A Multivariable Method for Calculating Failure Probability of Aeroengine Rotor Disk-Reference-Cited by-同舟云学术

A Multivariable Method for Calculating Failure Probability of Aeroengine Rotor Disk

Published:2023-03-16 Issue:3 Volume:10 Page:296
ISSN:2226-4310
Container-title:Aerospace
language:en
Short-container-title:Aerospace

Author:

Li Guo¹,Liu Junbo¹^ORCID,Yang Liu²^ORCID,Zhou Huimin¹^ORCID,Ding Shuiting¹

Affiliation:

1. Aircraft & Engine Integrated System Safety Beijing Key Laboratory, School of Energy and Power Engineering, Beihang University, Beijing 100191, China

2. School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China

Abstract

The probabilistic damage tolerance analysis of aeroengine rotor disks is essential for determining if the disk is safe. To calculate the probability of failure, the numerical integration method is efficient if the integral formula of the probability density function is known. However, obtaining an accurate integral formula for aeroengine disks is generally complicated due to their complex failure mechanism. This article proposes a multivariable numerical integral method for calculating the probability of failure. Three random variables (initial defect length a, life scatter factor S, and stress scatter factor B) are considered. A compressor disk model is evaluated. The convergence, efficiency, and accuracy of the proposed method are compared with the Monte Carlo simulation and importance sampling method. The results show that the integral-based method is 100 times more efficient under the same convergence and accuracy conditions.

Funder

Civil Aviation Administration of China

Special Foundation for Civil Aircraft Research of the Ministry of Industry and Information Technology of the People’s Republic of China

Innovation Team of Complex System Safety and Airworthiness of Aero Engine from the Co-Innovation Centre for Advanced Aeroengine of China

Publisher

MDPI AG

Subject

Aerospace Engineering

Link

https://www.mdpi.com/2226-4310/10/3/296/pdf

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