航天运载器力学环境工程技术发展回顾及展望

近50年来,航天科技工作者对运载器发射飞行过程中的力学环境的认识逐步深入,带动了相关基础理论、预示方法、分析工具、试验技术和试验设备的不断发展。随着航天技术的快速发展,对运载器等的设计要求越来越高,火箭经受的力学环境也越来越恶劣,火箭力学环境预示与试验技术研究的迫切性日益突出。文章综合分析了力学环境预示与试验技术领域的研究发展状况,重点总结了北京强度环境研究所50年来为解决航天工程中的诸多力学环境问题所做的具体工作。最后,结合新时期航天项目的工程需求,提出了今后在航天运载器力学环境预示与试验技术研究领域的主要研究方向。     

Learning relative directions between landmarks in a desktop virtual environment

This study presents two experiments that examine howindividuals learn relative directions betweenlandmarks in a desktop virtual environment. Subjectswere presented snapshot images of different virtualenvironments containing distinguishing landmarks anda road network. Following the presentation of eachvirtual environment, subjects were given a relativedirection test. The relative direction test involvedindicating the direction of hidden landmarks fromdifferent vantage points in the environment. Half ofthese vantage points were presented during thelearning phase, while the other half were novel.Results showed that subjects learned relativedirections between landmarks equally well when sceneswere presented in either a sequential or random order.Furthermore, viewing a configuration of landmarks ina desktop virtual environment from multipleperspectives produced a viewpoint dependentrepresentation in memory. Subjects had significantlygreater response times for new viewing perspectives,as compared to previously viewed scenes. Thisviewpoint dependent representation of the environmentpersisted despite learning under conditions ofspatio-temporal discontinuity and changes to anenvironmental frame of reference.     

1200℃高温环境下板结构热模态试验研究与数值模拟

高超声速飞行器高马赫数飞行时,翼、舵及垂尾等板形姿态控制结构将会面临极为严酷的高温环境,为了获得难于实测的结构在高温与振动复合环境下的热模态参数,本文将瞬态气动热试验模拟系统与振动试验系统相结合,建立了高温热/振联合试验测试系统,实现了高达1200℃热环境下矩形板结构的模态频率等关键振动参数的试验测试。同时,对矩形板结构的热模态特性进行了数值计算,并将试验结果与计算结果进行对比验证。试验中通过自行研制的耐高温陶瓷导杆引伸装置将结构上的振动信号传递至高温热场之外,使用常温加速度传感器对振动信号进行参数识别;并运用时-频联合分析技术对试验数据进行分析处理。本文所获得的高温环境(200~1100℃)下矩形板结构的模态频率的试验结果与数值计算结果取得了比较好的一致性,验证了本试验方法的可信性及可用性。本研究结果为高超声速飞行器翼舵结构在高温环境下的振动特性分析以及安全可靠性设计提供了重要的试验手段和参考依据。     

A study of the plasmasphere density distribution using computed tomography methods from the EUV radiation data

In this paper, we introduce a new topic for imaging plasmasphere density with CT techniques. Both parallel-beam and fan-beam reconstruction formulas are derived with a special weighting function. Different from the traditional X-ray CT, the extreme ultraviolet (EUV) radiation may be totally absorbed by the Earth. Only the portion between the Earth and the detector enters the EUV sensor and be measured. The key step in our derivation is to remove the complete absorption effect with a specific weighting function. Computer-simulation studies are present to verify our formulas for the plasmasphere density.     

球形轨道分子屏极高真空系统的抽气方程

地面真空系统中,气体处于封闭的真空容器内,达到平衡状态时,压力 P 与抽速 S 的关系是:P=OIS;轨道分子屏极高真空系统是开放的(或者说具有部分真空容器),相应的抽气方程应该是怎样的形式呢?文章提出了一个物理模型,推导出了球形轨道分子屏极高真空系统的抽气方程。     

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.     

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。     

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。     

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.     

未知动态环境下有人/无人机协同搜救研究

针对未知动态环境下搜救效率和智能化水平不高的问题，提出了一种基于变步长模型预测控制的有人机/无人机协同搜救方式。根据环境的动态变化性和探测的不确定性，建立了表示环境确定度和目标探测概率的动态搜救图模型，根据态势信息选择时间域步长，并根据有人机/无人机协同搜救任务特点，设计了搜救收益指标，并利用粒子群优化进行求解。仿真结果表明了本文方法的有效性和优越性。