跨流区超低轨航天器快速气动力计算方法

超低轨飞行器常工作在过渡流区中,过渡流区中气动特性多变,建模困难,目前缺少较好的快速气动力计算方法。在面元法的基础上,提出了设计迎风单元筛选算法与logistics-log桥函数,对连续流区与自由流区结果进行加权,实现超低轨卫星的气动力估算。在方法验证中,对圆柱与钝头双楔体在宽努森数(Kn)范围下的气动力进行测算,发现结果与直接模拟蒙特卡洛法(DSMC)数据一致。对典型超低轨飞行器地球重力场和海洋环流探测卫星(GOCE)的气动力进行分析,发现GOCE随着姿态变化阻力变化明显,需要舵面或陀螺仪进行姿态控制;在不同高度下的阻力量级变化大,在超低轨运行时需要动力系统维持高度。     

壁面喷流可控环量机翼的数值计算

本文提出一种适用于可控环量机翼研究的势流/粘性流的数值解法,包括钝体分离绕流的一种势流解,以及改进的Spalding统一边界层理论的解。通过对具有壁面切向喷流可控环量圆柱绕流和类椭圆翼绕流所作出的数值计算表明,在其计算模型确定后,就不必依赖实验数据来模拟实际问题,计算结果与实验数据符合较好。     

物流--实现电子商务的桥梁

通过分析电子商务物流的产生与发展历程，结合国外电子商务物流的现状和我国目前物流模式存在的问题，提出完善我国物流体系建设的一些建议。     

我国上市公司融资抉择实证研究

文章借助二分响应逻辑斯蒂线性概率模型(DRLLPM),对影响我国上市公司融资抉择的因素进行了实证研究.结论是:1.就我国上市公司融资抉择而言,规模因素和盈利能力有显著影响;股票流通度与股权集中度有不稳定的显著影响;而行业因素仅在少数行业中有显著影响;抵押资产和成长性两因素则没有影响.2.就影响因素的影响方向而言,规模因素倾向于选择债务融资,盈利能力、股票流通度与股权集中度三因素则倾向于选择非债务融资.3.我国大多数上市公司的融资决策行为可用融资工具选择理论的最优财务结构解释.     

基于主动流动控制技术的无舵面飞翼布局飞行器姿态控制

飞翼布局飞行器因其升阻比高、隐身性能好等诸多优势得到越来越广泛的应用，但是操纵舵面偏转会增加飞行器的雷达散射截面积。提出了采用射流环量控制和反向射流两种主动流动控制技术实现飞行器的无舵面飞行姿态控制。利用风洞测力试验对射流环量控制和反向射流的"舵效"进行了分析，结果表明环量控制技术能产生规律变化且可控的滚转和俯仰力矩、反向射流产生的偏航力矩随控制信号规律变化。飞行试验记录了飞行器姿态随射流激励器控制信号的变化规律，飞行数据表明俯仰环量控制激励器能有效地控制无人机的俯仰运动；无人机的横航向操纵存在耦合，但滚转环量控制激励器和反向射流能控制无人机的滚转和偏航运动。     

An improved,near real time water vapor path delay correction of Cryosat-2 sea surface height measurements

This paper presents improvements of a method (Stum et al., 2011) aimed at computing the water vapor path delay correction of altimeter sea surface height, using total precipitable water measurements from scanning microwave radiometers. The main interest of this improved method is for the Cryosat-2 mission over the ocean. Focus is made on the applicability of the method in near real time. An experiment to produce an operational path delay correction for Jason-2 and Cryosat-2 Interim Geophysical Data Records (IGDR) has been set up. Results confirm that the new correction, although less accurate than the one attainable with an embarked radiometer, improves the Cryosat-2 sea surface height accuracy.     

固体发动机钢制件在海洋环境下的防腐研究

对局部表面等离子喷涂氧化锆的固体火箭发动机钢质金属件在海洋环境（高热、高湿、含盐雾）的防腐方法进行了研究。筛选了喷管扩张段的防腐材料及工艺，进行了模拟海洋环境条件下的试验比较及热试车考核，推荐了一种实用、简便而有效的防腐方法，即在氧化锆喷涂层表面涂覆８２３涂料作为封闭剂，其余表面镀镉。     

基于变结构多模型的SINS/DVL组合导航算法

对于无人水下航行器来说,SINS/DVL组合导航是其主要导航方式,由于DVL自身作用距离的限制,虽然它可以在水跟踪模式下工作,但洋流速度作为其测量误差会导致SINS/DVL组合导航性能下降甚至失败.针对上述问题,基于有向图切换方法,设置洋流速度模型群,利用所设置的模型群切换策略对子模型群进行激活和终止,通过变结构多模型...     

Robust extension of the simple sea-surface irradiance model to handle cloudy conditions for the global ocean using satellite remote sensing data

Sea-surface solar radiation (abbreviated as photosynthetically available radiation, PAR) in the visible wavelength (400–700 nm) is an essential parameter to estimate marine primary productivity and understanding phytoplankton dynamics, upper ocean physics and biogeochemical processes. Although many remote-sensing models were developed to estimate daily PAR (DPAR) from ocean colour data, these models often produce biases in the DPAR products under cloudy-sky and complex atmospheric conditions due to the lack of parameterization to deal with the cloud cover conditions and insufficient in-situ DPAR data. This study presents an Extended Sea-surface Solar Irradiance Model (ESSIM) for estimating DPAR over the global ocean. The ESSIM uses the direct and diffuse components from the Simple sea-surface Solar Irradiance Model (SSIM) along with a new parameter to handle cloudy conditions. The ESSIM produced DPAR products with greater accuracy under both clear and cloudy conditions. Its performance was tested on the time-series MODIS-Aqua images and compared with the concurrent in-situ data and the results from two global models. Results showed that the DPAR values produced by ESSIM agree with in-situ data better than the global models for all-sky conditions (with a mean relative error of 11.267 %; a root mean square error of 5.563 Em^?2day^?1; and a mean net bias of 2.917 Em^?2day^?1). The ESSIM performed slightly better than the SSIM for clear conditions and the Frouin's Operational Algorithm (FOA) for all-sky conditions. As the new parameterization accounts for cloudy conditions, the ESSIM produced more accurate results for cloud cover conditions across latitudes (up to 60°). The time-series Level-3 binned MODIS-Aqua data (global gridded) also demonstrated that the ESSIM improved the accuracy of DPAR products and produced spatially and temporally consistent DPAR products over the global ocean regardless of the seasons and sky conditions.