超声爬波无损检测方法的研究

本文介绍了超声无损检测中一种具有较好应用前景的波型──超声爬波。试验研究了爬波检测时缺陷定位、定性评定的方法，并给出了主要结论。     

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。     

超声速流中激波/湍流附面层干扰数值模拟

采用修正的B／L湍流模型以及多块结构化网格求解了二维N-S方程。分别对超声速流和高超声速流中的激波／湍流附面层干扰进行了数值研究。本文首先研究了进口马赫数为2．96的超声速流。计算结果准确预测了入射斜激波在平直壁面引起湍流附面层分离的流动特征：分离点的反射激波、分离包引起的膨胀扇以及再附点的反射激波。计算的壁面压力分布与实验值吻合较好，计算的分离区长度与实验值比较有一定误差。本文还对进口马赫数为9．22的高超声速流中压缩角引起的激波／湍流附面层干扰进行了数值研究。计算结果与实验结果吻合较好。     

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。     

对旋轴流风机非定常流场数值模拟

利用全隐格式的非稳态压力修正求解方法,分析和研究了对旋叶轮级间流场非定常流动情况,上游尾迹与下游叶片位势作用对流场的影响,并与动态实验结果进行了有益的对比.结果表明:非定常流场的计算更能反映叶轮机实际运行性能,如果能很好地组织对旋叶轮的非定常流动,还可以进一步提高其压比和效率.     

人工释能法求解线性代数方程组

本文建立求解线性代数方程组的人工释能法迭代格式,并给出该迭代格式收敛的充分必要条件和最佳释能时机,同时给出实现人工释能法的数值计算方法及其数值稳定性条件。     

CNC数控系统控制软件

本文分析了数控机床控制系统,由硬件NC(Numerical Contro1)向CNC(ComputerNumerical Control)转变时进给速度下降的问题,阐述了解决此问题的一种方法——二次插补方法。指出CNC数控系统是个多重中断系统,论述了将数控的工作按其重要的程度、实时性的高低,安排在不同的优先级,使整个系统协调工作的思想。     

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.     

Study of the variability of blazars gamma-ray emission

The γ-ray emission of blazar jets shows a pronounced variability and this feature provides limits to the size and to the speed of the emitting region. We study the γ-ray variability of bright blazars using data from the first 18 months of activity of the Large Area Telescope on the Fermi Gamma-Ray Space Telescope. From the daily light-curves of the blazars characterized by a remarkable activity, we firstly determine the minimum variability time-scale, giving an upper limit for the size of the emitting region of the sources, assumed to be spheroidal blobs in relativistic motion. These regions must be smaller than ∼10⁻³ parsec. Another interesting time-scale is the duration of the outbursts. We conclude that they cannot correspond to radiation produced by a single blob moving relativistically along the jet, but they are either the signature of emission from a standing shock extracting energy from a modulated jet, or the superposition of a number of flares occurring on a shorter time-scale. We also derive lower limits on the bulk Lorentz factor needed to make the emitting region transparent for gamma-rays interacting through photon–photon collisions.     

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.