基于遗传算法的军事物流运输计划

针对军事物流运输中车辆装载和车辆路径的组合问题进行研究,建立车辆装载和车辆路径组合问题的目标优化模型。通过改进遗传算法对模型求解,得到了较为满意的结果,可以在满足多车型多品种货物配送约束的条件下,实现运输车辆最少、车辆满载率高、车辆运输路径最短的目标。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

小不对称物体配平性能风洞实验研究

用阶跃响应法,在风洞中测量小不对称物体配平性能的实验原理、实验装置、数据处理及部分实验结果。 模型支承于空气静压轴承。在模型内部设有电磁机构,在一次吹风中,可以阶跃方式多次提供不对称量。由高精度、非接触的感应同步器数字测量模型俯仰角变化历程。用修正Newton-Raphson法处理数据,求出小不对称量引起的配平角δ_o、俯仰力矩C_mo和气动刚度C_ma、气动阻尼C_mq等参数。 对11°斜切锥,钝度比分别为0.06及0.16的模型进行了风洞实验。实验M数为33.5和4。实验结果表明,所采用的实验原理、设备及方法可提供较好的精度及分辨率。实验还求出了配平性能(δ_o,C_mo)以及C_ma,C_mq随M数的变化。     

航空软件配置管理系统设计和关键技术研究

从军工软件配置管理的需求出发,结合国军标的开发库、受控库和产品库的三库配置管理体系,阐述某自主知识产权的＂航空软件配置管理系统＂的总体设计思路,指出该配置管理系统实现的关键技术为软件配置库的存储设计方法和文件的增量存储和差异比较技术。说明系统软件配置库的存储设计思路和方案,采用编辑图和贪心算法实现文件的增量存储和差异比较技术的解决方案。总结系统的特点和优点,说明系统下一步发展及扩充的几个方向。     

运动基航天飞行模拟器信号缩比策略

对于大幅值的输入信号,三阶多项式缩比法易产生信号畸变且参数配置复杂;而Hermite缩比函数法的触发速度较慢.提出两种改进的缩比方法:基于三阶多项式缩比法的最优参数配置法和加入线性缩比的非线性缩比法.前一种方法通过参数的优化配置最大化稳定区,以防止信号的畸变;后一种方法则利用线性缩比的特性将缩比度限制在稳定区内.仿真结果表明:线性缩比的加入可以防止三阶多项式缩比法信号的畸变;最优配置参数法应用方便且整体效果较好.为航天飞行模拟提供了更有效的缩比策略.     

长矩形盒零件超塑性胀形工艺加载规律的优化

本文通过对长矩形盒零件的力学解析，得到了优化加载规律的数学表达形式。按此规律进行气压胀形，与恒压胀形实验结果相比，能有效地提高成形极限，并使厚度分布情况有明显的改善。     

薄壁内、外半管冲压成形工艺参数模拟优化设计

针对内、外半管的结构特点,分析计算冲压成形主要工艺参数及毛坯尺寸,运用有限元分析软件ANSYS/LS-DYNA,对内、外半管的成形过程进行了模拟。研究了不同压边力及不同冲压速度对零件拉深成形的影响,分析了零件的成形工艺及其起皱缺陷,优化了毛坯形状,避免了成形过程中的缺陷,获得了理想的毛坯形状和工艺参数。     

复杂可修系统效能中可信度矩阵的构造方法

复杂可修系统可信度建模对保证效能的定量分析至关重要.本文在考虑不同维修状况的基础上,着重对不同任务剖面内相应任务阶段中武器装备可信度进行了深入的定量分析和综合,进而构造出武器装备的可信度矩阵,用于武器装备的效能分析;文中以某地面车辆为例,进一步论证了武器装备可信度矩阵的工程含义,旨在为合理确定一大类武器装备的效能和可信度指标提供理论依据.     

多任务在轨服务模块化智能航天器技术研究

首先介绍了在轨服务技术的分类及国内外近期研究进展,结合各国已开展项目的验证情况,分析了在轨服务模式、适应多任务在轨服务航天器的发展思路。为适应卫星发射和在轨服务的任务需要,提出了多任务服务航天器的方案设想,以期降低在轨服务操作的难度,提升在轨服务系统执行多任务的能力。最后初步分析了用于演示验证任务的服务航天器总体参数及任务规划。     

Optimization of entry-vehicle shapes during conceptual design

During the conceptual design of a re-entry vehicle, the vehicle shape and geometry can be varied and its impact on performance can be evaluated. In this study, the shape optimization of two classes of vehicles has been studied: a capsule and a winged vehicle. Their aerodynamic characteristics were analyzed using local-inclination methods, automatically selected per vehicle segment. Entry trajectories down to Mach 3 were calculated assuming trimmed conditions. For the winged vehicle, which has both a body flap and elevons, a guidance algorithm to track a reference heat-rate was used. Multi-objective particle swarm optimization was used to optimize the shape using objectives related to mass, volume and range. The optimizations show a large variation in vehicle performance over the explored parameter space. Areas of very strong non-linearity are observed in the direct neighborhood of the two-dimensional Pareto fronts. This indicates the need for robust exploration of the influence of vehicle shapes on system performance during engineering trade-offs, which are performed during conceptual design. A number of important aspects of the influence of vehicle behavior on the Pareto fronts are observed and discussed. There is a nearly complete convergence to narrow-wing solutions for the winged vehicle. Also, it is found that imposing pitch-stability for the winged vehicle at all angles of attack results in vehicle shapes which require upward control surface deflections during the majority of the entry.