Euler方程无网格算法及布点技术

研究了Bitina的显式无网格算法。在该算法的基础上,给出了Euler方程无网格离散形式,运用RungeKutta显式时间推进格式推进求解。文中的耗散项采用了与非结构网格上类似的守恒型耗散算子,边界条件的处理借鉴了结构化网格处理技术。此外,本文还描述了一种区域离散布点方法,研究了点云生成的选点准则,并成功地数值模拟了二维翼型的典型绕流。     

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。     

含连续／离散变量结构优化中的神经网络与变尺度模拟退火方法

传统的优化方法难于有效地处理含有连续／离散混合变量优化问题，本文介绍了一种改进的变尺度模拟退火方法并与人工神经网络能量函数模型相结合，用于求解含连续／离散设计变量的工程结构优化问题，较好地解决了模拟退火技术用于工程结构优化时选取具有全局性的初始点困难及迭代次数较多的弱点。算例表明，该方法可以使模拟退火算法从局部最优的陷阱中跳出，最后求出整体最优解。     

非接触光测物体大位移研究

提出了一种非接触光学法－单光栅双图像法测量物体位移的新技术，利用两个正交的图像记录系统，在试件作大位移后，记录被平行多光束照射形成的光点所覆盖的试件的图像，借助于记录光路系统几何表数，可建立一联立方程组。解此方程组，就可得到被测物体上诸光点所表示的测点的位移大小和坐标值，文中还论述了度件图上测点位置的确定和修正方法，导出了被测物休图像负片上测点的实际坐标的计算公式，实验结果证明，本文提出的测量理论是正确的。     

对称奇异线性方程组极小范数解的迭代法

给出了求对称奇异线性方程组Ａｘ＝ｂ极小范数解的迭代算法，其迭代公式为此处／为秩是，ｒ（ｒ＜ｎ）的ｎ阶实对称矩阵，Ｅ为ｎ阶单位阵，ｂ为ｎ维列向量，ｍ为正整数，ε为正实数。证明了这类选代算法的收敛性，讨论了它的事先误差估计式和事后误差估计式。作为应用，给出了求超定线性方程组极小最小二乘解的迭代算法、特征向量导数计算的迭代算法和对于病态正定线性方程组。本文的选代算法可改善病态条件，算例表明也是有效的。     

风洞干扰对YF16模型实验数据的影响

本文研究了风洞干扰对ＹＦ１６模型实验数据的影响，特别着重于阻塞效应。结论是：提高大攻角实验数据准确度的关键在于减少和修正由于阻塞效应引起的系统误差。     

紧缩场反射面板热变形的适应性调整

随着季节的变化,紧缩场反射面板的温度在15~25℃之间变化.热变形量往往超出允许的误差.利用Marc有限元软件,分析了紧缩场在温度、重力和反向力等作用下的变形.针对变形最严重的工况下的变形,用最小二乘法对变形后的数据进行二次多项式曲线拟合,得出与变形后的反射面相一致的新的母线方程和焦距.仿真结果表明调整馈源位置,能够适合于面板焦距的变化.     

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.     

Investigating gamma-ray burst data reduction techniques with Swift’s instruments

The amount of data on gamma-ray bursts (GRBs) and the detected afterglows observed by the Swift satellite contributed significantly to the understanding of the phenomenon. The behavior of the early afterglow rises some interesting questions. With the early afterglow localizations of gamma-ray burst positions made by Swift, the clear delimitation of the prompt phase and the afterglow is not so obvious any more. There are hints of a canonical X-ray afterglow lightcurve with segments of different slopes. Not all bursts necessarily show all the segments. It is important to see if the prompt phase and the afterglow has the same origin or they stem from different parts of the progenitor system. We will combine the of gamma-ray burst data from BAT and XRT and compare the extrapolated gamma-ray flux to the X-ray in a sample of bursts and find that there is a good agreement between the two measurements. This indicates that the physical process shaping burst and the early afterglow are the same.