Multi-objective design optimization of the transverse gaseous jet in supersonic flows

The mixing process between the injectant and the supersonic crossflow is one of the important issues for the design of the scramjet engine, and the efficiency mixing has a great impact on the improvement of the combustion efficiency. A hovering vortex is formed between the separation region and the barrel shock wave, and this may be induced by the large negative density gradient. The separation region provides a good mixing area for the injectant and the subsonic boundary layer. In the current study, the transverse injection flow field with a freestream Mach number of 3.5 has been optimized by the non-dominated sorting genetic algorithm (NSGA II) coupled with the Kriging surrogate model; and the variance analysis method and the extreme difference analysis method have been employed to evaluate the values of the objective functions. The obtained results show that the jet-to-crossflow pressure ratio is the most important design variable for the transverse injection flow field, and the injectant molecular weight and the slot width should be considered for the mixing process between the injectant and the supersonic crossflow. There exists an optimal penetration height for the mixing efficiency, and its value is about 14.3 mm in the range considered in the current study. The larger penetration height provides a larger total pressure loss, and there must be a tradeoff between these two objection functions. In addition, this study demonstrates that the multi-objective design optimization method with the data mining technique can be used efficiently to explore the relationship between the design variables and the objective functions.     

Longitude-dependent effects of fragmentation events in the geosynchronous orbit regime

The effects of on-orbit fragmentation events on localized debris congestion in each of the longitude slots of the geosynchronous orbit (GEO) regime are evaluated by simulating explosions and collisions of uncontrolled rocket bodies in multiple orbit configurations, including libration about one or both of the gravitational wells located at 75°E and 105°W. Fragmentation distributions are generated with the NASA Standard Breakup Model, which samples fragment area-to-mass ratio and delta-velocity as a function of effective diameter. Simulation results indicate that the long-term severity and consequence of a GEO fragmentation event is strongly dependent upon parent body longitude at the epoch of fragmentation, which can spawn bi-annual “fragment storms” in high-risk longitude slots, driven by lower-energy fragments that have been captured and have started librating around the nearby gravitational well.     

航空网络关键节点辨识的核极限学习机算法研究

通过技术手段准确识别航空网络的关键节点,对航空网络平时的正常运行以及战时的防御和修复,具有重要的理论意义和参考价值。提出一种基于核极限学习机的航空网络关键节点识别方法,首先,采用层次分析法对节点综合重要度进行评估;然后,选取三个简单指标,基于核极限学习机学习简单指标与综合重要度之间的映射关系,建立重要度评估模型;最后,以中美两国航空网络为例进行仿真。结果表明:仅需计算 40 个节点的复杂指标值,就可对关键节点取得较满意的辨识效果,降低了计算复杂度,提高了辨识效率,即采用本文方法辨识航空网络的关键节点是有效、可行的。     

含共因事件航天系统的通用动态故障树方法

为了表示航天复杂系统中组件依赖关系和输入次序等动态事件与共因事件,动态故障树的求解过程通常会面临很高的计算复杂度与时间开销。基于系统定义假设,由基本事件的概率分布入手,根据动态门的时序逻辑定义和关联方式,给出系统故障事件的准确通用计算方法GDFTA (Generic Dynamic Fault Tree Algorithm)。GDFTA方法实现了通用的动态树求解,避免了Markov方法的状态空间爆炸问题,并取得了较理想的计算准确性。通过对动态树实例的可靠性评估证明该方法可行。在标准动态故障树测试集中,四类不同系统的可靠性结果精度优于Monte Carlo方法,计算效率也有显著提高。     

单圈分子图的第一广义Zagreb指标的极值

第一广义Zagreb指标定义为0Rα（G）=∑i∈V（G）d（i）α,其中d（i）为i顶点的度,α为除0和1之外的所有实数。单圈分子图是指最大度不超过4且边数等于顶点数的简单连通图。本文通过一个引理,给出了单圈分子图的第一广义Zagreb指标达到极值的必要条件。     

主导概率数据关联及算法

本文给出主导概率数据关联（ＤＰＤＡ）及算法，定义主导联合事件和主导概率，考虑实际目标环境可行联合事件出现为非等概率，导出主导概率数据关联计算方法，它无需计算所有行联合事件的联合率，从而克服了联合概率数据关联（ＪＰＤＡ）的组合问题，本文证明了ＤＰＤＡ性能上限不低于ＪＰＤＡ，下限低于ＰＤＡ，而下限出现的概率极小。本文给出了ＭｏｎｔｅＣａｒｌｏ仿真表明ＤＰＤＡ算法具有很好的性能和较高的实用价值。     

TC-1和Cluster对向阳侧磁层顶通量传输事件的联合观测研究

2004年2至4月期间,探测一号(TC-1)卫星和Cluster卫星有25次同时处在向阳侧磁层顶附近的磁鞘内,TC-1卫星在低纬区,Cluster卫星在中高纬区.利用这一期间两卫星探测到的27个通量传输事件(FTE),分析行星际磁场(IMF)横向分量BT={By,Bz}对磁层顶重联发生位置的影响,以及分量重联的观测事实,得到如下主要结果.(1)当IMF南向分量Bz占优势(|Bz|＞|By|)时,FTE大多(约占87.5%)能在低纬观测到,而当IMF By分量占优势(|Bz|＜|By|)时,则FTE大部分能在中高纬观测到(占84.2%);(2)很少观测到相关联的事件(关联事件指在低纬生成的FTE,向高纬运动中先后被TC-1卫星和Cluster卫星探测到的事件),表明在低纬形成的FTE可能大多沿磁层顶两侧滑向磁尾,只有少数可能运动到高纬地区;(3)中纬地区探测到的FTE大多是以分量重联方式产生于该区,而非来自磁赤道附近成对形成的FTE.      

Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and State-Of-The-Art ensemble learning algorithms

Forest resources are the primary components of the ecosystem environment. Poplars (Populus sp.), a member of the fast-growing trees, are one of the most productive forest tree species for industrial production thanks to their desirable traits comprising rapid growth, hybridization ability, and ease of propagation. Determining poplar cultivated areas and mapping their geographical distributions is critical for planners and decision-makers to increase the ecological and economic benefits of poplar trees. Due to the biodiversity of each geographical region and seasonal vegetation variations, classification based on remotely sensed imagery is essential for cropland monitoring. The main goal of this study is to evaluate the potential of high-resolution multi-temporal (growing season and end of the growing season) Worldview-3 imagery in mapping poplar plantations in the Akyaz? district of Sakarya, Turkey. For this purpose, pixel- and object-based image analysis with up-to-date ensemble learning algorithms, namely random forest (RF), categorical boosting (CB), and extreme gradient boosting tree (XGB), were employed for mapping poplar fields. Results indicated that the object-based classification approach provided statistically significant improvements in map-level (about 4%) and class-level accuracy (e.g., approximately 7% and %2 for poplar and young poplar classes, respectively) than pixel-based classification. While the CB performed superior classification performance for the object-based approach (92.56%), the highest classification performance was obtained with the XGB algorithm for the pixel-based approach (90.42%) for the end of the growing season data. McNemar’s statistical test also confirmed that the performances of CB and XGB algorithms were statistically similar in pixel-based classification. Finally, analysis of multi-season images revealed that sensitivity of the vegetation phenology and seasonal effects considerably affect the separability of poplar tree species.     

功能型复合材料在深空探测任务中的应用研究进展

分析了深空航天器面临的复杂空间环境以及对航天用功能型复合材料的需求,系统综述了耐高低温、抗宇宙射线、电磁屏蔽等深空探测环境用功能型复合材料的研究进展,最后,展望了功能型复合材料在深空探测领域中的潜在应用。