基于突防任务的军机生存能力幂指数评估方法

军机生存能力是军机作战效能的重要指标,为定量化研究影响军机生存能力的相关因素,采用幂指数法与层次分析法相结合的方法构建军机生存能力评估模型,为解决军机生存能力指数评估问题提供了一种新的方法。     

数字化单兵系统作战效能评估

分析了新型数字化单兵系统的功能特点,建立了数字化单兵系统作战效能评估的指标体系,提出一致性排序法与模糊综合评价法相结合的评估方法,采用一致性排序法确定了指标权重,运用模糊综合评价理论对系统效能进行了评估,为数字化单兵系统的应用实践和功能改进提供了理论支持。     

不同射频对车载转管机枪射击精度的影响

为研究不同射频对车载转管机枪射击精度的影响,以某型车载转管机枪为对象,建立了该武器系统的刚柔耦合虚拟样机模型。通过仿真计算车体在制动状态时,机枪以不同射频进行射击的过程,得到了不同射频下车体、机枪架座和枪管的振动特性以及射弹散布。通过对不同射频下仿真曲线对比分析,可以得出射频对机枪射击精度的影响程度。仿真研究结果为该武器的研究与设计优化提供了理论支持。     

System reliability based on diffusion models for fatigue crack growth

Diffusion processes are commonly used to describe the dynamics of complex systems arising in a wide range of application fields. In this paper we propose, on the basis of diffusion processes, two models concerned with the stochastic behavior of fatigue cracks in a system. They are then used to get the distribution of the failure time, the first time the crack size of at least one of the cracks exceeds a given value. Several properties of our proposed models are presented, and the unknown parameters are estimated by the method of maximum likelihood. From these an estimate of failure time distribution is obtained. In this part, contrary to common practice, we do not assume availability of failure data. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

弹性地基上椭圆薄板自由振动的一个解析解

借助椭圆坐标变换,并利用微分算子分解给出了弹性地基上椭圆薄板的自由振动解.根据马休函数特性,并考虑模态的正交性,针对周边固定和周边滑动固定2种边界条件,求得了弹性地基上椭圆薄板固有频率和相应振型的解析表达式.     

一种能考虑动升力影响的高速艇迎浪纵向运动的数学模型

根据高速艇在静水及波浪中运动的特点,提出了高速艇迎浪纵向运动的基本假设,建立了能考虑动升力影响的高速艇迎浪纵向运动基本方程,并提出了高速艇迎浪纵向运动预报的一种新方法(滑航法),编制了理论预报程序,进行了模型试验验证研究.结果表明,中高航速时,滑航法可用于高速艇迎浪纵向运动的预报.     

粗振子天线的性能研究

利用矩量法的粗振子模型分析了粗振子天线,并分别对长度为500 mm,半径各为1 mm、5 mm、10 mm、50 mm的对称振子进行计算,通过计算结果的比较得出了振子的粗细对天线性能的影响.实用中可以根据对天线性能的要求,选择合适粗细的对称振子天线.     

备品备件需求确定方法探讨

分析了备品备件需求确定的重要性,探讨了结合现有的国家军用标准进行备品备件需求确定的程序与方法,对现有方法存在的问题进行了分析并提出了建议.     

Comparison of rank aggregation methods based on inherent ability

Ranking is a common task for selecting and evaluating alternatives. In the past few decades, combining rankings results from various sources into a consensus ranking has become an increasingly active research topic. In this study, we focus on the evaluation of rank aggregation methods. We first develop an experimental data generation method, which can provide ground truth ranking for alternatives based on their “inherent ability.” This experimental data generation method can generate the required individual synthetic rankings with adjustable accuracy and length. We propose characterizing the effectiveness of rank aggregation methods by calculating the Kendall tau distance between the aggregated ranking and the ground truth ranking. We then compare four classical rank aggregation methods and present some useful findings on the relative performances of the four methods. The results reveal that both the accuracy and length of individual rankings have a remarkable effect on the comparison results between rank aggregation methods. Our methods and results may be helpful to both researchers and decision‐makers.     

Satellite constellation design for forest fire monitoring via a stochastic programing approach

There is significant value in the data collected by satellites during and after a natural disaster. The current operating paradigm in practice is for satellites to passively collect data when they happen to fly over a disaster location. Conversely, this article considers the alternative approach of actively maneuvering satellites to fly directly overhead of the disaster site on a routine basis. Toward this end, we seek to compute a satellite constellation design that minimizes the expected maneuver costs for monitoring an unknown forest fire. In this article, we present a 2‐stage stochastic programing model for this problem as well as a accelerated L‐shaped decomposition approach. A comparison between our approach and the current operating paradigm indicates that our solution provides longer duration data collections and a greater number of data collections. Analysis also shows that our proposed solution is robust over a wide array of scenarios.