Effects of adverse pressure gradient on Reynolds stresses inturbulent boundary layers

The effects of adverse pressure gradient (APG) on Reynolds stresses in turbulent boundary layers (TBLs) with APG were analyzed. The difficulty of this work was attributable to the Reynolds stresses in TBLs with APG under two combined effects, i.e.: effect of upstream flow and effect of APG. The effect of upstream flow is an inherent effect no matter pressure gradient exists or not. The individual effect was analyzed from absolute developments of Reynolds stresses in TBLs with zero pressure gradient (ZPG) firstly. Effect of APG was then analyzed from absolute developments of Reynolds stresses in TBLs with APG. Result showed that, for absolute development of mean streamwise Reynolds stresses, APG accelerated its development in TBL with ZPG; for absolute development of mean normal or shear Reynolds stresses, APG increased their magnitude in the outer part, and decreased their extent of large value region.      

An improved multiple model GM-PHD filter for maneuvering target tracking

In this paper, an improved implementation of multiple model Gaussian mixture probability hypothesis density (MM-GM-PHD) filter is proposed. For maneuvering target tracking, based on joint distribution, the existing MM-GM-PHD filter is relatively complex. To simplify the filter, model conditioned distribution and model probability are used in the improved MM-GM-PHD filter. In the algorithm, every Gaussian components describing existing, birth and spawned targets are estimated by multiple model method. The final results of the Gaussian components are the fusion of multiple model estimations. The algorithm does not need to compute the joint PHD distribution and has a simpler computation procedure. Compared with single model GM-PHD, the algorithm gives more accurate estimation on the number and state of the targets. Compared with the existing MM-GM-PHD algorithm, it saves computation time by more than 30%. Moreover, it also outperforms the interacting multiple model joint probabilistic data association (IMMJPDA) filter in a relatively dense clutter environment.     

气动磁镜聚变推进器的火星探测任务分析

将气动磁镜聚变概念拓展到空间推进器应用,分析了不同等离子体密度和氢推进剂质量流率下聚变推进器的比冲和推力变化范围,理论计算表明其比冲可达10 000 s以上,推力最高可达几十牛。在此基础上,进一步采用气动磁镜聚变推进器对地火转移任务进行了数值仿真。假设推进器初始质量为100 t,仿真结果表明:当飞行时间在282.42~639.76 d变化时,剩余质量从88.59 t提升至98.24 t。相关分析表明基于气动磁镜的聚变空间推进器通过调节比冲和推力组合方式,可以很好地满足未来火星载人和货运任务对飞行时间和有效载荷份额的不同需求,是未来高性能空间推进器发展的一种候选方案。      

Controlling secondary flow in high-lift low-pressure turbine using boundary-layer slot suction

The design of high-lift Low-Pressure Turbines (LPTs) causes the separation of the boundary layer on the suction side of the blade and leads to a strong secondary flow.This present study aims to minimize secondary losses through endwall slot suction and incoming wakes in a front-loaded high-lift LPT cascade with Zweifel of 1.58 under low Reynolds number of 25000.Two slotted schemes for the boundary layer of the endwall were designed (Plan A and Plan B),and the effects of suction mass flow on seco...     

某种叉流板翅式热交换器动态性能的计算

对某型飞机上应用的一种叉流板翅式热交换器的动态性能进行了计算研究,分别用数值计算方法和参数集中方法进行了计算,给出了计算比较的结果.结果表明,这2种方法计算所得的结果很接近,但是参数集中法计算程序更为简结,适合用于系统模拟的情况.      

APPROXIMATE SOLUTION FOR THIN PLATES CONSTRAINED AT ARBITRARY POINTS

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FATIGUE DISLOCATION CONFIGURATIONS IN HEXAGONAL ZIRCALOY-4

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AerMet100—极好综合性能的超高强度钢

介绍了综合性能优良并有广泛应用前景的新型超高强度钢ＡｅｒＭｅｒ１００，与经超高强度钢相比，它具有更突出的综合性能；高强度、高硬度、高断裂韧性和延展性、优良的抗疲劳性能和抗应力开裂性能。     

Reinforcement learning based UAV formation control in GPS-denied environment

Highly accurate positioning is a crucial prerequisite of multi Unmanned Aerial Vehicle close-formation flight for target tracking, formation keeping, and collision avoidance. Although the position of a UAV can be obtained through the Global Positioning System(GPS), it is difficult for a UAV to obtain highly accurate positioning data in a GPS-denied environment(e.g., a GPS jamming area, suburb, urban canyon, or mountain area); this may cause it to miss a tracking target or collide with another UA...     

Resource saving based dwell time allocation and detection threshold optimization in an asynchronous distributed phased array radar network

The resource optimization plays an important role in an asynchronous Phased Array Radar Network(PARN) tracking multiple targets with Measurement Origin Uncertainty(MOU), i.e., considering the false alarms and missed detections. A Joint Dwell Time Allocation and Detection Threshold Optimization(JDTADTO) strategy is proposed for resource saving in this case. The Predicted Conditional Crame?r-Rao Lower Bound(PC-CRLB) with Bayesian Detector and Amplitude Information(BD-AI) is derived and adopted as ...