东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (8): 1161-1164.DOI: -

• 论著 • 上一篇    下一篇

某型航空发动机涡轮盘的可靠性灵敏度设计

杨周;杜尊令;张义民;   

  1. 东北大学机械工程与自动化学院;沈阳机床股份有限公司中捷钻镗床厂;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    长江学者和创新团队发展计划项目(IRT0816);;

Reliability-based sensitivity design of an aero-engine turbine disk

Yang, Zhou (1); Du, Zun-Ling (2); Zhang, Yi-Min (1)   

  1. (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China; (2) China-Czechoslovakia Drilling and Boring Machine Works, Shenyang Machine Tools Co. Ltd., Shenyang 110142, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhang, Y.-M.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

601

摘要： 航空发动机涡轮盘结构比较复杂,无法直接获得极限状态方程的显示表达式.针对这一问题,提出了涡轮盘可靠性灵敏度设计的Monte Carlo-随机有限元法与神经网络技术相结合的方法.考虑了涡轮盘结构的几何尺寸、材料性能特性和环境载荷的随机性,利用神经网络的非线性映射功能,模拟得到随机响应与随机参数的关系表达式,采用一次二阶矩法进行可靠性设计;通过对涡轮盘的可靠性灵敏度设计,得到了各参数均值和方差对涡轮盘可靠性的影响情况.利用结构可靠性分析软件NESSUS验证了所提方法的正确性,为涡轮盘可靠性灵敏度设计提供了理论参考.

关键词: 可靠性灵敏度设计, 涡轮盘, Monte Carlo-随机有限元法, 神经网络, 一次二阶矩

Abstract: An approach combining Monte Carlo-stochastic finite element method and neural network is proposed for the reliability-based sensitivity design of a turbine disk. It can solve the problem that the explicit expression of the ultimate state equation of the aero-engine turbine disk can't be directly obtained because of its complicated structure. Considering such parameters of the turbine disk as the dimension of the geometry, material characteristics and randomness of the environmental load, the relational expression between the random response and random parameters is simulated using the nonlinear mapping function of neural network. Following the trained neural network, the first order second moment method is chosen to design the reliability. The effect of the parameters' means and variances on the reliability is achieved through the reliability-based sensitivity design of the turbine disk. The proposed method is verified by the structural reliability analysis software NESSUS. It provides a theoretical reference for reliability-based sensitivity design of the turbine disk.

中图分类号: