含缺陷轮盘失效概率分析流程与数值模拟

doi:10.13675/j.cnki. tjjs. 180796

推进技术 ›› 2019, Vol. 40 ›› Issue (11): 2562-2570.DOI: 10.13675/j.cnki. tjjs. 180796

含缺陷轮盘失效概率分析流程与数值模拟

王佳良^1,2,魏大盛^1,2,王延荣^1,2,张凯^1,2,钟波^1,2

1.北京航空航天大学能源与动力工程学院，北京 100191;2.先进航空发动机协同创新中心，北京;100191

发布日期:2021-08-15
作者简介:王佳良，博士生，研究领域为航空发动机强度与可靠性。E-mail：naz.wjl.150@buaa.edu.cn
基金资助:
国家自然科学基金 51475024国家自然科学基金（51475024）。

Analysis Procedure and Numerical Simulation of Failure Probability of Turbine Disk Caused by Defects

1.School of Energy and Power Engineering,Beihang University,Beijing 100191,China;2.Collaborative Innovation Center for Advanced Aero-Engine,Beijing 100191,China

Published:2021-08-15

摘要/Abstract

摘要： 传统的涡轮盘寿命预测方法未考虑材料初始缺陷，因而无法对带缺陷轮盘进行较准确的寿命预测。本文以加工制造过程中产生的不同缺陷分布特征为基础，重点针对加工导致的孔表面缺陷以及与材料固有的表面、亚表面及内部缺陷，开展航空发动机涡轮盘的失效概率分析。考虑了初始缺陷、应力、检测时间、检测水平等多种随机性对涡轮盘失效概率的影响，建立了含缺陷涡轮盘的失效概率分析流程。为提高计算效率，对轮盘固有缺陷的分析方法进行改进，对轮盘重新分区，并将表层细分为表面、亚表面、内部三部分分别进行计算。通过编写C++程序分析并验证了含缺陷轮盘失效概率分析方法的可行性，获得的结论具有工程应用参考价值。本文方法在满足一定精度的同时具有较高的计算效率，并对应力水平、检测时间的分散性和模拟次数等对失效概率的影响进行了讨论。

关键词: 涡轮盘;损伤容限;失效概率;缺陷;检测时间;检出概率

Abstract: The traditional turbine disk life prediction method does not consider the initial defects of the material, so it is impossible to predict the life of disk with defects accurately. Based on the distribution characteristics of defects produced in the different manufacturing processes, the failure probability of a turbine disk caused by defects was analyzed, focusing on the bore surface defects caused by the manufacturing process as well as the inherent material surface, sub-surface and internal defects. With the consideration of randomness of the initial defects, stress, inspection time and detectable levels, the probability of failure analysis process in the aero-engine turbine disk with defects was built. Furthermore, the analysis methods of the turbine disk with inherent defects was ameliorated, and the turbine disk was divided into four zones in which the surface zone was ulteriorly classified as surface, sub-surface and inside three parts. Finally by writing a C++ program the probability of failure analysis method was verified, and the conclusions obtained have engineering reference value. The proposed method has higher computational efficiency with the satisfied precision, and the influence about scatter of stress level, scatter of detection time and simulation times on failure probability was discussed.

Key words: Turbine disk;Damage tolerance;Probability of failure;Defect;Time of detection;Detected probability

王佳良,魏大盛,王延荣,张凯,钟波. 含缺陷轮盘失效概率分析流程与数值模拟[J]. 推进技术, 2019, 40(11): 2562-2570.

WANG Jia-liang^1,2,WEI Da-sheng^1,2,WANG Yan-rong^1,2,ZHANG Kai^1,2,ZHONG Bo^1,2. Analysis Procedure and Numerical Simulation of Failure Probability of Turbine Disk Caused by Defects[J]. Journal of Propulsion Technology, 2019, 40(11): 2562-2570.

参考文献

[1] 刘成立，吕振宙，徐有良. 粉末冶金涡轮盘裂纹扩展寿命可靠性灵敏度分析[J]. 稀有金属材料与工程， 2006， 35(5): 761-765.
[2] 徐凌志，吴小丽，吕文林. 粉末冶金盘中夹杂位置随机性的裂纹扩展失效概率分析方法[J]. 机械科学与技术， 2001， 20(3): 440-441.
[3] Yang J N， Chen S U. Fatigue Reliability of Gas Turbine Engine Components under Scheduled Inspection Maintenance[J]. Journal of Aircraft， 1985， 22(5): 415-422.
[4] Lin K Y， Styuart A V. Probabilistic Approach to Damage Tolerance Design of Aircraft Composite Structures[J]. Journal of Aircraft， 2007， 44(4): 1309-1317.
[5] Wu Y T， Enright M P， Millwater H R. Probabilistic Methods for Design Assessment of Reliability with Inspection[J]. AIAA Journal， 2002， 40(5): 937-946.
[6] Turbine Rotor Material Design—Final Report. Southwest Research Inst.， Signal Allied，General Electric Aircraft Engines，Pratt and Whitney Aircraft （United Technolo-gies）， Rolls-Royce， and Scientific Ferming Technologies［R］.
[7] McClung R C， Leverant G R， Wu Y T， et al. Development of a Probabilistic Design System for Gas Turbine Rotor Integrity[C]. Beijing: International Fatigue Conference， 1999.
[8] Enright M P， Millwater H R， Huyse L. Adaptive Optimal Sampling Methodology for Zone-Based Probabilistic Life Prediction[R]. AIAA2004-1829.
[9] 董玉华，余大涛，高惠临. Monte-Carlo 法计算含缺陷油气输送管线的失效概率[J]. 机械工程学报， 2004， 40(2): 136-140.
[10] 陈国华. 含缺陷压力容器失效概率分析方法初步研究[J]. 化工机械， 1996， 23(4): 40-43.
[11] Garza J， Millwater H. Sensitivity of Probability of Failure Estimates with Respect to Probability of Detection Curve Parameters[J]. International Journal of Pressure Vessels and Piping， 2012， 92(1): 84-95.
[12] Guidance Material for Aircraft Engine Life-Limited Parts Requiremants［R］. U.S. Dept. Transportation of， Federal Aviation Administration， Rept. AC 33.70.1 Washington， DC， July. 2009.
[13] Guidance Material for 14 Cfr § 33.75， Safety Analysis ［R］. U.S. Dept. of Transportation， Federal Aviation Administration， Rept. AC 33.75.1， Washington， DC， Mar. 2005.
[14] Michael P E， Stephen J H， McClung R C. Application of Probabilistic Fracture Mechanics to Prognosis of Aircraft Engine Components[J]. AIAA Journal， 2006， 44(2):311-316.
[15] Millwater H R， Enright M P， Fitch S H K. A Convergent Probabilistic Technique for Risk Assessment of Gas Turbine Disks Subject to Metallurgical Defects[R]. AIAA2002-1382.
[16] Damage Tolerance of Hole Feature in High-Energy Turbine Engine Rotors［R］. U.S. Dept. Transportation of， Federal Aviation Administration， Rept. AC 33.70.2， Washington， DC， Aug. 2009.
[17] Ding S， Wang Z， Qiu T， et al. Probabilistic Failure Risk Assessment for Aeroengine Disks Considering a Transient Process[J]. Aerospace Science and Technology， 2018， 78: 696-707.
[18] Wang R， Liu X， Hu D， et al. Zone-Based Reliability Analysis on Fatigue Life of GH720Li Turbine Disk Concerning Uncertainty Quantification[J]. Aerospace Science and Technology， 2017， 70: 300-309.
[19] 魏大盛，杨晓光，王延荣. 基于缺陷分布形式的粉末冶金涡轮盘可靠度计算模型[J]. 机械工程学报， 2008， 44(11)： 132-137.
[20] 中国航空研究院. 应力强度因子手册[M]. 北京:科学出版社， 1981.
[21] 中国航空研究院. 应力强度因子手册（增订版）[M]. 北京: 科学出版社， 1993.
[22] 魏大盛，杨晓光，王延荣. 基于缺陷概率特点的粉末冶金材料寿命预测概率模型[J]. 航空动力学报， 2005， 20(6): 951-957.

含缺陷轮盘失效概率分析流程与数值模拟

Analysis Procedure and Numerical Simulation of Failure Probability of Turbine Disk Caused by Defects

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价