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

摘要：

　　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.

关键词： Aircraft structure Aluminum alloy BP neural net Newton interpolation algorithm Corrosion fatigue life Simulation calculation

作者: Zhi-guo LIU Zhi-tao MU Zeng-jie CAI Shi-lu ZHANG

作者单位: Naval Aeronautical Engineering Academy Qingdao Branch,Qingdao,China,266041

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Mechanical Engineering and Materials Engineering (机械工程与材料工程国际会议())

会议地点: 香港

会议语种:英文

页码: 1159-1162

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）