吸气式飞行器进气道唇口三维激波/激波干扰

对吸气式飞行器进气道唇口处三维曲面激波/弓形激波干扰流场进行数值模拟,利用典型三维气动干扰试验对采用的数值计算方法进行验证。利用拼接网格技术及逆距离加权插值方法获得入口处流场的非守恒变量,作为激波干扰研究的入口边界条件。数值模拟表明,唇口处激波干扰流动的三维效应十分显著,曲面激波与弓形激波产生斜交,尽管唇口前缘半径很小,但Edney提出的6类激波干扰类型可能沿唇口展向方向同时存在;第Ⅲ和Ⅳ类激波/激波干扰的诱导使得唇口热流分布异常严酷;激波相交处形成斜向“伤疤”状局部高热流条带,峰值热流达到参考热流的4~6倍,可能引起唇口结构的局部烧蚀或破坏。      

压气机特性曲线精确分步拟合方法研究

针对压气机特性曲线分步拟合中坐标变换方法不明确的问题,提出先对压比进行坐标变换,坐标变换中的参数对折合转速进行拟合,之后折合流量或效率分两步对压比和折合转速进行拟合的改进方法。用多个指标对拟合结果进行了评估,给出了拟合阶次的选取方法。实例说明了改进方法的有效性,进一步说明了拟合中坐标变换的意义,以及第二步系数拟合中牛顿插值法和最小二乘法的适用情形。     

空间目标可见光相机的成像算法研究与分析

可见光相机可被应用于空间目标监测,其拍摄的图像具有高分辨率、高清晰度和高质量等优点。基于可见光探测器CMV4000获取Bayer格式数据的特点,采用了颜色插值和白平衡等方法,实现了彩色图像的重建。通过对比和分析多种插值方法,选取基于梯度的插值算法和灰度世界法用于工程实现色彩数据的重建。用彩色板等目标在实验室、暗室等场景下对算法进行仿真测试。结果表明：基于梯度的插值方法和白平衡法可以有效地恢复彩色图像,可以在空间环境中获取高质量的彩色图像。     

非均匀网格湍流大涡模拟高精度有限体积解法

为准确预测不可压复杂湍流,提出了一种可用于大涡模拟均匀或非均匀网格上的高精度有限体积法。该方法空间离散采用有限体四阶紧致格式,时间推进采用四阶Runge-Kutta法,压力-速度耦合应用四阶紧致格式的动量插值。通过直接求解顶盖驱动方腔流动证实了该方法具有近四阶的空间精度;并在此基础上,采用动态Smagor-insky亚格子应力模式,成功地实现了充分发展槽道湍流和后台阶湍流流动的大涡模拟计算,所得结果与直接数值模拟结果吻合良好,且采用非均匀网格可在比均匀网格数少的离散系统上得到同样满意的结果。结果表明,该方法是实现高精度湍流大涡数值模拟的一个有效途径。     

A compressing and saving method for structured grid data based on block construction

The increasing grid data in CFD simulation has brought some new difficulties and challenges, such as high storage cost, low transmission efficiency. In order to overcome these problems,a novel method for compressing and saving the structured grid are proposed. In the present method,the geometric coordinates of the six logical domains of one grid block is saved instead of all grid vertex coordinates to reduce the size of the structured grid file when the grid is compressed. And all grid vertex co...     

多防线要地防空体系目标拦截能力评估

应用排队论计算目标沿某方向进袭要地的突防概率。应用插值算法，使离散的各方向目标进袭要地的突防概率形成一条近似表达突防概率关于目标进袭方向的函数曲线，得出单一防线防空火力网拦截能力的数学描述，进而得出目标进袭多条防线的突防概率。仿真实验验证了该方法的可行性。     

一种基于试验数据的发动机特性曲线拟合

准确的发动机特性曲线是其性能计算的基础。文章讨论了多种情况的特性曲线插值方法:在工作点位置区间内,对小数据情况引入了新的插值方法；多数据时,采用三次样条插值方法进行插值；在工作点位置区间外,数据较多时,基于最小二乘法进行不同工作点的拟合；当工作点位置数据较少,利用新的插值方法在区间内引入虚拟工作点增加数据点,后按照数据较多的情况处理。所得结果与实际数值比较,精度较高,具有一定的参考价值。     

POBI interpolation algorithm for CYGNSS near real time flood detection research: A case study of extreme precipitation events in Henan,China in 2021

In late 2016, NASA launched the first constellation of the global navigation satellite system reflectometry (GNSS-R) small satellites called the Cyclone Global Navigation Satellite System (CYGNSS). The stable data quality and continuous free availability of CYGNSS scientific data provided a new method for flood monitoring. However, owing to the pseudorandom distribution of CYGNSS data, researchers must always choose between high temporal resolution and high spatial resolution during the performance of flood monitoring based on CYGNSS data. For floods caused by extreme precipitation with sudden and short durations, the current flood mapping based on CYGNSS data cannot be updated in near real time. However, the near real time update of the flood distribution range is meaningful for postdisaster emergency response and rapid rescue. This study aimed to address this problem using a newly proposed spatial interpolation method based on previously observed behaviour (POBI). First, a method for calculating the surface reflectivity of the CYGNSS was introduced, followed by the principle of the POBI spatial interpolation method. The applicability of the POBI method in Henan Province, China, was then analysed, and by using the flood in Henan Province, China, in July 2021 as an example, the feasibility of CYGNSS near real time flood mapping based on the POBI method was evaluated. Based on the results, near real time and 3 km flood distribution monitoring results can be obtained using the proposed new method. The results were evaluated using MODIS (Moderate Resolution Imaging Spectroradiometer) images and compared with the observations of SMAP (Soil Moisture Active Passive) and GPM (Global Precipitation Measurement) in the same period. The results show that the flooded areas obtained by CYGNSS correspond to the inundated areas in MODIS images and are also in high agreement with the SMAP. In addition, CYGNSS allows for finer mapping and quantification of inundation areas and flood duration. Moreover, we also discussed the potential of CYGNSS to detect floods in shorter periods of time (a few hours) and did a preliminary evaluation using precipitation data from meteorological stations. The results are also highly consistent.