刘新灵, 赵凯, 刘春江. 飞机金属结构防护层在多因素耦合作用下损伤行为与失效预测模型[J]. 失效分析与预防, 2020, 15(6): 349-357, 364. DOI: 10.3969/j.issn.1673-6214.2020.06.002
    引用本文: 刘新灵, 赵凯, 刘春江. 飞机金属结构防护层在多因素耦合作用下损伤行为与失效预测模型[J]. 失效分析与预防, 2020, 15(6): 349-357, 364. DOI: 10.3969/j.issn.1673-6214.2020.06.002
    LIU Xin-ling, ZHAO Kai, LIU Chun-jiang. Damage Behavior and Failure Prediction Model of Protective Coatings for Aircraft Metal Structure under Multi-factor Coupling Effect[J]. Failure Analysis and Prevention, 2020, 15(6): 349-357, 364. DOI: 10.3969/j.issn.1673-6214.2020.06.002
    Citation: LIU Xin-ling, ZHAO Kai, LIU Chun-jiang. Damage Behavior and Failure Prediction Model of Protective Coatings for Aircraft Metal Structure under Multi-factor Coupling Effect[J]. Failure Analysis and Prevention, 2020, 15(6): 349-357, 364. DOI: 10.3969/j.issn.1673-6214.2020.06.002

    飞机金属结构防护层在多因素耦合作用下损伤行为与失效预测模型

    Damage Behavior and Failure Prediction Model of Protective Coatings for Aircraft Metal Structure under Multi-factor Coupling Effect

    • 摘要: 模拟飞机中央翼、平尾大轴等部位的基体及其防护层,在紫外、热冲击、低温疲劳、盐雾多因素耦合作用下开展试验,对不同试样的损伤形貌和电化学参量随着试验周期的演变规律进行统计分析。结果表明:损伤主要为颜色变化和鼓泡,损伤形貌的变化与低频下阻抗模值存在一定的对应关系;给出不同失效阶段低频电化学阻抗模值范围以及对应的失效形貌。对国内外防护层失效预测模型进行调研分析,防护层失效预测模型主要有阻抗模值数据处理法、老化动力学模型。分析现有模型存在的局限性,在此基础上,对老化动力学模型进行改进,提出全频率老化动力学模型,并新建立神经元网络失效预测模型。利用铝合金、钢及其防护层在不同实验条件下的实验结果对各模型的预测结果进行比对分析。

       

      Abstract: Samples simulating the substrate and its protective coating of central wing, flat tail shaft and other parts of aircraft were tested under multifactor coupling effect of ultraviolet ray, thermal shock, low temperature fatigue and salt mist. The damage morphologies and electrochemical parameters of different samples after different test periods were statistically analyzed. The results show that the damage is mainly color change and bubbling, and there is a certain correspondence between the damage morphology and the impedance modulus at low frequency. The range of low-frequency electrochemical impedance modulus at different failure stages and the corresponding failure morphologies were given in this paper. The protective coatings failure prediction models at home and abroad were investigated and analyzed. The failure prediction models mainly include impedance modulus data processing method and aging dynamic model. Based on the analysis of the limitations of the existing models, the aging dynamic model was improved, a full frequency aging dynamic model was proposed, and a new neuronal network failure prediction model was established. The prediction results of the models were compared and analyzed by using the experimental results of aluminum alloy, steel and their protective coatings under different experimental conditions.

       

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