超音速燃烧室燃烧效率数学模型及气流状态参数的计算

本文分析及提出了超音速燃烧冲压发动机燃烧室燃烧效率的数学模型.该模型综合了氢气喷射方式、燃烧室进口气流参数以及燃烧室结构的影响因素.用这一数学模型求解一组一元流方程.计算出通过燃烧室的气流状态参数,计算结果与试验数据对比,证明这个模型是适用的.     

目标电磁散射特性的混合法研究

从Ｓｔｒａｔｔｏｎ－Ｃｈｕ公式出发，利用阻抗边界条件，得出阻抗边界条件积分方程，将目标表面分成不同的区域，有些区域用高频解析方法求出其表面电流，有些区域利用矩量法解阻抗边界条件积分方程得表面电流。本文以橄榄体（包括介质涂敷情形）为例，计算其电磁散射特性，混合法计算结果与实测结果或其他方法的计算结果比较吻合。     

一类二维样条插值函数的最佳误差估计

本文主要结果为下述定理。 定理:设x(uw)是矩形域上关于该矩形上均匀分割的二维双三次样条插值函数,且x(uw)满足条件(5),则x(uw)在矩形域R边界上的节点处的四阶混合偏导数有估计式: |S_(i,0)|≦|A[i,n—1]||ε_(n,0)| |B[i,n—2]||ε_(0,0)|=[0,-4,(-1)~2 4,…(-1)~i 4]/[0,-4,(-1)~2…(-1)~n 4]|ε_(n,0)| sum from h=i to n-2 (-1)~(k(k-2)-(i 1)(i-2))[0,-4,(-j)~2 4…(-1)~i 4]/[0,-4,(-1)~2 4,…(-1)~(k 1) 4][0,-4,(-1)~2 4,…,(-1)~(k 2)4] (-1)~(i(i 1)/2)/[0,-4,(-1)~2 4,…(-1)~n 4]|ε_(0,0)|其中等号成立的条件分别为: A[i,n—1] B[i,n—2] ε_(n0),ε_(00)>0 A[i,n—1] B[i,n—2] ε_(nm),ε_(0m)>0 其中 i=1,2,…,n—1. j=1,2 …,m—1.     

确定风洞模型压力中心的变距测力试验

本文提出了采用变换模型相对天平校准中心位置来测得同一状态下的不同俯仰力矩值,再通过数学处理或作图获得小攻角下的精确压力中心位置的试验方法。某型号用本方法试验得到了令人满意的结果。     

应用扩展连续算法研究推力矢量飞机动力学特性

应用扩展的分支和连续算法对推力矢量控制飞机的飞行运动力学特性进行了研究。与标准的分支和连续算法不同，扩展后的分支和连续算法可用于计算飞机特定配平状态的连续曲线，所以不仅能获得飞行性能指标，同时可确定飞机的稳定性。本中扩展分支和连续算法被用于检验推力矢量控制律的有效性，确定了飞行包线边界，分析了配平飞行的稳定性的操纵性以及预测飞行偏离。结果表明，扩展连续方法可获得大量的飞行动力学信息，在推力矢量控制飞机的初步设计中具有广泛的应用前景。     

考虑凝固收缩作用的凝固过程及其液相流动的有限元计算模型

当要考虑凝固收缩作用所带来的密度变化时，至今所得出的凝固过程及其液相流动数学模型在应用有限元方法进行计算机模拟时有困难。通过建立Ａ变量及与速度的关系，提出了以固液两相区微元体守恒性分析为基础，建立了质量、动量、能量方程式。     

液体推进剂空间发动机系统对质心漂移的影响

研究了挤压式液体推进剂空间发动机系统布局对空间飞行器质心漂移的影响，提出了质心漂移的计算模型，得到了对发动机系统布局有指导作用的结论。     

卫星优化热设计方法

试图把最优化技术应用于卫星工程的热设计中,提出一种优化热设计的方法,并以14个节点模型作为实例进行了计算分析,采用Hooke-Jeeves 的直接搜索法得到了满意的结果。初步编制的计算机程序,可作为卫星热设计方案计算的基础。     

Spectra and time variability of black-hole binaries in the low/hard state

We propose a jet model for the low/hard state of galactic black-hole X-ray sources which explains the energy spectra from radio to X-rays and a number of timing properties in the X-ray domain such as the time lag spectra, the hardening of the power density spectra and the narrowing of the autocorrelation function with increasing photon energy. The model assumes that (i) there is a magnetic field along the axis of the jet, (ii) the electron density in the jet drops inversely proportional to distance, (iii) the jet is “hotter” near its center than at its periphery, and (iv) the electrons in the jet follow a power-law distribution function. We have performed Monte Carlo simulations of Compton upscattering of soft photons from the accretion disk and have found power-law high-energy spectra with photon-number index in the range 1.5–2 and cutoff at a few hundred keV, power-law time lags versus Fourier frequency with index 0.8, and an increase of the rms amplitude of variability and a narrowing of the autocorrelation function with increasing photon energy as they have been observed in Cygnus X-1. The spectrum at long wavelengths (radio, infrared, optical) is modeled to come from synchrotron radiation of the energetic electrons in the jet. We find flat to inverted radio spectra that extend from the radio up to about the optical band. For magnetic field strengths of the order 10⁵–10⁶ G at the base of the jet, the calculated spectra agree well in slope and flux with the observations.     

Coronal mass ejection detection using wavelets,curvelets and ridgelets: Applications for space weather monitoring

Coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic field that can produce adverse space weather at Earth and other locations in the Heliosphere. Due to the intrinsic multiscale nature of features in coronagraph images, wavelet and multiscale image processing techniques are well suited to enhancing the visibility of CMEs and suppressing noise. However, wavelets are better suited to identifying point-like features, such as noise or background stars, than to enhancing the visibility of the curved form of a typical CME front. Higher order multiscale techniques, such as ridgelets and curvelets, were therefore explored to characterise the morphology (width, curvature) and kinematics (position, velocity, acceleration) of CMEs. Curvelets in particular were found to be well suited to characterising CME properties in a self-consistent manner. Curvelets are thus likely to be of benefit to autonomous monitoring of CME properties for space weather applications.