Influence of atmospheric turbulence on planetary transceiver laser ranging

In this paper we investigate the influence of atmospheric turbulence on the performance of the uplink of a planetary transceiver laser ranging system using a single photon detector. We numerically combine the influence of turbulence in the mean intensity profile variations, scintillation, beam-wander induced pointing errors and stochastic time-of-flight variations, using the Hufnagel–Valley turbulence profile to model the ground turbulence behavior. We map the intensity variations due to turbulence to variations in the probability distribution of the arrival time of the 1st photon in a laser pulse, which influences the range measurement error probability distribution. The turbulence models are applied to assess the influence on single-pass range accuracy and precision statistics, as well as the parameter estimation quality of a Phobos Laser Ranging (PLR) mission.     

湍流燃烧反应机理的简化

采用速率敏感度分析法分别对燃料为CO/H2和CH3OH的钝体绕流湍流扩散火焰的燃烧机理进行了简化.判断出了冗余组分,并通过对敏感度矩阵F的主成分分析,找出了次要反应,使原始的复杂湍流燃烧机理得到了大幅度的简化.简化机理与详细机理的计算结果吻合得很好.结果表明,速率敏感度分析的方法能大大简化复杂的湍流反应机理,且计算效率高,精度满足要求.     

沟槽面湍流边界层湍流度分布

应用激光测速(LDV)技术对沟槽面湍流边界层湍流度分布进行了精细的测量,实验结果表明,在湍流边界层区域沟槽面湍流度最大值比光滑面要小,但出现的位置比光滑面要远.此外,紧靠沟槽面,即y++<4内,沟槽面有较大的湍流度,说明沟槽面有使近壁区流动紊动增加的趋势.对于y/δ≥0.06的区域,湍流度可用u′\u=2.3 exp (-0.9y/δ)描述,而在y/δ<0.06内,则有u′/u =36.4y/δ.     

On developing data-driven turbulence model for DG solution of RANS

High-order Discontinuous Galerkin(DG) methods have been receiving more and more attentions in the area of Computational Fluid Dynamics(CFD) because of their high-accuracy property. However, it is still a challenge to obtain converged solution rapidly when solving the Reynolds Averaged Navier–Stokes(RANS) equations since the turbulence models significantly increase the nonlinearity of discretization system. The overall goal of this research is to develop an Artificial Neural Networks(ANNs) model with low complexity acting as an algebraic turbulence model to estimate the turbulence eddy viscosity for RANS. The ANN turbulence model is off-line trained using the training data generated by the widely used Spalart–Allmaras(SA) turbulence model before the Optimal Brain Surgeon(OBS) is employed to determine the relevancy of input features.Using the selected relevant features, a fully connected ANN model is constructed. The performance of the developed ANN model is numerically tested in the framework of DG for RANS, where the‘‘DG+ANN" method provides robust and steady convergence compared to the ‘‘DG+SA" method. The results demonstrate the promising potential to develop a general turbulence model based on artificial intelligence in the future given the training data covering a large rang of flow conditions.     

Temporal and spatial stochastic behaviour of high-frequency slant tropospheric delays from simulations and real GPS data

In this paper, a turbulence theory-based simulation procedure for slant tropospheric delay variations is presented. Based on this procedure tropospheric delay variations are simulated for three different geometric scenarios. The stochastic behaviour of the generated time series is assessed in terms of temporal structure functions. It is shown that the temporal structure functions – in general – follow a 5/3 to 2/3 power-law behaviour. Deviations from this behaviour due to the complex interaction between varying observation geometry and atmospheric/turbulent conditions are discussed.     

Non-Linear Growth of Trapped Particle Modes in Linearly Stable, Current-Carrying Plasmas – A Fundamental Process in Plasma Turbulence and Anomalous Transport

The two-stream instability as a fundamental process in a current-carrying plasma is reconsidered. Its well-established linear version, based on kinetic Landau theory, predicts a threshold for the drift velocity between both species below which the plasma should be stable. We report on simulations which, however, show that a plasma as a non-linearly responding medium can be destabilized well below this threshold. Responsible for this unexpected behaviour are coherent, electrostatic, trapped particle structures such as phase space vortices or holes which can grow non-linearly out of thermal noise receiving their energy from the net imbalance of loss of electron kinetic energy and gain of ion kinetic energy. The birth of predominantly zero-energy holes is shown numerically being associated with initial, non-topological fluctuations. The latter are not subject to Landau damping, as they lie outside the realm of linear wave theory. For a pair plasma a typical scenario is presented, which encompasses several regimes such as non-linear growth of multiple holes, saturation and fully developed structural turbulence as well as an asymptotic approach to a new collisionless equilibrium. During the transient, structural state the plasma transport appears to be highly anomalous.     

封闭圆柱形粉尘爆炸罐内扬尘诱导湍流特性的确定

采用热线风速仪和系综平均法测定和研究了封闭圆柱形粉尘爆炸罐内扬尘湍流的瞬态特性，并与球形爆炸容器内已测定的扬尘湍流瞬态特性进行了比较，对系综平均法用于扬尘湍流的测量误差与测量次数的关系进行了探讨。     

大气湍流对APD直接检测接收机抗噪声性能影响

针对以往分析湍流信道对系统抗噪声性能影响的不足,给出了一种基于APD直接检测接收机的湍流噪声的处理方法.在APD直接检测接收机模型的基础上,推导了其信噪比和曼彻斯特编码系统的差错概率,并详细分析了湍流对接收机的抗噪声性能影响.结果表明,增大接收天线孔径可以减弱湍流的影响,但在天线孔径较小时,增加发射功率并不能有效地提高...     

LES／RANS混合方法对超声速底部流动的应用

为克服大涡模拟(LES,Large Eddy Simulation)对近壁区域使用的局限,近年来LES/RANS(Reynolds Averaged Navier-Stokes)混合方法成为研究热点,利用LES与RANS两者自身的优点克服对方的不足,有效实现计算精度和效率的统一.基于LES/RANS混和方法,采用Smagorinsky-BL(Baldwin-Lomax)模型和新型Vreman-BL模型,对超音速底部流动这一难题进行了模拟,分析了其流场结构.计算结果表明:得到的速度型、底面压力分布与实验值吻合,优于雷诺平均方法的结果.     

基于LES方法的平板非定常激波/湍流边界层干扰研究

以高超声速发动机进气道湍流分离控制为应用背景,采用大涡模拟(LES)方法进行马赫数为3.0(唇口附近马赫数约为3.0)的激波/湍流边界层干扰(SWTBLI)流场机理研究.利用扰动循环引入的方法,先得到充分发展湍流场,然后根据斜激波关系式引入激波的方法进行激波/湍流干扰模拟.研究结果显示:充分发展湍流场在激波作用下产生逆...