邢玮,穆志韬,周立建.基于腐蚀损伤表征因子的疲劳寿命衰减影响研究[J].装备环境工程,2011,8(4):49-53,58. XING Wei,MU Zhi-tao,ZHOU Li-jian.Research on Influence on Fatigue Life Attenuation Based Corrosion Damage Characterization Factors[J].Equipment Environmental Engineering,2011,8(4):49-53,58.
基于腐蚀损伤表征因子的疲劳寿命衰减影响研究
Research on Influence on Fatigue Life Attenuation Based Corrosion Damage Characterization Factors
投稿时间:2011-02-26  修订日期:2011-08-15
DOI:
中文关键词:  疲劳寿命累积衰减模型  MIT  疲劳寿命累积衰减速率  LMS  神经网络
英文关键词:cumulative corrosion fatigue life model  MIT  LMS  cumulative fatigue life attenuation rate  neural network
基金项目:
作者单位
邢玮 海军航空工程学院 青岛分院,山东 青岛 266041 
穆志韬 海军航空工程学院 青岛分院,山东 青岛 266041 
周立建 海军航空工程学院 青岛分院,山东 青岛 266041 
AuthorInstitution
XING Wei Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao 266041,China 
MU Zhi-tao Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao 266041,China 
ZHOU Li-jian Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao 266041,China 
摘要点击次数:
全文下载次数:
中文摘要:
      应用MIT (Mean Impact Value) 方法对LY12CZ铝合金试件疲劳寿命产生影响的腐蚀损伤表征因子进行筛选, 得到了对疲劳寿命衰减影响较大的5个腐蚀损伤表征因子。定义了腐蚀疲劳寿命累积衰减函数与疲劳寿命衰减速率函数, 建立了寿命累积衰减模型, 验证了该模型的准确性, 并以腐蚀损伤表征因子和腐蚀累积衰减函数为数据样本, 用BP神经网络、 自适应滤波的LMS算法分别预测了不同年限下的疲劳寿命。与实验测得的疲劳寿命数据对比后得出, BP神经网络、 LMS方法计算产生的误差在工程上可以接受。
英文摘要:
      Corrosion damage characterization factors of LY12CZ aluminum alloy were filtrated using MIT(Mean Impact Value)method. Five corrosion damage characterization factors were obtained, which has significant influence on fatigue life attenuation. The functions of cumulative corrosion fatigue life and cumulative fatigue life attenuation rate were defined. The cumulative corrosion fatigue life model was established and its accuracy was verified. Corrosion damage characterization factors and the cumulative fatigue life attenuation function were taken as specimen. The fatigue lives of LY12CZ aluminum alloy of different service time were predicted with BP neural network and LMS algorithm. The results were than compared with experimentation results. It was proved that the error generated by BP neural network and LMS algorithm can be accepted in engineering.
查看全文  查看/发表评论  下载PDF阅读器
关闭

关于我们 | 联系我们 | 投诉建议 | 隐私保护 | 用户协议

您是第12767176位访问者    渝ICP备15012534号-5

版权所有:《装备环境工程》编辑部 2014 All Rights Reserved

邮编:400039     电话:023-68792835    Email: zbhjgc@163.com

视频号 公众号