NUMERICAL SIMULATION OF FLOW PATTERNS IN PLANAR JETS

INTRODUCTIONTurbulent jet flow is the most widely usedflow type in engineering applications especiallyfor combustion engines which provide most ener-gy sources for industrial production and trans-portation,and a large proportion of energy trans-portation and conversion processes is dominatedby transient evolution of large- scale structures,or so called coherent structures,in turbulentjets.As the flow control and optimization pro-cesses are closely related to the understanding ofdetailed in…     

OLTARIS: On-line tool for the assessment of radiation in space

OLTARIS (On-Line Tool for the Assessment of Radiation In Space) is a space radiation analysis tool available on the World Wide Web. It can be used to study the effects of space radiation for various spacecraft and mission scenarios involving humans and electronics. The transport is based on the HZETRN transport code and the input nuclear physics model is NUCFRG. This paper describes the tools behind the web interface and the types of inputs required to obtain results. Typical inputs are mission parameters and slab definitions or vehicle thickness distributions. Radiation environments can be chosen by the user. This paper describes these inputs as well as the output response functions including dose, dose equivalent, whole body effective dose equivalent, LET spectra and detector response models.     

模拟可压缩流的高分辨率有限元法

采用经典的Galerkin方法对N-S方程进行空间离散,再以该半离散格式作为基本格式,参照Kuzmin的思想加入耗散与反耗散项,使所构造的格式具有局部极值不增(LED,Local Extremum Diminishing)性质.对上述半离散格式进行时间离散后所导出的稀疏线性代数方程组,采用了GMRES(Generalized Minimal Residual)迭代法进行求解.为验证所建立的格式及相应的程序,给出了激波管问题和绕圆柱与双椭球超声速流动问题的数值模拟结果.      

高超声速尖锥边界层转捩数值模拟

边界层转捩对高超声速飞行器气动力和热产生重要影响.通过联立求解Favré平均层流脉动能方程与Favré平均Navier-Stokes方程,开展了高马赫数条件下尖锥边界层转捩位置的数值预测研究.将数值计算结果与可用的实验结果进行对比,结果表明增大单位Reynolds数可使转捩提前发生,攻角效应可使迎风面转捩延迟,背风面转捩提前.     

微吹减阻技术影响因素的数值模拟

以NASA格伦中心的PN3和PN23型微孔壁板为原形建立"1排微孔"、"4排微孔"、"8排微孔"和"16排微孔"4种计算模型,针对不同的几何、物理参数进行了微吹技术MBT(Micro-Blowing Technique)降低平板摩擦阻力的数值模拟参数研究.结果显示:微量吹气使主流边界层近壁面流动减速,从而改变了壁面局部摩擦力的分布;不同几何、物理参数对MBT技术减阻能力的影响满足一定的规律.参数研究的结果可为该技术的减阻应用提供一定的指导.     

Hardware-in-the-loop simulations of GPS-based navigation and control for satellite formation flying

A relative navigation and formation control algorithm for satellite formation flying was developed, and a hardware-in-the-loop (HIL) simulation testbed was established and configured to evaluate this algorithm. The algorithm presented is a relative navigation estimation algorithm using double-difference carrier-phase and single-difference code measurements based on the extended Kalman filter (EKF). In addition, a state-dependent Riccati equation (SDRE) technique is utilized as a nonlinear controller for the formation control problem. The state-dependent coefficient (SDC) form is formulated to include nonlinearities in the relative dynamics. To evaluate the relative navigation and control algorithms developed, a closed-loop HIL testbed is configured. To demonstrate the performance of the testbed, a test formation flying scenario comprising formation acquisition and keeping in a low earth orbit (LEO) has been established. The relative navigation results from the closed-loop simulations show that a 3D RMS of 0.07 m can be achieved for position accuracy. The targeted leader–follower formation flying in the along-track separation of 100 m was maintained with a mean position error of approximately 0.2 m and a standard deviation of 0.9 m. The simulation results show that the HIL testbed is capable of successful demonstration of the GPS-based satellite autonomous formation flying mission.     

Fast automatic leveling subject to abrupt deterministic input

This investigation applies a modified Kalman filter with a recursive generalized M estimator (GME) of input to a class of leveling problems, that are subject to abrupt environmental disturbances and high noise levels. A least-squares estimator (LSE) based hypothetical testing scheme is also devised to detect the onset and presence of the input. Simulation results demonstrate that the leveling speed of convergence and accuracy is markedly higher than the original unmodified one     

Bearings-only and Doppler-bearing tracking using instrumentalvariables

In bearings-only tracking (BOT) or Doppler and bearing tracking (DBT), both common passive sonar problems, the measurement equations are nonlinear. To apply the Kalman filter, it is necessary either to linearize the equations or to embed the nonlinearities into the noise terms. The former sometimes leads to filter divergence, while the latter produces biased estimates. A formulation of BOT and DBT which has a constant state vector and simplifies the tracking problem to one of constant parameter estimation is given. The solution is by the instrumental variable method. The instrumental variables are obtained from predictions based on past measurements and are therefore independent of the present noisy measurements. The result is a recursive unbiased estimator. The theoretical developments are verified by simulation, which also shows that the formulation leads to near optimal estimators whose errors are close to the Cramer-Rao lower bound (CRLB)