Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks

Volume: 25, Issue: 2, Pages: 338 - 345
Published: Feb 25, 2012
Abstract
Fatigue life and reliability of aero-engine blade are always of important significance to flight safety. The establishment of damage model is one of the key factors in blade fatigue research. Conventional linear Miner’s sum method is not suitable for aero-engine because of its low accuracy. A back propagation neutral network (BPNN) based on the combination of Levenberg-Marquardt (LM) and finite element method (FEM) is used to describe process of...
Paper Details
Title
Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks
Published Date
Feb 25, 2012
Volume
25
Issue
2
Pages
338 - 345
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