期限: 16 10月 202318 10月 2023

出版系列

姓名Lecture Notes in Electrical Engineering
1050 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
国家/地区中国
Lingshui
时期16/10/2318/10/23

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