结构误差对旋转稳定弹丸气动特性影响的数值模拟

基于剪切应力传输(SST)k-ω湍流模型,对考虑结构误差情况下的弹箭模型进行数值模拟计算。首先采用CFD和工程经验公式相结合的方法,得到了不同马赫数、不同转速情况下无结构误差模型的多种气动特性参数。通过与实验数据对比,阻力、法向力、俯仰力矩、压心位置误差在10%以内,验证了该方法的可行性和准确性。然后,建立了考虑结构误差即质量分布不对称、弹体不同轴和无结构误差模型,并分别进行了气动特性模拟计算。结果表明,质量偏心对滚转阻尼力矩系数、马格努斯力矩系数影响很大;弹体不同轴对法向力系数导数、俯仰力矩系数导数、马格努斯力矩系数导数和压心位置都产生很大影响。结构误差使模型的多种气动特性参数产生很大变化,将影响其飞行弹道和稳定性。     

多跑道航班进离场动态调度模型与算法

针对民航运输快速发展导致的航班延误频增现象,研究了多跑道航班进离场的动态调度问题。研究时段内航班的总延误成本最小和延误时间均衡为目标,综合考虑根据机型确定的航班进离场调度优先权和管制员负荷,建立多跑道航班进离场调度模型,利用遗传算法对模型进行仿真验证。仿真结果与先到先服务(FCFS)调度方式进行比较,采用遗传算法的航班进离场调度比FCFS的延误成本降低了45.07%,延误时间降低了37.90%,同时有效地均衡了航空公司的延误时间,保障了航空公司的公平性并提高了跑道系统容量,降低了管制员负荷。通过仿真验证了多跑道航班进离场动态调度策略具有较强的优势和可行性。     

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cubature Kalman filter（AGSSCKF） with a split-merge scheme is proposed. It is developed based on the squared-root extension of newly introduced cubature Kalman filter（SCKF） and is built within a Gaussian-sum framework. Based on the condition that the probability density functions of process noises and initial state are denoted by a Gaussian sum using optimization method, a bank of SCKF are used as the sub-filters to estimate state of system with the corresponding weights respectively, which is adaptively updated. The new algorithm consists of an adaptive splitting and merging procedure according to a proposed split-decision model based on the nonlinearity degree of measurement. The results of two simulation scenarios（one-dimensional state estimation and bearings-only tracking） show that the proposed filter demonstrates comparable performance to the particle filter with significantly reduced computational cost.     

表面热流可辨识性初步分析

表面热流的可辨识性分析可用于飞行器防热层内温度测量精度和测温点位置的确定,在工程上有较强的实用意义。从无量纲分析和仿真辨识出发,根据防热层材料热物性系数、测点位置、表面热流的频域特性等参数对表面热流辨识结果的影响规律,总结出了表面热流辨识问题的相似参数：基于表面热流频率参数的傅立叶数。此后,以这一傅立叶数为判据,针对不同测量误差值的情况初步建立起了表面热流可辨识性的准则和分析方法。     

Analysis of geometrically nonlinear shells of revolution based on the finite element method with the vector interpolation of desired quantities

In this paper, we present an algorithm for geometrically nonlinear finite element analysis of the shells of revolution. Use is made of the most proper algorithms for vector interpolation of displacements through the nodal unknowns and an efficient algorithm for obtaining the stress-strain increment relation at a step of loading. By comparing the results of analyzing a geometrically nonlinear shell of revolution obtained on the basis of the ANSYS software with the scalar interpolation of displacements with those obtained on the basis of an author-developed finite element, it has been shown that application of the FEM vector displacement interpolation leads to increasing the accuracy of the finite element solutions in analyzing the stress-strain state of the geometrically nonlinear shells.     

柔性接头有效摆心漂移特性

设计了带缠裹式防热套的柔性接头,弹性件和防热套材料均采用硅橡胶.研究了柔性接头有效摆心和几何球心的关系,采用2阶四项式Mooney-Rivlin模型模拟弹性件的本构关系,利用ANSYS软件分别仿真计算柔性接头在压强为0,9MPa下不同摆角条件的有效摆心和几何球心漂移,得到了两者的漂移包络线,把仿真的有效摆心漂移结果与试验测量值进行比较,并利用间隙碰撞试验验证了几何球心漂移仿真结果的准确性,在此基础上研究了有效摆心漂移的原因.结果表明:摆心包络线的仿真结果与试验结果吻合较好,有效摆心和几何球心是两个不同的概念,柔性接头的有效摆心漂移在半径为2.5mm,高为1.4mm的圆柱包络面内,而几何球心的漂移在半径为0.013mm,高为0.6mm的圆柱包络面内,有效摆心漂移是由接头各层增强件和弹性件的变形不同引起的.      

基于空间环境下细胞预处理装置的研制

生物样品的分离纯化是生命科学研究中的重要环节。在常规地面分离方法中,往往用到离心、萃取等操作,然而在空间微重力条件下,常规的方法无法进行,需要采用特定的方法和技术进行研究。以实现空间环境下细胞内生物大分子的分离为目标,研制了一种可以自动化一体化的装置,其先对细胞样品进行清洗、裂解并释放内溶物,然后在超滤分离池中将生物大分子和小分子化合物进行分离。通过对分离获得的大分子物质如蛋白质的回收率来优化仪器装置的最佳运行条件。结果表明,所研制的装置通过泵在一定频率下的切换,可使裂解体系在膜上进行反复的往返振动,从而使裂解液与细胞进行充分的接触,有效提高了细胞裂解的程度,提高了大分子蛋白的回收率,并通过条件优化确定了装置的最佳运行条件。     

用热流探针测量激波速度

激波速度测量是激波管和激波风洞运行状态的一个重要参数,压电传感器或光学方法测速系统成本高,而传统电离探针在激波马赫数较低、波后温度达不到空气电离程度的情况下无法满足实验要求。提出了一种使用同轴热电偶作为测速探针来测激波速度的方法,弥补了电离探针在激波马赫数较低时的不足。介绍了同轴热电偶探针测速原理,并设计了测量激波速度的系统电路。通过信号放大电路锁定激波冲激信号,触发脉冲信号发生电路,实现了一种单通道、多测点的激波风洞测速系统。分别开展以温度与热流为触发信号的风洞实验,结果表明只有使用热流信号才能满足激波测速的时间要求。     

Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density Filter

The Gaussian mixture probability hypothesis density (GM-PHD) recursion is a closed-form solution to the probability hypothesis density (PHD) recursion, which was proposed for jointly estimating the time-varying number of targets and their states from a sequence of noisy measurement sets in the presence of data association uncertainty, clutter, and miss-detection. However the GM-PHD filter does not provide identities of individual target state estimates, that are needed to construct tracks of individual targets. In this paper, we propose a new multi-target tracker based on the GM-PHD filter, which gives the association amongst state estimates of targets over time and provides track labels. Various issues regarding initiating, propagating and terminating tracks are discussed. Furthermore, we also propose a technique for resolving identities of targets in close proximity, which the PHD filter is unable to do on its own.     

基于ANSYS的同面多电极电容传感器仿真研究

同面多电极电容传感器是一种新的飞机复合材料构件损伤检测技术,该检测技术的正问题中敏感场分布函数的计算要涉及到静电场中电容计算问题。在仿真研究中,电容要通过场的数值计算方法来求得。本文介绍了如何使用ANSYS有限元分析计算同面多电极电容传感器中的各电极对之间的电容,对检测材料发生异常及传感器参数改变时电容的变化进行了分析,为损伤检测的特征提取和逆问题图像重构提供了仿真数据。