Research on Aircraft Aluminum Alloy Structure Corrosion Fatigue Life Based on Artificial Neural Net Theory

Zhi Guo Liu; Zhi Tao Mu; Zeng Jie Cai; Shi Lu Zhang

doi:10.4028/www.scientific.net/AMM.184-185.1159

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 184-185Research on Aircraft Aluminum Alloy Structure...

Research on Aircraft Aluminum Alloy Structure Corrosion Fatigue Life Based on Artificial Neural Net Theory

Abstract:

Ther BP neural net model which is a branch of artificial neural net theory was adopted to analyse the problem of aircraft LY12CZ structure corrosion fatigue life considering the effect of stress level and corrosion environment,and Newton interpolation algorithm was used to increase the quantity and enhance the quality of BP net model training data. The application result show that the BP net model can simulate the value and development trend of corrosion fatigue life with higher precision contrast to the traditional method of exponential function fitting.

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Periodical:

Applied Mechanics and Materials (Volumes 184-185)

Pages:

1159-1162

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.184-185.1159

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Online since:

June 2012

Authors:

Zhi Guo Liu, Zhi Tao Mu, Zeng Jie Cai, Shi Lu Zhang

Keywords:

Aircraft Structure, Aluminium Alloy, BP Neural Net, Corrosion Fatigue Life, Newton Interpolation Algorithm, Simulation Calculation

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