薄壳机匣开孔补强的应力集中分析

发动机机匣上安装凸台结构，可简化为机匣壳体开孔后用围壁和加强板组合补强的力学模型。文中从弹性力学的基本公式出发，采用上述简化模型，得到了壳体孔边应力分析的计算公式，并编制了计算程序，进行了实例计算，获得了发动机机匣各种安装凸台的应力集中系数。本文的研究成果对合理地确定机匣安装凸台的几何形状和尺寸具有参考价值。     

Improved interpretation of solar wind ion measurements via high-resolution magnetic field data

The Wind   spacecraft’s Faraday cups (FC) continue to produce high-quality, in situ observations of thermal protons (i.e., ionized hydrogen) and α$\alpha$-particles (i.e., fully ionized helium) in the solar wind. By fitting a Wind/FC ion spectrum with a model velocity distribution function (VDF) for each particle species, values for density, bulk velocity, and temperature can be inferred. Incorporating measurements of the background magnetic field from the Wind Magnetic Field Investigation (MFI) allows perpendicular and parallel temperature components to be separated. Prior implementations of this analysis averaged the higher-cadence Wind/MFI measurements to match that of the Wind/FC ion spectra. However, this article summarizes recent and extensive revisions to the analysis software that, among other things, eliminate such averaging and thereby account for variations in the direction of the magnetic field over the time taken to measure the ions. A statistical comparison reveals that the old version consistently underestimates the temperature anisotropy of ion VDF’s: averaging over fluctuations in the magnetic field essentially blurs the perpendicular and parallel temperature components, which makes the plasma seem artificially more isotropic. The new version not only provides a more accurate dataset of ion parameters (which is well suited to the study of microkinetic phenomena), it also demonstrates a novel technique for jointly processing particle and field data. Such methods are crucial to heliophysics as wave-particle interactions are increasingly seen as playing an important role in the dynamics of the solar wind and similar space plasmas.     

A point-wise least squares spectral analysis (LSSA) of the Caspian Sea level fluctuations,using TOPEX/Poseidon and Jason-1 observations

The Caspian Sea has displayed considerable fluctuations in its water level during the past century. Knowledge of such fluctuation is vital for understanding the local hydrological cycles, climate of the region, and construction activities within the sea and along its shorelines. This study established a point-wise satellite altimetry approach to monitor the fluctuations of the Caspian Sea using a complete dataset of TOPEX/Poseidon for the period 1993 to the middle of 2002, and its follow-on Jason-1 for the period 2002 to August 2009. Therefore, 280 virtual time-series were constructed to monitor the fluctuations. The least squares spectral analysis (LSSA) method is, then employed to find the most significant frequencies of the time-series, while the statistical method of principle component analysis (PCA) is applied to extract the dominant variability of level variations. The study also used the observations of TOPEX/Poseidon and Jason-1 over the Volga River along with 5 years of Volga’s water discharge to study its influence on the Caspian Sea level changes. The LSSA results indicate that the lunar semidiurnal (M2) and the Sun semidiurnal (S2) frequencies are the main tidal frequencies of the Caspian Sea with the mean amplitude of 4.2 and 2.8 cm, respectively. A statistically significant long-term frequency (12.5-years period) is also found from altimetry and tide gauge observations. A phase lag, related to the inter-annual frequencies of the Volga River was detected from the point-wise time-series showing level propagation from the northwest to the southeast of the sea. The cross-correlation between the power spectrum of Volga and that of the northern-most, middle, and southern-most points within the Caspian Sea were respectively 0.63, 0.51 and 0.4 of zero-lag correlation, corroborating the influence of the Volga River. The result of PCA also shows that different parts of the Caspian Sea exhibit different amplitudes of level variations, indicating that the point-wise approach, when employing all available satellite measurements could be a suitable method for a preliminary monitoring of this inland water resource as it gives accurate local fluctuations.     

基于相关分析和组合神经网络的退化预测

产品剩余寿命预测是加速退化试验和故障预测与健康管理两大热点领域中的关键技术之一.为了解决复杂退化的预测问题,提出了一种新型预测方法,对退化轨迹能够实现较长距离的预测.此方法首先对复杂退化数据进行小波变换,通过Durbin-Watson方法和偏相关图分析各级分解序列的自相关性,最后根据序列的特点,组合BP(Back Propagation)和小波神经网络对退化轨迹进行预测.为了验证所提组合神经网络方法的有效性,采用小波神经网络的预测结果进行对比分析.实际退化数据的预测结果表明,所提方法比单独采用小波神经网络,具有更小的均方差(MSE,Mean Square Error),对剩余寿命(RUL,Remaining Useful Life)也具有更高的预测精度.     

加速度计贮存稳定期分析

在石英挠性加速度计有限元仿真分析的基础上,得到了加速度计标度因数稳定性随温度及时间的变化数据,采用乘积型最小二乘曲面拟合方法对标度因数稳定性、时间、温度数据进行拟合,建立了标度因数稳定性的加速退化近似模型;考虑不同产品间的分散差异和试验测试误差,对加速退化近似模型进行随机化处理,基于一阶泰勒展开计算方差的方法,给出含置信度的加速退化近似模型;结合加速度计贮存条件,进行基于模型的贮存稳定期分析,得到贮存条件下给定稳定性判据时的加速度计稳定期;同时,也可以给出加速度计稳定性评价结果,判断某贮存条件下贮存一段时间后的稳定性是否能够满足要求.     

时间触发AFDX网络的设计和实时性分析

时间触发机制可以近一步提高航空电子全双工交换式以太网(AFDX,Avionics Full Duplex Switched Ethernet)的确定性,保障时间关键消息具有完全的时间确定性.将时间触发机制引入了AFDX网络,设计了时间触发ADFX网络(TTAFDX,Time-Triggered AFDX)的体系结构,包括协议栈、虚拟链路类型、端系统调度、交换机调度、透明通信机制和降级通信机制,并且设计了端系统和交换机的时刻调度算法.对TTAFDX网络从理论和仿真实验两方面进行了分析,验证了TTAFDX网络对时间关键消息的完全时间确定性的保障.     

小型无人机伞降回收运动分析CSCD

针对小型无人机伞降回收的特点,研究了在无人机回收过程中,飞机及降落伞系统的运动轨迹及姿态。通过分析机伞间的力学关系,建立了机伞系统运动模型,并进行了仿真分析,给出了无风情况下回收运动的仿真结果。结果表明,系统能够满足无人机回收要求,可以决定最佳的回收参数,从而得到最优回收轨迹和姿态。     

环境激励下运输类飞机颤振试飞技术研究

介绍了两种类型运输类飞机基于自然飞行大气环境激励下的颤振试飞的测试技术、飞行技术、数据分析技术和部分试飞结果.试飞证明虽然利用此类激励获得的结构响应信号幅值较小,但是在多输入多输出系统振型分析基础上,实现了小幅值信号密集模态的准确识别.     

喷管分离流流动-热-结构顺序耦合数值模拟及试验研究

针对大膨胀比喷管气流分离状态下喷管所受的复杂载荷,采用数值方法分析喷管结构.利用有限体积二阶迎风插值格式及SST涡耗散湍流模型,结合二层增强型壁面函数,求解N-S方程、热传导方程.采用流固耦合的流动与换热模型,流场与结构温度场互为边界条件交互数据,实现了流场解算与温度场解算的耦合数值分析.应用有限元方法对给定的温度场及压力载荷作用下的结构进行了瞬态静力分析,实现了流动-热-结构的顺序耦合.采用此计算模型对轴对称拉瓦尔喷管进行了数值模拟,发现在大膨胀比下喷管发生气流分离,经分离处的斜激波后气流温度梯度及压力梯度变化较大,导致该区域应力较大.为验证模型的准确性,开展了试验研究,测得的气流分离位置和计算得到的分离位置很好的符合,说明了计算方法的有效性.     

感应电动机寿命预测的加速退化试验方法研究

感应电动机正常使用时一般具有长寿命高可靠性,为在较短时间内预测感应电动机的寿命,提出了一种简单易行的感应电动机加速退化试验方法:在电动机转轴上偏心安装圆孔叶片模拟电动机负载工作时承受的不平衡载荷,并且通过改变叶片偏心安装孔的位置模拟增大不平衡载荷。进行了3种应力形式的试验研究,以试验中测得的电动机轴心轨迹面积值表征电动机的性能退化指标,建立了轴心轨迹面积相对变化的漂移Brown运动和幂律加速退化模型,利用无偏估计法和最小二乘法得到模型参数的估计,外推获得叶片无偏心安装状态下的不平衡重力矩,以该值作为电动机正常工作时承受的不平衡载荷,预测和分析了电动机正常工作寿命和可靠性,验证了加速退化试验方法的可行性和高效性。