一种基于当地流活塞理论的超音速导弹气动伺服弹性分析方法

运用当地流活塞理论计算导弹的非定常气动力，在状态空间内实现了气动弹性系统与控制系统的耦合，并进行了时域分析。对某典型导弹的气动伺服弹性问题算例，计算了不同马赫数、不同迎角以及不同的传感器安装位置对导弹气动伺服弹性特性的影响，同时考察了控制系统的引入对不同刚度弹体气动伺服弹性特性的影响。算例结果与理论分析相吻合，表明该方法能简便的对全机、全弹复杂外形的气动伺服弹性正问题进行高效准确的分析，在较大范围的马赫数和迎角内都能得到可靠的结果。     

高超音速化学非平衡层流粘性激波层钝头细长体绕流数值计算

本文研究了高超音速化学非平衡钝头细长体绕流的计算方法,给出了耦合求解连续方程和法向动量方程的具体做法,以及在高空情况下考虑滑移边界条件后的数学处理。计算结果表明,对钝头细长体,可以将计算推进到三十倍头部半径的后身区域。     

炭黑对低燃温双基平台推进剂燃烧性能的影响

研究了炭黑对低燃温双基平台推进剂燃烧性能的影响。指出随着炭黑含量的增加，推进剂燃速也增加，平台或麦撒燃烧区向高压移动；但当炭黑达到某一含量后，炭黑含量再增加，燃速反而下降，平台燃烧区消失。对此现象作了理论解释，并用二次多项式拟合出炭黑含理与燃速的关系。     

分散式多点优化算法及其在多段翼型气动优化中的应用

论述了一种基于基因算法与博弈论的分散式多点优化算法，并应用于多段翼型的气动优化。基因算法是在计算机中模拟自然进化的随机优化算法，随着科学技术的发展，越来越多的优化问题趋向于多目标优化，这就使得结合博弈论以寻求高效优化算法成为必然。本文分别构造了Nash策略及Stackelberg策略与基因算法结合的分散式多点优化算法，应用于多段翼型高升力气动优化，得到了数值结果，并与实验结果进行了对比。     

玻璃纤维增强泰氟隆烧蚀理论

本文给出玻璃纤维增强泰氟隆材料的理模型和计算方法。得到了有液层机械流失的传质参数的关联公式，利用此公式可对此材料的驻点与非驻点烧蚀性能进行预测。     

基于解耦控制的飞机飞行的控制方法仿真研究

深入地研究了基于状态空间法的解耦控制理论，并用此理论对飞机的纵向和横航向的某一飞行状态进行了仿真，得出了既可解耦也可以改善系统响应性能的控制方法。仿真中应用局部解耦的方法构造满足解耦控制条件的多变量系统，局部解耦控制有利于解耦控制方法在飞行控制系统中的应用。     

浑沌动力系统的信息流理论

本文用各态历经理论对浑沌动力系统作了详细研究;揭示了浑沌系统中信息流的机理,提出了描述浑沌物理过程的一个新测度——平均信息量。     

On the free-vibration of rotating composite beams using a higher-order shear formulation

The free vibration behavior of rotating blades modeled as laminated composite, hollow (single celled) boxed beams is investigated. To this end, geometrically nonlinear structural model incorporating a number of non- classical effects such as anisotropy, heterogeneity, transverse shear flexibility, and warping inhibition is developed. Centrifugal and Coriolis force field effects are also considered in the formulation. However, Coriolis effect is discarded during the solution process. It is assumed that in-plane cross-sectional distortion is negligible. In contrast to the existing structural blade models, the traction free boundary conditions on the external surfaces of the beam are identically satisfied. The linearized dynamical equations and numerical results addressing the problem of the free vibration are supplied. Results obtained for the present higher-order shearable model are compared with those of the existing first-order shearable and the non-shearable structural models. Tailoring studies using the present model reveal an enhancement of eigenfrequency characteristics.     

悬丝支撑加速度计标度因数温度系数补偿方法研究

温度是影响加速度计标度因数的最主要因素,标度因数的温度系数是评价标度因数随温度变化的程度.本文根据悬丝支撑的摆式加速度计工作原理,分析了温度变化对标度因数的影响,同时给出了标度因数温度系数的补偿原理和方法,并通过试验进行了验证.     

Applying the mathematical theory of stochastic processes to lunar and planetary science: the ancient oceans on Mars case

The Mathematical Statistics Theory (MST) and the Mathematical Theory of Stochastic Processes (MTSP) are different branches of the more general Mathematical Probability Theory (MPT) that represents different aspects of some physical processes we can analyze using mathematics. Each model of a stochastic process according to the MTSP can provide one or more interpretations in the MST domain. The importance of MTSP is that each such interpretation can provide large amount of new information. While large body of work on the impact crater statistics according to MST has already been done, it is yet to be investigated as to how we can model a stochastic process according to MTSP; for example, bombardment of the planetary surface or something else in a Lunar and Planetary Science (LPS) domain. In order to show possible achievements, the possible existence of a Martian ocean was chosen as a query that could be addressed through computations using presumptions according to MTSP, including probability of existence as well as lateral and vertical extent and duration of time. While the presumptions for this particular case will also be addressed in certain degree, this will be done primarily to show complexities of some physical process that can be modeled, rather than to prove correctness of the concrete values computed here. While this in itself can be the objective in some future work toward the formal proof of the probability, extent, and timing of oceans on Mars, the basic idea here is to show the basic principles of MTSP, and its potential for addressing LPS-related phenomena. Here, I attempt to show how this approach can: (1) provide large amounts of previously unknown information about physical processes on the surface of the planet, (2) lead to a better understanding of the processes that have shaped the surface of the planet, and/or (3) help constrain the amount of resurfacing. Coupled with other current methodologies, MTSP can result in a better understanding of the history of Mars, as well as other lunar and planetary bodies.