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Search Results (3)

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Keywords = probabilistic damage tolerance analysis

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16 pages, 8740 KB  
Article
Crack Growth Analytical Model Considering the Crack Growth Resistance Parameter Due to the Unloading Process
by Guo Li, Shuchun Huang, Zhenlei Li, Wanqiu Lu, Shuiting Ding, Rong Chen and Fan Cao
Aerospace 2024, 11(10), 841; https://doi.org/10.3390/aerospace11100841 - 12 Oct 2024
Cited by 1 | Viewed by 1266
Abstract
Crack growth analysis is essential for probabilistic damage tolerance assessment of aeroengine life-limited parts. Traditional crack growth models directly establish the stress ratio–crack growth rate or crack opening stress relationship and focus less on changes in the crack tip stress field and its [...] Read more.
Crack growth analysis is essential for probabilistic damage tolerance assessment of aeroengine life-limited parts. Traditional crack growth models directly establish the stress ratio–crack growth rate or crack opening stress relationship and focus less on changes in the crack tip stress field and its influence, so the resolution and accuracy of maneuvering flight load spectral analysis are limited. To improve the accuracy and convenience of analysis, a parameter considering the effect of unloading amount on crack propagation resistance is proposed, and the corresponding analytical model is established. The corresponding process for acquiring the model parameters through the constant amplitude test data of a Ti-6AL-4V compact tension specimen is presented. Six kinds of flight load spectra with inserted load pairs with different stress ratios and repetition times are tested to verify the accuracy of the proposed model. All the deviations between the proposed model and test life results are less than 10%, which demonstrates the superiority of the proposed model over the crack closure and Walker-based models in addressing relevant loading spectra. The proposed analytical model provides new insights for the safety of aeroengine life-limited parts. Full article
(This article belongs to the Section Aeronautics)
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12 pages, 5264 KB  
Article
Probabilistic Failure Risk of Aeroengine Life-Limited Parts Considering the Random Load Interference Effect
by Guo Li, Shuchun Huang, Wanqiu Lu, Junbo Liu, Shuiting Ding, Gong Zhang and Bo Zhen
Aerospace 2023, 10(3), 301; https://doi.org/10.3390/aerospace10030301 - 17 Mar 2023
Cited by 5 | Viewed by 2141
Abstract
Probabilistic failure risk analysis of aeroengine life-limited parts is of great significance for flight safety. Current probabilistic failure risk analysis uses equal amplitude load calculations for conservative estimation, avoiding inclusion of the interference effect analyzing random loads due to its massive computational complexity [...] Read more.
Probabilistic failure risk analysis of aeroengine life-limited parts is of great significance for flight safety. Current probabilistic failure risk analysis uses equal amplitude load calculations for conservative estimation, avoiding inclusion of the interference effect analyzing random loads due to its massive computational complexity and leading to reduced analysis accuracy. Here, an efficient algorithm is established to solve this computational problem, and an analytical framework is established to consider the interference effect of variable amplitude load. The corresponding probabilistic failure risk analysis is performed for the centrifugal compressor disk. The results show that considering the interference effect of random variable amplitude loads causes a significant decrease in the risk of failure, and the efficient algorithm has advantages over the Monte Carlo sampling method in accuracy and efficiency when considering load interference. This work provides a reference for exploring the probabilistic damage tolerance method under complex loads and supports the optimal design of life-limited parts. Full article
(This article belongs to the Section Aeronautics)
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23 pages, 8204 KB  
Article
A Multivariable Method for Calculating Failure Probability of Aeroengine Rotor Disk
by Guo Li, Junbo Liu, Liu Yang, Huimin Zhou and Shuiting Ding
Aerospace 2023, 10(3), 296; https://doi.org/10.3390/aerospace10030296 - 16 Mar 2023
Cited by 1 | Viewed by 2281
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Civil and Military Airworthiness: Recent Developments and Challenges (Volume III))
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