COMPARATIVE STUDY OF QUANTITATIVE PREDICTIVE METHOD OF CORROSION DAMAGE FOR ENGINEERING COMPONENTS

J Chin Soc Corr Pro

2003, Vol. 23

Issue (1): 52-55 DOI:

Research Report

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COMPARATIVE STUDY OF QUANTITATIVE PREDICTIVE METHOD OF CORROSION DAMAGE FOR ENGINEERING COMPONENTS

Yueliang Chen;Xiaohua Yang;Guozhi Lv

海军航空工程学院青岛分院飞机教研室

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Yueliang Chen; Xiaohua Yang; Guozhi Lv. COMPARATIVE STUDY OF QUANTITATIVE PREDICTIVE METHOD OF CORROSION DAMAGE FOR ENGINEERING COMPONENTS. J Chin Soc Corr Pro, 2003, 23(1): 52-55 .

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Abstract A prediction model of corrosion damage for aircraft structure and 1Cr17 stainless steel under a varied corrosion environment based on artificial neural net was developed and the nonlinear relationship between a verage corrosion rate,average corrosion loss weight,corrosion depth,corrosion te mperature,immersion duration,concentration was established based on BP learning algorithm.The corrosion characteristic quantity (CCQ) such as surface area,depth and so on can be predicted by means of the trained neural net from the data.The results show that,the model has relative good prediction accuracy and flexibili ty than the gray theory GM(1,1) model and the Logistic model.The prediction mode l based on BP learning algorithm of corrosion damage for aircraft structure is f easible and effective.Thus,by virtue of the prediction model,the future corrosio n status and service duration of engineering structure can be evaluated.

Key words: neural net corrosion aircraft mathematical model service duration

Received: 06 August 2001

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	Guozhi Lv

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2003/V23/I1/52

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