A hybrid multidimensional Riemann solver to couple self-similar method with MULTV method for complex flows

Since proposed, the self-similarity variables based genuinely multidimensional Riemann solver is attracting more attentions due to its high resolution in multidimensional complex flows. However, it needs numerous logical operations in supersonic cases, which limit the method’s applicability in engineering problems greatly. In order to overcome this defect, a hybrid multidimensional Riemann solver, called HMTHS (Hybrid of MulTv and multidimensional HLL scheme based on Self-similar structures), is proposed. It simulates the strongly interacting zone by adopting the MHLLES (Multidimensional Harten-Lax-van Leer-Eifeldt scheme based on Self-similar structures) scheme at subsonic speeds, which is with a high resolution by considering the second moment in the similarity variables. Also, it adopts the MULTV (Multidimensional Toro and Vasquez) scheme, which is with a high resolution in capturing discontinuities, to simulate the flux at supersonic speeds. Systematic numerical experiments, including both one-dimensional cases and two-dimensional cases, are conducted. One-dimensional moving contact discontinuity case and sod shock tube case suggest that HMTHS can accurately capture one-dimensional expansion waves, shock waves, and linear contact discontinuities. Two-dimensional cases, such as the double Mach reflection case, the supersonic shock / boundary layer interaction case, the hypersonic flow over the cylinder case, and the hypersonic viscous flow over the double-ellipsoid case, indicate that the HMTHS scheme is with a high resolution in simulating multidimensional complex flows. Therefore, it is promising to be widely applied in both scholar and engineering areas.     

基于学习的图像智能适配显示技术

为适应不同的显示分辨率,出现了各式各样的图像适配显示(IR)的方法.提出了基于图像列的一种快速适配显示方法.在处理过程中,首先,计算一个原始图像的重要性图;其次,根据图像每列的重要性程度为其分配一个比例因子,对不同图像而言,应对比例因子设置不同的上限才可以得到较好的结果;最后,提出通过机器学习方法计算出不同图像的上限,从而可以高效率地得到理想的结果.根据每一列的比例因子采用像素融合的方式处理图片得到目标分辨率.本方法是基于列实现的,其复杂度低、便于计算;设置每列系数的上限控制了图像重要部分的宽度,从而减少了不连贯,处理结果更为自然.      

降落伞数值模拟中的计算流体力学研究进展简介

文章介绍了降落伞数值模拟的基本思想。着重对降落伞数值模拟中的计算流体力学研究进展进行了综述 ,还对近年来的降落伞数值模拟应用进行了总结 ,突出了近两年来的发展变化。最后提出了降落伞流场的数值模拟尚需改进的若干方面     

基于管制复杂性的扇区容量评估分析

本文首先阐述了空中交通运输现状,重申了复杂性研究的重要性。为了正确评估管制能力、预测扇区容量,需要采取与管制复杂性相结合的工作负荷评估方法。本文以乌鲁木齐进近01、02号扇区为例,研究了在扇区复杂性相似的情况下,由于交通流差异造成的管制复杂性差异对管制员工作负荷权值以及扇区容量的影响。     

Developing an engineering-statistical model for estimating aerodynamic coeffcients of helicopter fuselage

The design of the geometric shape of a helicopter fuselage poses a serious challenge for designers. The most important parameter in determining the shape of the helicopter fuselage is its aerodynamic coefficients. These coefficients are determined using two methods:wind tunnel test and computational fluid dynamics (CFD) simulation. The first method is expensive, time-consuming and limited. In addition, estimates in regions away from data can be poor. The second method, due to the limitations of numerical solution, the number of nodes and the used solution, is often inaccurate. In this paper, with the aim of accelerating the design process and achieving results with reasonable engineering accuracy, an engineering-statistical model which is useful for estimating the aerodynamic coefficients was developed, which mitigated the drawbacks of these two methods. First, by combining CFD simulation and regression techniques, an engineering model was pre-sented for the estimation of aerodynamic coefficients. Then, by using the data from a wind tunnel test and implementation of statistical adjustment, the engineering model was modified and an engineering-statistical model was obtained. By spending less time and cost, the final model provided the aerodynamic coefficients of a helicopter fuselage at the desired angles of attack with reasonable accuracy. Finally, three numerical examples were provided to illustrate the application of the pro-posed model. Comparative results demonstrate the effectiveness of the engineering-statistical model in estimating the aerodynamic coefficients of a helicopter fuselage.     

涡轮冷却叶片参数化造型与网格自动生成

为提高涡轮叶片的数值计算效率,开发出基于参数控制的涡轮叶片模型软件。可实现叶片模型重构、计算域分区、结构化网格生成过程的自动完成和参数化控制,使得叶片的造型和网格生成过程简单化;对生成网格进行数值模拟计算,计算结果表明:生成网格在满足叶片数值计算精度的前提下,工作量大大减少,网格生成效率极大提高;在模型调整时,只需更改相应参数即可快速更新模型,缩短模型的生成周期,提高设计工作的可重用性。     

基于强化学习的多无人机避碰计算制导方法

针对大量固定翼无人机在有限空域内的协同避碰问题,提出了一种基于多智能体深度强化学习的计算制导方法.首先,将避碰制导过程抽象为序列决策问题,通过马尔可夫博弈理论对其进行数学描述.然后提出了一种基于深度神经网络技术的自主避碰制导决策方法,该网络使用改进的Actor-Critic模型进行训练,设计了实现该方法的机器学习架构,...     

Numerical simulation of broken pin effects on the flow field and cooling performance of a double-wall cooling configuration

In this paper, the flow characteristics of the double wall structure are presented and the effect of the broken pin size on the cooling performance and flow field of the double wall configuration is investigated. A periodic plate model with seven units is adopted, and there are an impingement hole and a film hole in each unit. Under five blowing ratios, six different sizes of the broken pin are compared, and the double wall configuration without broken pins is taken as the baseline. The results show that if the broken pins height is too small, the cooling effectiveness usually cannot be improved. With the presence of broken pins with a height of more than 0.4, the effectiveness is improved due to the enhancement of reattachment and recirculation of coolant. With the increase of the broken pin height, the cooling effectiveness increases. However, the increase of the diameter does not always improve the cooling performance, since the limiting effect of the wall jet. In this study, Case 6 with the largest broken pin always has the best cooling performance, but also the largest flow resistance. In Case 6 temperature is reduced by almost 15 K compared to the baseline, and more areas have relatively higher cooling effectiveness.     

Effect of Coriolis and centrifugal forces on flow and heat transfer at high rotation number and high density ratio in non orthogonally internal cooling channel

Numerical predictions of three-dimensional flow and heat transfer are performed for a two-pass square channel with 45° staggered ribs in non-orthogonally mode-rotation using the second moment closure model. At Reynolds number of 25,000, the rotation numbers studied were 0,0.24, 0.35 and 1.00. The density ratios were 0.13, 0.23 and 0.50. The results show that at high buoyancy parameter and high rotation number with a low density ratio, the flow in the first passage is governed by the secondary flow induced by the rotation whereas the secondary flow induced by the skewed ribs was almost distorted. As a result the heat transfer rate is enhanced on both co-trailing and co-leading sides compared to low and medium rotation number. In contrast, for the second passage, the rotation slightly reduces the heat transfer rate on co-leading side at high rotation number with a low density ratio and degrades it significantly on both co-trailing and co-leading sides at high buoyancy parameter compared to the stationary, low and medium rotation numbers. The numerical results are in fair agreement with available experimental data in the bend region and the second passage, while in the first passage were overestimated at low and medium rotation numbers.     

复合固体推进剂燃烧性能模拟计算的神经网络方法

在总结已有燃烧模型的基础上，重点考虑压强、氧化剂的重均粒径、氧化剂的质量浓度三种主要影响因素，提出了一种基于误差反传（ＢＰ）神经网络的复合固体推进剂燃烧性能模拟计算方法，计算结果和实验值吻合较好，这为推进剂配方的计算机辅助设计提供了一种新方法。