Statistical analysis of the occurrence rate of geomagnetic storms during solar cycles 20–24

This study examines the occurrences rate of geomagnetic storms during the solar cycles (SCs) 20–24. It also investigates the solar sources at SCs 23 and 24. The Disturbed storm time (Dst) and Sunspot Number (SSN) data were used in the study. The study establishes that the magnitude of the rate of occurrences of geomagnetic storms is higher (lower) at the descending phases (minimum phases) of solar cycle. It as well reveals that severe and extreme geomagnetic storms (Dst < -250 nT) seldom occur at low solar activity but at very high solar activity and are mostly associated with coronal mass ejections (CMEs) when occurred. Storms caused by CME + CH-HSSW are more prominent during the descending phase than any other phase of the solar cycle. Solar minimum features more CH-HSSW- associated storms than any other phase. It was also revealed that all high intensity geomagnetic storms (strong, severe and extreme) are mostly associated with CMEs. However, CH-HSSW can occasionally generate strong storms during solar minimum. The results have proven that CMEs are the leading cause of geomagnetic storms at the ascending, maximum and the descending phases of the cycles 23 and 24 followed by CME + CH-HSSW. The results from this study indicate that the rate of occurrence of geomagnetic storms could be predicted in SC phases.     

AA7075-T6 Ⅰ-Ⅱ复合疲劳裂纹扩展研究北大核心CSCD

通过AA7075-T6铝合金在不同加载角度下的Ⅰ-Ⅱ复合高周疲劳裂纹扩展试验,利用FRANC3D中M-积分计算了复合型裂纹尖端的等效应力强度因子幅值,结合七点递增多项式对数据处理,得出了复合疲劳裂纹扩展速率曲线,分析了复合疲劳性能,并探讨了复合裂纹扩展的路径及断口特性。结果给出了纯Ⅰ型疲劳裂纹扩展速率曲线在稳定扩展阶段的Paris公式的参数;并表明:Ⅰ型疲劳裂纹扩展寿命最长,复合疲劳裂纹扩展寿命都有不同程度的减少;复合疲劳裂纹开裂方向的数值分析及实验结果与理论吻合;复合疲劳断口表现为脆性断裂。     

导弹海上补给指挥关系优化分析

针对导弹海上补给指挥关系的优化问题,首先提出了整合导弹海上补给指挥机构从而优化指挥关系的设想,继而分别建立了导弹海上补给指挥关系相应拓扑结构的时效熵和质量熵模型,并通过计算分析对比优化前后指挥关系的优劣,得出了与设想一致的结论。     

基于条纹投射三维测量的铆钉自动化检测技术

针对大型薄壁结构铆接点位自动化检测问题,提出了基于条纹投射三维测量的铆钉检测技术,实现了铆钉镦头尺寸特征高精度测量以及裂纹缺陷自动化识别。在传统条纹投射三维测量的基础上,引入高动态范围(HDR)纹理合成,提出二、三维结合的点云分割策略,实现铆钉尺寸特征高效提取。搭建深度学习神经网络,实现镦头表面缺陷识别。本文搭建了系统原理样机,以铆接桁条样品和标准器作为样件进行系统实验验证。结果表明:实验室条件下,该方法直径测量精度为0.040 mm,高度测量精度为0.013 mm,缺陷识别准确率可达99.30%。与传统方法相比,本文提出的方法更加易于集成,效率高,具有广泛应用价值。