Drag coefficient modeling for grace using Direct Simulation Monte Carlo

Drag coefficient is a major source of uncertainty in predicting the orbit of a satellite in low Earth orbit (LEO). Computational methods like the Test Particle Monte Carlo (TPMC) and Direct Simulation Monte Carlo (DSMC) are important tools in accurately computing physical drag coefficients. However, the methods are computationally expensive and cannot be employed real time. Therefore, modeling of the physical drag coefficient is required. This work presents a technique of developing parameterized drag coefficients models using the DSMC method. The technique is validated by developing a model for the Gravity Recovery and Climate Experiment (GRACE) satellite. Results show that drag coefficients computed using the developed model for GRACE agree to within 1% with those computed using DSMC.     

基于SFEM的结构元件疲劳可靠性分析

将结构元件的弹性模量、泊松比、几何尺寸定义为随机场,并将随机场离散成随机变量,将抗拉强度定义为随机变量,采用Monte Carlo随机有限元法(MCSFEM),给出了元件危险点应力的随机分布。由危险点应力分布、材料的p-S-N曲线和Miner理论给出了概率名义应力法,计算常幅载荷下元件的寿命分布,并利用剩余寿命模型计算元件的可靠度。给出了两个算例,结果表明:计算结果与试验结果吻合良好。     

固体推进剂药柱的近似不可压缩粘弹性随机有限元

采用Monte-Carlo粘弹性随机有限元法,分析了药柱的结构可靠度。针对固体火箭发动机药柱材料近似不可压缩的问题,基于Herrmann粘弹性有限元以提高计算的精度,考虑泊松比和松弛模量的随机性,采用拉丁超立方(LHS)技术计算了固体火箭发动机药柱结构的可靠度。算例表明该方法的有效性。     

基于蒙特卡洛树搜索的机载雷达编队策略优化

多机雷达协同探测是飞机协同作战研究的重要内容,编队策略影响着多机雷达协同探测的探测效能针对机载雷达编队策略的优化,基于部分可观察马尔可夫决策过程(POMDP)模型描述了编队策略优化问题,提出了一种基于蒙特卡洛树搜索(MCTS)的最优策略求解方法。以对敌方目标的探测性能为指标,将该方法与多种其他编队方法的结果进行了比较。试验结果表明,该方法很好地平衡了 MCTS 中利用与探索的关系,可以在规模较大的搜索空间内有效完成编队策略优化,在编队探测能力提升方面展示出了比其它方法更加优越的性能。     

基于动态故障树的卫星可靠性分析

针对卫星系统的可靠性问题,提出了一种基于动态故障树的卫星可靠性分析方法。采用马尔可夫链和二元决策图相结合的分析方法,建立卫星的电源、姿轨控和推进3个分系统的动态故障树模型,在此基础上得到卫星的随机故障模型,并综合考虑损耗故障建立卫星可靠性模型。利用蒙特卡洛仿真对随机故障模型进行评估分析,并将其与Weibull分布模型进行性能比较,仿真结果表明该方法能够有效分析卫星的随机故障,具有计算精度高、效率高的优点,并能更有效地模拟卫星部件随机故障的动态行为。     

太阳X射线暴在地球大气中传输的Monte Carlo模拟

应用MonteCarlo方法对太阳X射线暴(1-8Å及0.5-4Å)与地球大气相互作用过程进行跟踪模拟,得到了X射线暴在电离层D层产生的电子产生率,并计算了由此产生的宇宙噪声吸收值。结果与作者在南极观测得到的X射线暴期间宇宙噪声吸收值符合较好.     

Slip boundary conditions for rough surfaces

The velocity slip and temperature jump for a two-dimensional rough plate under hypersonic conditions were analyzed using the Direct Simulation Monte Carlo (DSMC) method. Surface roughness was explicitly modeled by introducing various structures on the flat plate. The influences of relative roughness height, which involves the roughness height, roughness spacing, incoming velocity, and the degree of rarefaction, were analyzed and discussed. It is found that with the increase of the relative roughness height, the jump temperature increases, while the slip velocity decreases gradually. The effects of surface roughness on the slip coefficients can be attributed to the change of accommodation coefficients. A new slip model for rough surfaces was established in this paper, which accounts for the coupling effects of gas rarefaction and surface roughness, without the effort to model the surface roughness explicitly. The nitrogen flows in the microchannel, and flows over a blunt cone and an axisymmetric bi-conic body, were simulated under the modified and conventional slip boundary conditions, respectively. The numerical solutions were validated with experimental data. It can be safely concluded that compared with the traditional first-order slip boundary conditions, the modified slip model improves the accuracy of macroscopic properties, especially the heat transfer coefficient.     

一种基于双重空间网格结合的高效DSMC实现方法

基于双重空间网格结合策略，发展了一种高效率的贴体DSMC（direct simulation Monte Carlo）方法。通过将仿真分子在物理空间结构网格的位置坐标映射于计算空间的直角网格中，并在计算空间中完成分子所属网格单元的定位以及分子与边界是否发生作用的判断，从而结合结构网格的贴体性和直角网格的高效率计算的优点，提高DSMC方法的贴体性和计算效率。基于双重空间网格结合策略，通过直接映射和间接映射法分别建立DSMC程序，对微尺度收缩扩张喷管气体流动和超声速圆柱绕流进行模拟。数值结果表明：两种方法均很好地模拟出微喷管因尺度缩小导致的黏性效应和速度滑移现象以及超声速圆柱绕流发生的激波现象，具备有效性。与传统结构网格方法对比，两种方法的计算效率平均分别提高了3.85倍和2.85倍，具备高效性。     

超视距空战条件下舰载机空中巡逻研究

根据超视距空战条件下舰载机空中巡逻的特点,建立舰载机空中巡逻的战术行为模型；采用蒙特卡洛法对巡逻效果进行模拟统计,分析雷达最远发现距离、巡逻区间距、舰载机定常平飞距离、巡逻飞行航线类型与飞行协同方式对舰载机空中巡逻效果的影响；最终给出超视距协同空战条件下,舰载机空中巡逻的组织方法。     

Passive attitude stabilization of ionic-wind-powered micro air vehicles

The ionic-wind-powered Micro Air Vehicles (MAVs) can achieve a higher thrust-to-weight ratio than other MAVs. However, this kind of MAV has not yet achieved controlled flight because of the unstable thrust produced by the ionic wind and the dynamic instability related to the small size. In this paper, a passive attitude stabilization method of the ionic-wind-powered MAV using air dampers is introduced. The key factors that influence the performance of the air dampers, including the layout, position, and area of the air dampers, are theoretically studied. The appropriate optimal position of the air dampers is also obtained by Monte Carlo stochastic simulations. Then the proposed passive attitude stabilization method is applied to the ionic-wind-powered MAVs of different wingspan (2 cm and 6.3 cm). Finally, the experimental results show that using the proposed method, attitude stabilization is achieved for the first time for the ionic-wind-powered MAV. Moreover, the altitude control of an ionic-wind-powered MAV with a wingspan of 6.3 cm is also demonstrated.