Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk

LI Quan-tong; JING Xiao-ning; L Wen-lin

Volume 18 Issue 2

Apr. 2003

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Article Navigation > Journal of Aerospace Power > 2003 > 18(2): 211-215

LI Quan-tong, JING Xiao-ning, L Wen-lin. Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk[J]. Journal of Aerospace Power, 2003, 18(2): 211-215.

Citation:

LI Quan-tong, JING Xiao-ning, L Wen-lin. Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk[J]. Journal of Aerospace Power, 2003, 18(2): 211-215.

LI Quan-tong, JING Xiao-ning, L Wen-lin. Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk[J]. Journal of Aerospace Power, 2003, 18(2): 211-215.

Citation:

LI Quan-tong, JING Xiao-ning, L Wen-lin. Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk[J]. Journal of Aerospace Power, 2003, 18(2): 211-215.

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Artificial Neural Networks-Based Creep Reliability Analysis Method of Turbine Disk

1.
Northwestern Polytechnical University,Xi'an710072,China
2.
The Airforce Engineering University,Xi'an710038 China

Received Date: 2002-04-01
Rev Recd Date: 2002-09-29
Publish Date: 2003-04-28

Abstract

Abstract

The basic variables are sampled by Monte Carlo method. Instead of complicate finite element analysis,a Neural Network,which was well trained by the results of ADINA program,is used to calculate the displacement at the rim of turbine disc.As a result,this paper shows how to use Neural Network method to calculate the creep reliability of an aero engine turbine disc.
- aerospace propulsion,
- neural network,
- turbine disc,
- creep,
- reliability