Journal of Civil Aviation University of China ›› 2025, Vol. 43 ›› Issue (1): 1-10.

• Safety and airworthiness of civil aircraft •     Next Articles

Sensitivity analysis of engine safety affecting factors based on the turbocharging
system model

LI Guo1a, 2 , WANG Zilu1b , TENG Yida1b , XU Tongge1b
  

  1. 1a. Institute of Science and Technology; 1b. School of Energy and Power Engineering, Beihang University, Beijing 100191, China;
    2. Tianmushan Laboratory, Hangzhou 311115, China 
  • Received:2024-06-14 Revised:2024-10-15 Online:2025-04-09 Published:2025-04-09

Abstract:

Adopting turbocharging system can effectively restore the high-altitude power performance of the engine and improve the working ceiling of general aircraft. However, while improving the engine performance, its safety should
also be given sufficient attention. In order to improve the safety of the turbocharging system of aviation reciprocating engine and provide suggestions for actual operation, this paper combines model-based system safety analysis,
"V" shaped safety analysis, response surface methodology (RSM), and Sobol factor sensitivity analysis method, and
taking Rotax914 as prototype, a quasi dimensional model for the entire engine and fitting equation are constructed
for global sensitivity analysis. The sensitivity of the turbocharging system performance of aviation reciprocating engine to different safety affecting factors are analyzed and compared. The results indicate that the sensitivity index of
altitude is much higher than other factors, and the sensitivity index of intake valve diameter is higher than that of
exhaust valve diameter but they are similar in magnitude. The effective length of air filter has almost no effect on the
engine turbocharging system under normal operating condition. Therefore, during the actual operation, the change
range of safety affecting factors can be adjusted according to the analysis results, in order to reducing the uncertainty of key factors and conducting efficient and intuitive safety analysis.

Key words:

sensitivity analysis

CLC Number: