An Analysis of Aircraft Cyber Combat Survivability

飞机网络战斗生存力(ACCS)是飞机生存力的重要组成部分,为了进一步提高飞机生存力设计水平,必须重视飞机网络战斗生存力设计。遵循飞机战斗生存力(ACS)设计原理和框架,类比解析了飞机网络战斗生存力的基本概念和原理框架,给出了优化飞机网络战斗生存力的设计实例,说明了在实际飞机设计时,过分强调网络武器或忽视网络武器都是片面的。给出了6个敏感性减缩措施和6个易损性减缩措施,飞机设计时需要对各种提高飞机生存力的措施进行权衡,力争设计并制造出能力强大、成本效益更好的军用飞机。     

Integration of artificial intelligence with meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin,Eastern India

The main aim of this study is to evaluate the gully erosion susceptibility coupling the artificial intelligence and machine learning ensemble approaches. In the present study, the multilayer perceptron neural network (MLP) was used as the base classifier and the hybrid ensemble machine learning methods i.e. Bagging and Dagging were used as the functional classifiers. The Hinglo river basin, an important tributary of the Ajay River was selected as the study area, consists with the parts of Chhotonagpur plateau and Rarh lateritic region. The study area is facing the gully erosion problems which are interrupted the growth of the agriculture. The gully erosion susceptibility maps (GESMs), prepared by MLP, MLP-Bagging and MLP-Dagging were classified into four classes such as low, moderate, high and very high susceptibility classes with the help of natural break method (NBM) in GIS environment. The very high susceptibility class covered 19.41% (MLP), 13.52% (MLP-Bagging) and 15.30% (MLP-Dagging) areas of the basin. For the evaluation and comparison of the models, receiver operating characteristics (ROC), accuracy, mean absolute error (MAE) and root mean square error (RMSE) were applied. Overall, all the gully erosion susceptibility models were performed as excellent. Integration of hybrid ensemble models with MLP has increase the accuracy of the MLP models. Among these models MLP-Dagging has achieved the highest accuracy in compare to the other models. The importance of the selected factors in the present study was assessed by the Relief-F method. The results show that the soil type factor has the highest predictive performance. Sensitivity analysis also showed soil type as most important factor. The gully erosion susceptibility maps (GESMs) are considered as the efficient tool which could be used to take the necessary steps for mitigating and controlling the soil erosion problem and sustainable environmental management and development.     

RS-GIS based morphometrical and geological multi-criteria approach to the landslide susceptibility mapping in Gish River Basin,West Bengal,India

Darjeeling Himalaya is one of the several mountainous areas of India which is often suffered from landslide hazards. In this paper, a multi criteria evaluation is applied using 16 morphometric indicators, geology and lineaments to identify the areas vulnerable in respect to drainage and relief conditions. As both drainage and relief parameters exert strong influences on landslide intensity, both the diversity maps are integrated for final landslide susceptibility mapping. The obtained results show that 20.17?sq.?km (7.61%) area within the basin is highly susceptible for landslides, where average drainage density is 3.78?km/sq.?km, relative relief is greater than 408?m and slope is greater than 12°. The validation result shows that very high landslide susceptible zone is associated with very high frequency of landslide occurrence. Beside this, ROC curve also suggests good predicted rate (86.60%) for the model. So, the proposed method can be applied for predicting landslide susceptible zone.     

Hot-cracking susceptibility and shear fracture behavior of dissimilar Ti6Al4V/AA6060 alloys in pulsed Nd:YAG laser welding

Laser welding of dissimilar titanium/aluminum alloys has been employed at an increasing rate, particularly in the aerospace industry, owing to its advantages in terms of current design flexibility and fuel/cost savings. The major problem with dissimilar Ti/Al welds arises from the difference in the thermal expansion and contraction of the two metals, which leads to hot-cracking susceptibility and the mitigation of the mechanical property after welding. In the present study, pulsed Nd:YAG laser welding of Ti6Al4V and AA6060 has been addressed. Hot-cracking susceptibility in the heat affected zone and the shear fracture behavior of the lap joints were investigated through microstructural characterization and mechanical tests. The results indicate that the hot cracking tendency can be reduced by increasing the pulse peak power (7.5–8.5 kW) and the laser point diameter (0.8–1.0 mm) with specific pulse duration and overlap. An alternative control strategy for less hot cracks in the Ti/Al lap joint can be to increase the weld width and decrease the cooling rate during solidification. The shear fracture of the Ti/Al lap joint is likely to occur along the lower side path of the weld interface with decreasing weld surface collapsed amount and increasing aluminum base metal melt depth.     

Prediction of landslides using ASTER imagery and data mining models

The aim of this study was to identify landslide-related factors using only remotely sensed data and to present landslide susceptibility maps using a geographic information system, data-mining models, an artificial neural network (ANN), and an adaptive neuro-fuzzy interface system (ANFIS). Landslide-related factors were identified in Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery. The slope, aspect, and curvature of topographic features were calculated from a digital elevation model that was made using the ASTER imagery. Lineaments, land-cover, and normalized difference vegetative index layers were also extracted from the imagery. Landslide-susceptible areas were analyzed and mapped based on occurrence factors using the ANN and ANFIS. The generalized bell-shaped built-in membership function of the ANFIS was applied to landslide susceptibility mapping. Analytical results were validated using landslide test location data. In the validation results, the ANN model showed 80.42% prediction accuracy and the ANFIS model showed 86.55% prediction accuracy. These results suggest that the ANFIS model has a better performance than does the ANN in predicting landslide susceptibility.     

基于序列二次规划的PIO易感性时域评估方法

时域Neal-Smith准则是评估PIO易感性比较理想的量化准则,但驾驶员的自适应特性给该准则的使用带来了困难。以某机型为算例,将序列二次规划算法应用于时域Neal-Smith准则,对其PIO易感性进行了评估。评估结果表明,将序列二次规划算法用于时域Neal-Smith准则来评估飞机的PIO易感性是可行的。     

铁磁试件应变损伤微结构蜕变的灵敏微分磁导率评价

为了精确检测和早期评价铁磁试件的应力集中状况和疲劳损伤程度,对灵敏微分磁导率检测技术进行了理论分析和试验研究。探讨了灵敏微分磁导率检测技术的基本原理和基本特征,研制搭建了灵敏微分磁导率检测的试验平台,对部分碳素钢结构材料的灵敏微分磁导率进行了测量,并采用测量低场磁化曲线的方法对碳素钢材料的灵敏微分磁导率进行了测量验证。理论证明了检测信号与微分磁导率成正比,试验发现20钢、35钢和235钢的灵敏微分磁导率即初始微分磁导率,并与振动样品磁强计低场磁化曲线的测量结果一致。对20钢,当拉应力接近断裂强度时,灵敏微分磁导率的变化量可达30%;对45钢,当拉应力接近断裂强度时,灵敏微分磁导率的变化量可达35%。可见,灵敏微分磁导率检测技术是一种新的高精度测量应力分布的检测方法,具有广阔的应用前景。     

双测试区GTEM室设计

吉赫兹横电波室(GTEM室)是一种重要的电磁兼容试验设备,与传统的开阔场及微波暗室相比,GTEM室具有场强大、能量利用率高等优点。本文设计了一个用于电磁辐射敏感度测试的GTEM室,有主、副两个测试区域,其工作频率为DC-4GHz,可产生超过400V/m的场强。     

舰载机发动机腐蚀敏感性试验

为验证某航空涡扇发动机抗腐蚀能力,基于腐蚀敏感性试车台,设计了盐雾发生系统,制定了试验方案,完成了航空涡扇发动机腐蚀敏感性试验。结果表明,试验系统设计合理,试验方法可行,可为其他发动机开展腐蚀敏感性试验提供借鉴。试验后发动机主要零部件和成附件未发现明显腐蚀痕迹,主要流道件表面有不同程度的盐雾结晶附着。试验后发动机在相同换算推力下换算排气温度上升约 5.5%,性能衰减幅度较大,建议其他发动机开展腐 蚀敏感性试验时进行流道清洗以恢复发动机性能。