金属机件腐蚀损伤日历寿命的计算模型和确定方法

给出一种计算金属机件腐蚀损伤的日历持续时间（寿命）计算模型和确定方法,它适用于飞机、汽车、轮船和其它在腐蚀环境下工作的机件日历寿命的确定。该模型和方法只要有相应腐蚀环境的T-H曲线和使用环境的温度－时间腐蚀谱,就可计算出腐蚀机件的持续腐蚀时间,即日历寿命。     

一种外场不完整故障数据的处理方法

分析了外场故障数据的构成和性质,根据实践中经常出现的不完整数据类型,提出了一种数据处理方法,充分利用不良数据的有效信息,解决了传统处理方法对外场数据随机性的破坏和可靠性分布的影响。通过应用实例,对不同的可靠性参数评估结果进行对比,验证了方法的有效性和实用性。     

基于全寿命周期的三种航材保障模式下的成本分析

运用现金流量折现法分析了高价件的三种航材保障模式在全寿命周期内的总成本,并以此为依据,尝试选择最为经济的保障模式.     

导弹用非金属材料贮存期评估技术及应用

非金属材料的老化是影响导弹贮存可靠性的重要因素之一。本文针对导弹用非金属材料,介绍了国内外关于贮存期评估技术研究的现状和应用,总结了非金属材料的典型老化模型和寿命评估方法,分析预测了非金属材料贮存期评估技术的发展方向。     

Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm

Lithium-ion batteries have become the third-generation space batteries and are widely utilized in a series of spacecraft. Remaining Useful Life (RUL) estimation is essential to a spacecraft as the battery is a critical part and determines the lifetime and reliability. The Relevance Vector Machine (RVM) is a data-driven algorithm used to estimate a battery’s RUL due to its sparse feature and uncertainty management capability. Especially, some of the regressive cases indicate that the RVM can obtain a better short-term prediction performance rather than long-term prediction. As a nonlinear kernel learning algorithm, the coefficient matrix and relevance vectors are fixed once the RVM training is conducted. Moreover, the RVM can be simply influenced by the noise with the training data. Thus, this work proposes an iterative updated approach to improve the long-term prediction performance for a battery’s RUL prediction. Firstly, when a new estimator is output by the RVM, the Kalman filter is applied to optimize this estimator with a physical degradation model. Then, this optimized estimator is added into the training set as an on-line sample, the RVM model is re-trained, and the coefficient matrix and relevance vectors can be dynamically adjusted to make next iterative prediction. Experimental results with a commercial battery test data set and a satellite battery data set both indicate that the proposed method can achieve a better performance for RUL estimation.     

Testing and evaluation for fatigue crack propagation of Ti-6Al-4V/ELI and 7050-T7452 alloys at high temperatures

This paper seeks to evaluate crack propagation properties and residual lives of metallic alloys subjected to fatigue loading at room and high temperatures. Fatigue crack growth tests were performed on Ti-6Al-4V/ELI and 7050-T7452 subjected to constant-amplitude and actual randomspectra loading at room temperature of about 25 ℃ and at high temperatures of 250 ℃ and 150 ℃ to determine their crack growth properties and residual lives. The damage mode and mechanisms at high temperature were compared with those at room temperature on the basis of the results of fractographic analysis. Temperature-dependent residual lives under actual random-spectra load history were evaluated based on a modified accumulation damage rule accounting for the load interaction.Good correlation was achieved between the predictions and actual experiments, demonstrating the practical and effective use of the proposed method.     

基于应力分布模型的随机疲劳加速试验设计

将两段式S-N曲线应用于Dirlik随机振动疲劳寿命预测模型,分段计算各自的疲劳损伤并进行叠加。基于该模型所模拟的应力幅值分布,推导了在两段式S-N曲线的情况下激励放大倍数同疲劳寿命之间的等效关系,并提出了基于该等效关系的加速试验寿命换算方法,为加速试验应力等级的确定提供了参考。针对随机振动中小应力幅占比较大的情况,该方法优化了这一部分的损伤计算方式,同时该方法还可以推广至超高周疲劳等需要使用多段式S-N曲线表达疲劳性能的情况中去,得到更加贴近实际的理论疲劳寿命与加速寿命间的等效关系。通过分析算例表明,在两段式S-N曲线下,应力与寿命也大体呈现出了两段式的对数线性关系,并使用文献中的试验数据进行了验证。     

战术导弹用固体发动机长寿命和免维修技术进展

阐述了近年来战术导弹固体发动机长寿命、免维修技术研究领域的一些进展；并根据最近的研究动态和相关技术的发展，展望了这一研究领域未来的发展趋势。     

涡轮导向叶片热疲劳分析

某型涡扇发动机在进行地面性能试验时,高压涡轮导向叶片多台次出现了严重裂纹故障。本文以其失效分析为背景,推导出导向叶片瞬态温度场的计算方法,并对该导向叶片进行了瞬态温度场数值分析,进而得出导向叶片的瞬态热应力分布与热疲劳寿命的计算结果。同时对此故障产生的原因进行进一步的分析。分析的结果与该机地面性能试验数据基本吻合,因此,此分析过程可作为热疲劳寿命计算的借鉴。      

晶体取向的偏差和随机性对镍基单晶叶片强度与蠕变寿命的影响

本文提出双参数蠕变损伤模型用以模拟镍基单晶合金叶片的强度和寿命。该模型得到单轴应力状态和模拟叶片、双剪切试样复杂应力状态的考核。叶片分析表明:单晶叶片轴向的偏角增大,强度的分散性变大。两个不受控的晶体取向变化时,滑移系的分切应力最大有15%的变化;轴向的偏角的增大,寿命的分散性变大,15°的偏角,寿命偏差6倍。两个不受控的晶体取向变化时,寿命有50%的变化。结果表明:对叶片进行3维取向优化,可以提高叶片的蠕变寿命。