Production of neutrons from interactions of GCR-like particles

In order to help assess the risk to astronauts due to the long-term exposure to the natural radiation environment in space, an understanding of how the primary radiation field is changed when passing through shielding and tissue materials must be obtained. One important aspect of the change in the primary radiation field after passing through shielding materials is the production of secondary particles from the breakup of the primary. Neutrons are an important component of the secondary particle field due to their relatively high biological weighting factors, and due to their relative abundance, especially behind thick shielding scenarios. Because of the complexity of the problem, the estimation of the risk from exposure to the secondary neutron field must be handled using calculational techniques. However, those calculations will need an extensive set of neutron cross section and thicktarget neutron yield data in order to make an accurate assessment of the risk. In this paper we briefly survey the existing neutron-production data sets that are applicable to the space radiation transport problem, and we point out how neutron production from protons is different than neutron production from heavy ions. We also make comparisons of one the heavy-ion data sets with Boltzmann-Uehling-Uhlenbeck (BUU) calculations.     

The Mawrth Vallis region of Mars: A potential landing site for the Mars Science Laboratory (MSL) mission

The primary objective of NASA's Mars Science Laboratory (MSL) mission, which will launch in 2011, is to characterize the habitability of a site on Mars through detailed analyses of the composition and geological context of surface materials. Within the framework of established mission goals, we have evaluated the value of a possible landing site in the Mawrth Vallis region of Mars that is targeted directly on some of the most geologically and astrobiologically enticing materials in the Solar System. The area around Mawrth Vallis contains a vast (>1?×?10? km2) deposit of phyllosilicate-rich, ancient, layered rocks. A thick (>150?m) stratigraphic section that exhibits spectral evidence for nontronite, montmorillonite, amorphous silica, kaolinite, saponite, other smectite clay minerals, ferrous mica, and sulfate minerals indicates a rich geological history that may have included multiple aqueous environments. Because phyllosilicates are strong indicators of ancient aqueous activity, and the preservation potential of biosignatures within sedimentary clay deposits is high, martian phyllosilicate deposits are desirable astrobiological targets. The proposed MSL landing site at Mawrth Vallis is located directly on the largest and most phyllosilicate-rich deposit on Mars and is therefore an excellent place to explore for evidence of life or habitability.     

Structural health management technologies for inflatable/deployable structures: Integrating sensing and self-healing

Inflatable/deployable structures are under consideration as habitats for future Lunar surface science operations. The use of non-traditional structural materials combined with the need to maintain a safe working environment for extended periods in a harsh environment has led to the consideration of an integrated structural health management system for future habitats, to ensure their integrity. This article describes recent efforts to develop prototype sensing technologies and new self-healing materials that address the unique requirements of habitats comprised mainly of soft goods. A new approach to detecting impact damage is discussed, using addressable flexible capacitive sensing elements and thin film electronics in a matrixed array. Also, the use of passive wireless sensor tags for distributed sensing is discussed, wherein the need for on-board power through batteries or hardwired interconnects is eliminated. Finally, the development of a novel, microencapuslated self-healing elastomer with applications for inflatable/deployable habitats is reviewed.     

组合式三相逆变器负载特性的分析与研究

分析了组合式三相逆变器,该逆变器三相分别独立控制,易实现功率器件的软开关、无输出变压器的三相四线制输出和模块化的结构;具体分析了影响该三相逆变器输出电压不平衡度的因素,讨论了其带对称与不对称负载的特性,着重分析了不对称负载对每个单相逆变器的影响,得到了组合式三相逆变器中单模块设计与普通单相逆变器的不同点,并给出了实验数据和相应波形。实验结果表明,组合式三相逆变器具有良好的带不平衡负载的能力和优良的电气性能。     

SOM人工神经网络在客机零部件故障诊断中的应用研究

现代客机在使用过程中不可避免地会发生各种故障,故障诊断对保证飞行安全十分重要,本文将基于概率的数学方法与专家经验相结合对其进行故障诊断。Kohonen的自组织特征映射（Self-organizing map,SOM）人工神经网络在输出上可反映出输入学习样本的概率密度分布,且无需知道样本的概率分布的先验知识,兼具函数逼近功能。本文将SOM引入这一领域,用于计算飞机零部件发生故障的概率,以及实现数学方法计算结果与专家经验的结合,实际应用说明了该方法的可行性。     

基于聚束照射SAR成像算法的条带SAR数据处理

为实现聚束照射合成孔径雷达（SAR）与条带模式SAR成像算法上的统一,本文利用两种模式之间的内在联系,将条带模式SAR数据分块处理,等效成聚束模式数据。然后,用聚束照射SAR成像算法实现条带数据的成像处理。针对具体数据,文中还对成像区大小的选择作了分析,并推导出成像长度与滤波器带宽应当满足的关系式。包场数据的处理严格证实了理论分析并验证了本文运用的方法。     

惩罚函数法在发动机性能计算中的应用

按照涡喷发动机工作时遵守的气动热力学定律,建立了发动机的稳定数学模型,并针对双轴涡轮发动机性能计算的非线性数学模型,利用优化和最优控制理论中的惩罚函数法,对发动机性能进行了基于约束的最优求解程序设计,利用程序对某型发动机的稳定飞行特性进行了计算,计算结果表明,使用惩罚函数法求出的特性曲线变化规律正确,发动机平衡方程的解的精度更高,在此基础上得出的发动机飞行特性也更准确。另外惩罚函数法对初值的要求很低,迭代运算不易发散。