一种基于承载效率准则的复合材料机翼结构布局优化方法(英文)

提出一种针对大型复合材料机翼结构的二级布局优化策略。系统级根据结构形变调整设计指标,子系统级优化结构布局以满足系统级约束。将机翼壁板中各种临界失效载荷的接近程度作为评判结构效率的标准,通过将结构效率作为优化目标,保证了所求解问题的连续性。加筋壁板通过等效的正交异性板模拟,并根据能量原理预测总体失稳载荷。讨论了加强筋支持弹性对于蒙皮抵抗局部失稳性能的影响,并通过神经网络代理模型对其进行逼近。采用解析模型对失效特性做出评估,减少了计算资源的占用。最后以一种大型机翼结构的综合优化作为算例,计算结果满足设计要求,验证了该方法的可行性。     

Six sigma robust design optimization for thermal protection system of hypersonic vehicles based on successive response surface method

Lightweight design is important for the Thermal Protection System(TPS) of hypersonic vehicles in that it protects the inner structure from severe heating environment. However, due to the existence of uncertainties in material properties and geometry, it is imperative to incorporate uncertainty analysis into the design optimization to obtain reliable results. In this paper, a six sigma robust design optimization based on Successive Response Surface Method(SRSM) is established for the TPS to improve the reliability and robustness with considering the uncertainties. The uncertain parameters related to material properties and thicknesses of insulation layers are considered and characterized by random variables following normal distributions. By employing SRSM, the values of objective function and constraints are approximated by the response surfaces to reduce computational cost. The optimization is an iterative process with response surfaces updating to find the true optimal solution. The optimization of the nose cone of hypersonic vehicle cabin is provided as an example to illustrate the feasibility and effectiveness of the proposed method.     

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。     

导弹发射装置的总体设计方法

Anew method in system design of ejecting devices of missiles is first presented.Some important points are dis-cussed,which guid the research and development of new ejecting devices of missileg,amd provid the foundation flr thw design of mew ejecting device is provided.The system design includes the distribution of techmology specifica-tion,3-D solid modeling of ejecting devices of missiles im-ported from abroad,the design of pmeumatic device sys-tem,the design of ejecting mechanism system,the predic-tion of reliability and the experimental analysis,etc.     

基于零控脱靶量的拦截器轨控发动机优化设计

为提高动能拦截器变轨拦截能力,考虑目标与拦截器相对距离、相对速度等因素,构建了拦截器零控脱靶量、轨控发动机内弹道、发动机质量与尺寸等优化模型,将遗传算法和Powell算法相结合进行轨控发动机不确定性优化设计.应用算例表明,采用优化设计后的轨控发动机,拦截器可修正的最大零控脱靶量至少提高17.9%,不确定性因素的影响更加明确,为动能拦截器总体优化设计提供了参考.      

基于视觉注意力分配的飞机驾驶舱人机界面布局优化

以优化飞机驾驶舱人机界面布局设计为目的,提出了一种基于飞行员视觉注意力分配的布局优化模型。首先分析了计算机辅助三维交互应用软件(Computer aided three-dimensional interactive application,CATIA)中的可视域分析模块,给出不同视野区域的可视性等级,并对驾驶舱人机界面所在的视野范围进行栅格化处理;然后用G1法分析人机界面上各个设备的重要程度,并给予定量赋值;最后建立以飞机驾驶舱人机界面布局的视觉注意分配达到最优为目标函数的优化模型,并引入带有惯性权重的粒子群算法进行模型的求解。利用飞机模拟驾驶舱的人机界面布局为例,进行模型验证,结果表明该模型具有一定的可行性。     

浅谈基于IPDT的民用飞机重量控制技术

在民机研制过程中,有效地实施重量控制对于项目的成功非常关键。飞机超重不仅会导致设计和运营成本的增加,也将无法实现既定的商载和航程等设计指标。从各部门与重量控制工作的联系出发,结合某型民用飞机的设计实践,介绍了产品联合研发团队(IPDT)模式下重量控制的工作内容、工作流程和常用的减重方法,为民机的重量控制工作提供借鉴和参考。     

带时间窗的飞机排班问题优化

为提高飞机排班质量,在以航空公司成本最小化为目标的基础上,兼顾顾客的满意度（航班准时性）和飞机使用数目最小化目标,建立优化的多目标带有时间窗的飞机排班问题模型。结合算例,对三个目标函数都进行处理后,运用粒子群优化算法进行求解,最终得出模型解的运算结果和时间都在理想范围之内,表明新模型有效可行。该模型的建立有助于有效地解决带有时间窗的飞机排班问题,提高排班工作效率。     

二元推力矢量喷管导流管的设计研究

针对某型飞机进行二元推力矢量改装时对发动机出口的气流进行过渡转换的问题,设计了喷管导流管,将导流管气流截面由圆形过渡到长方形。本文利用有限元软件PATRAN对导流管进行了应力强度分析和变形分析,得出导流管的应力分布场和变形位移场,通过对不同厚度的导流管的分析计算得出导流管最大应力和最大位移随管壁厚度变化曲线,从而确定最佳的管壁厚度。研究了导流管最大应力和最大位移沿轴向的变化曲线,并对导流管的结构进行了优化设计,给出两种优化设计方案,得到较为理想的结构。     

Improved NSGA-II Multi-objective Genetic Algorithm Based on Hybridization-encouraged Mechanism

To improve performances of multi-objective optimization algorithms, such as convergence and diversity, a hybridization- encouraged mechanism is proposed and realized in elitist nondominated sorting genetic algorithm （NSGA-Ⅱ）. This mechanism uses the normalized distance to evaluate the difference among genes in a population. Three possible modes of crossover operators--＂Max Distance＂, ＂Min-Max Distance＂, and ＂Neighboring-Max＂--are suggested and analyzed. The mode of ＂Neighboring-Max＂, which not only takes advantage of hybridization but also improves the distribution of the population near Pareto optimal front, is chosen and used in NSGA-Ⅱ on the basis of hybridization-encouraged mechanism （short for HEM-based NSGA-Ⅱ）. To prove the HEM-based algorithm, several problems are studied by using standard NSGA-Ⅱ and the presented method. Different evaluation criteria are also used to judge these algorithms in terms of distribution of solutions, convergence, diversity, and quality of solutions. The numerical results indicate that the application of hybridization-encouraged mechanism could effectively improve the performances of genetic algorithm. Finally, as an example in engineering practices, the presented method is used to design a longitudinal flight control system, which demonstrates the obtainability of a reasonable and correct Pareto front.