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腐蚀/疲劳交替作用下飞机金属材料疲劳寿命计算方法
引用本文:张海威,何宇廷,范超华,刘昭彤,伍黎明.腐蚀/疲劳交替作用下飞机金属材料疲劳寿命计算方法[J].航空学报,2013,34(5):1114-1121.
作者姓名:张海威  何宇廷  范超华  刘昭彤  伍黎明
作者单位:1. 空军工程大学航空航天工程学院,陕西西安,710038
2. 解放军驻122厂军代室,黑龙江哈尔滨,150060
3. 中国空间技术研究院西安分院,陕西西安,710000
摘    要: 使用环境下飞机金属结构剩余寿命评定是确定飞机结构疲劳寿命与日历寿命关系的关键。为此,本文模拟飞机结构经历的"地面腐蚀+空中疲劳"过程,提出了腐蚀/疲劳交替作用下飞机金属材料的疲劳寿命计算方法。首先,通过分析2A12-T4铝合金试样预腐蚀/疲劳试验结果,发现其在模拟腐蚀/疲劳交替作用时计算得到的疲劳寿命偏于保守。随后,根据2A12-T4铝合金试样真实的交替试验结果,采用回归算法,建立了基于均匀分布耦合损伤形式的腐蚀/疲劳交替寿命计算模型;并分别采用BP、Elman神经网络对上述模型的计算结果进行验证。结果表明,本文提出的均匀分布耦合损伤模型计算结果与真实试验结果吻合较好;通过进一步的计算与试验对比发现,该模型也可以用于加载循环与腐蚀周期组合发生变化时的疲劳寿命预测,具有较好的适用性。

关 键 词:腐蚀  疲劳  2A12-T4铝合金  均匀分布  神经网络  

Fatigue Life Prediction Method for Aircraft Metal Material Under Alternative Corrosion/Fatigue Process
ZHANG Haiwei , HE Yuting , FAN Chaohua , LIU Zhaotong , WU Liming.Fatigue Life Prediction Method for Aircraft Metal Material Under Alternative Corrosion/Fatigue Process[J].Acta Aeronautica et Astronautica Sinica,2013,34(5):1114-1121.
Authors:ZHANG Haiwei  HE Yuting  FAN Chaohua  LIU Zhaotong  WU Liming
Institution:1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038;
2. The Military Representative Office of PLA Residing in Factory 122, Harbin 150060;
3. Xi'an Branch, Chinese Academy of Space Technology, Xi'an 710000
Abstract:Residual life evaluation for aircraft metal components is critical in the consideration of the relationship of fatigue life and calendar life under in-service environments. Therefore, the process of "corrosion on the ground+fatigue in the air" is simulated to establish a fatigue life prediction model under an alternative corrosion-fatigue process. Firstly, 2A12-T4 aluminum alloy specimens are implemented with a pre-corrosion fatigue test. Compared with the actual data, the theoretical life obtained by simulating the alternative corrosion-fatigue process based on the pre-corrosion test results is rather conservative. Afterwards, an alternative corrosion-fatigue prediction model based on actual alternative test results is established by regression arithmetic with coupling damage uniform distribution. Furthermore, the BP and Elman artificial neural networks are used to verify the model. The result shows that the predicted life by the coupling damage uniform distribution model is in good agreement with the actual life. Further calculation and test results show that the model can be used to predict the fatigue life with different combinations of loading cycles and corrosion times, and it exhibits good perspective for application.
Keywords:corrosion  fatigue  2A12-T4 aluminum alloy  uniform distribution  neural network
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