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.     

自适应复合材料薄壁梁形状控制

针对翼面和桨叶等升力面结构,以单闭室薄壁梁为典型结构模型,讨论自适应复合材料薄壁梁的弯曲和扭转,探讨控制结构形状的途径     

航空发动机涡轮盘榫槽的形状优化设计

给出了航空发动机涡轮盘榫槽的形状优化设计的数学模型,并用参变量评价函数法对该数学模型进行等价转换。用基于两点累积信息的原／倒变量展开的对偶优化方法ＤＥＯＲＣＴ对该问题进行求解。算例验证了本文思想及方法的正确性。     

混杂复合材料层合板抗冲击性能研究

为了探究复合材料层合板在实际应用中因承受冲击载荷而造成的结构安全问题,本研究采用实验和仿真相结合的方法,首先探究冲头形状对复合材料层合板损伤机理的影响,然后结合不同冲击能进一步揭示层合板的承载力和能量吸收变化规律。结果表明,相同冲击能下,层合板的损伤范围和承载力随着圆锥头、半球头、平头依次增加;相应的层合板的临界穿透能量随着圆锥头、半球头、平头依次增大;冲头形状和冲击能对层合板的吸能能力有较大的影响。     

参数曲线形状修改

提出一种新的、基于余弦伸缩函数、针对参数曲线的形状修改与变形方法。首先定义了特殊的伸缩函数 ,在此基础上构造了形状算子矩阵 ,其次将该矩阵与伸缩中心及主方向结合构造出两种变形矩阵 ,最后用变形矩阵去乘待变形曲线在局部坐标系下的位置向量 ,或用它乘以给定向量场再加待变形曲线在原坐标系下的位置向量从而产生变形效果。伸缩函数含有若干可变参数 ,每个参数可产生不同的形状修改效果 ,比如控制被修改部分与未修改部分间的连续阶 ,容易得到理想的变形效果。理论分析实例表明该方法在几何造型 ,计算机图形学等领域有潜在适用性。     

复杂构型金属橡胶毛坯铺设路径规划

基于金属橡胶毛坯自动化铺设工艺,对遗传算法进行合理改进,进行了复杂构型金属橡胶毛坯铺设的定位销优化设计和路径规划。针对定位销优化设计和路径规划问题,建立了改进的编码、交叉、变异算子,并提出评价因子对遗传算法的迭代过程进行评价。优化的定位销排布和铺设路径可以较好地实现复杂构型金属橡胶毛坯铺设,铺设10层时,优化路径对应的目标函数b的值比经验路径小54%,路径规划作用显著。单层路径规模对铺设效果影响较小;单层路径规模不同时,毛坯内部接触状态随着铺设螺旋卷长度的增加趋于一致。为复杂构型金属橡胶毛坯铺设提供了理论依据。      

基于超椭圆方程和序列响应面法的回转壳开孔形状优化

含有多种功能开孔的轻质回转壳结构是航空航天结构系统内的常用支撑构件,其开孔形状直接影响结构的静动态性能。以回转壳结构为对象,基于超椭圆方程和坐标映射变换推导了回转壳开孔边界的参数化表达,开展了开孔形状动力学优化研究。为提高结构优化计算的精度、效率和收敛性,提出了准等弧长方法和基于均匀设计的序列响应面近似建模方法(SRSM),以分别实现空间超椭圆曲线的精确逼近、减少结构有限元分析成本和加快迭代收敛。以非支配排序遗传算法Ⅱ(NSGA-Ⅱ)作为响应面模型求解算法,结合有限元分析构建了回转壳开孔形状优化设计流程,开展了最大化结构一二阶频率带隙的典型回转壳结构开孔形状优化设计。结果表明,基于超椭圆方程和序列响应面法的开孔优化方法获得了有效改进结构动态特性的回转壳开孔形状,对开展计算耗时工程结构形状优化设计具有一定应用价值。     

双U型管束模型换热器的流动和传热特性

为了研究双U型管束模型换热器的流动和传热性能,通过低速高温风洞的模型实验和Fluent-CFD数值计算,得到了换热器的管型和安装角对换热器压降和回热效率的影响规律。结果表明:在相同的双U型管管内气流平均流动速度下,椭圆管换热器的管内流动压降高于圆管换热器的,相对增加幅度在50%~60%之间;对于外部流动,换热器安装角度增大所诱导的外部流动压降显著增加,在换热器30°的安装角下,椭圆形管束的低阻流动型面得以充分体现,其外部流动压降较圆形管束换热器可以降低约50%;随着换热器安装角的增加,换热器回热效率具有明显的提高;相对换热器安装角,换热器管型对回热效率的影响较小,集气管的进气-出气方式对双U型管束换热器的回热效率具有较显著的影响。     

Stochastic processes for line shapes and intensities

Stochastic processes provide flexible and fast calculations for modeling dynamical interactions between an atom and charged particles. We use a stochastic renewal process for the plasma microfield being the cause of Stark broadening. The accuracy and improvement possibilities of Lyman profiles calculations with a renewal process are analyzed by comparing to ab initio simulations for ion broadening only. Stochastic processes may also be applied to out of equilibrium plasmas. We present our first results for the effect of Langmuir waves on a line broadened by electrons only, and for the changes of atomic populations submitted to strong temperature fluctuations.     

基于编队形状的反舰导弹预定目标选择模型特点

相比传统的预定目标选择方法,基于编队形状的反舰导弹预定目标选择方法是一类新方法。为了便于进一步研究具体算法,需要研究基于编队形状的反舰导弹预定目标选择模型的特点。该类方法的实质是将目标选择问题转化为点集匹配问题,因而文章从点集的信息来源、点集之间的变换关系、点集之间的映射关系、点集之间的距离函数等方面分析了模型特点,并根据这些特点将基于编队形状的反舰导弹预定目标选择算法分为2类：即基于迭代收敛的预定目标选择算法和基于变换位置集合的预定目标选择算法。