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论文:2021,Vol:39,Issue(6):1240-1248 |
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引用本文： |
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王远卓, 韩治国, 杨子煜, 路成, 薛小锋. 基于粒子群极值Kriging模型的压气机叶盘时变可靠性分析[J]. 西北工业大学学报 |
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WANG Yuanzhuo, HAN Zhiguo, YANG Ziyu, LU Cheng, XUE Xiaofeng. Time-varying reliability analysis of compressor blisk based on particle swash optimization extreme Kriging model[J]. Northwestern polytechnical university |
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| 基于粒子群极值Kriging模型的压气机叶盘时变可靠性分析 |
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| 王远卓1,2, 韩治国2, 杨子煜2, 路成3, 薛小锋4 |
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1. 北京航空航天大学 宇航学院, 北京 100191;
2. 西北工业大学 航天学院, 陕西 西安 710072;
3. 复旦大学 航空航天系, 上海 200433;
4. 西北工业大学 航空学院, 陕西 西安 710072 |
| 摘要: |
| 为了有效实现航空发动机低压压气机叶盘径向变形的动态时变可靠性分析，基于Kriging模型，结合粒子群算法（particle swarm optimization，PSO）与极值思想，提出了粒子群极值Kriging模型（particle swarm optimization extremum Kriging model，PSOEKM）方法。阐述了PSOEKM方法的分析原理；论述了PSOEKM方法的建模思想；探究了基于PSOEKM方法的时变可靠性分析实现途径；以航空发动机低压压气机叶盘为案例，运用PSOEKM实现其动态可靠性分析。分析结果表明：当压气机叶盘径向变形许用值为1.594×10-3 m时，可靠度为99.76%。通过方法对比显示：PSOEKM方法具有较高的分析精度与计算效率。所提出的PSOEKM方法为复杂结构时变可靠性分析提供了一种新的研究思路。 |
| 关键词:
粒子群算法
Kriging
可靠性分析
航空发动机
压气机叶盘
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| Time-varying reliability analysis of compressor blisk based on particle swash optimization extreme Kriging model |
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| WANG Yuanzhuo1,2, HAN Zhiguo2, YANG Ziyu2, LU Cheng3, XUE Xiaofeng4 |
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1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China;
3. Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
4. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| In order to effectively realize the dynamic time-varying reliability analysis of the radial deformation of the aero-engine low pressure compressor, based on Kriging model combined with particle swarm optimization (PSO) and extreme value idea, a particle swarm optimization extremum Kriging model (PSOEKM) method was proposed. Firstly, the analysis principle of PSOEKM method is expounded. Secondly, the modeling idea of PSOEKM method is discussed. Then, the implementation approach of time-varying reliability analysis based on PSOEKM is explored. Finally, taking the aero-engine low pressure compressor blisk as an example, the dynamic reliability analysis is carried out by using PSOEKM. The analysis results show that the reliability is 99.76% when the allowable value of radial deformation of the compressor blisk is 1.594×10-3 m. Compared with the traditional Kriging model and the extreme response surface model, the PSOEKM method has high analysis accuracy and calculation efficiency. The method presented in this paper provides a new research idea for time-varying reliability analysis of complex structures. |
| Key words:
particle swarm optimization
Kriging
reliability analysis
aeroengine
compressor blisk
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| 收稿日期: 2021-03-23
修回日期:
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| DOI: 10.1051/jnwpu/20213961240 |
| 基金项目: 国家自然科学基金（51875465）资助 |
| 通讯作者: 韩治国(1986-),西北工业大学副研究员,主要从事先进控制理论与自适应控制研究。e-mail:zghan2017@nwpu.edu.cn
Email：zghan2017@nwpu.edu.cn |
| 作者简介: 王远卓(1999-),北京航空航天大学硕士研究生,主要从事飞行器总体与制导控制研究。
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