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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
  • *Corresponding author for this work
  • Tianmushan Laboratory
  • Beihang University
  • Civil Aviation Management Institute of China
  • Civil Aviation University of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
EditorsSong Fu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1601-1616
Number of pages16
ISBN (Print)9789819739974
DOIs
StatePublished - 2024
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2023 - Lingshui, China
Duration: 16 Oct 202318 Oct 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1050 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Country/TerritoryChina
CityLingshui
Period16/10/2318/10/23

Keywords

  • Aviation Piston Engine
  • Model-Based Safety Assessment
  • Sensitivity Analysis
  • System Safety

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