Influence of multiple structural parameters on interior ballistics based on orthogonal test methods

Influence of multiple structural parameters on the performance of a gun launch system driven by high-pressure reactive gases is important for structural design and performance adjustment. A coupled lumped parameter model was utilized to predict the propellant combustion, and a dynamic finite element method was applied to approximate the mechanical interactions between the projectile and the barrel. The combustion and the mechanical interactions were coupled through a user subroutine interface in ABAQUS. The correctness and the capability of the finite element approximations in capturing small structural changes were validated by comparing predicted resistance with experiments. Based on the coupled model, the influence of structural parameters of a medium-caliber gun on the system performance was investigated. In order to reduce the research costs, orthogonal tests were designed to investigate the comprehensive effects of the parameters. According to statistical analysis, the important order of the structural parameters on the launching process was obtained. The results indicate that the influence of the width of the rotating band stands out among the studied parameters in the gun. The work provides a method to investigate the influence of multiple parameters on system performance and gives guidance for controlling the system performance.     

基于改进遗传粒子滤波与SME的多目标跟踪算法

针对基于对称量测方程的多目标跟踪,传统的滤波手段无法解决因对称变换带来的非高斯问题,提出一种新的遗传粒子滤波方法。新的滤波算法利用粒子的噪声含量与权值的负相关,改进了更新过程中权值计算所依赖的概率密度函数,避免了新量测噪声的求解。同时利用遗传算法的优势,保障了粒子的多样性,提高了粒子的使用效率,防止了滤波发散及局部最优。仿真结果表明,基于对称量测方程的多目标跟踪中,改进的遗传粒子滤波算法较扩展卡尔曼滤波算法、不敏卡尔曼滤波算法和联合概率数据关联滤波算法跟踪效果更好。     

狭长受限空间火灾临界可燃距离实验研究

油料洞库的安全一直是各级主管部门非常关心的问题。狭长受限空间是地下建筑及地下油料洞库的关键结构,针对狭长受限空间发生火灾能否持续燃烧问题,在公称直径分别为50mm、100mm、150mm和250mm的模拟狭长受限空间上,以柴油作为燃烧工质,置于尺寸、形状各异的3种油盘中,进行了系统实验研究与分析,证实了狭长受限空间临界可燃距离的存在,并在此基础上,提出了计算方法,得出一些有益的结论,对研究油料洞库消防新技术有一定的价值。     

基于CORBA的分布式网管的实现

以某师的网管系统为例 ,介绍了基于 CORBA ORB通信总线结构网管软件的设计与实现。并对其中的若干技术问题 ,如网管信息模型的建立、网管软件的安全性及本系统的不足进行了深入讨论     

The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

A heuristic for the two‐machine no‐wait openshop scheduling problem

In this paper the problem of minimizing makespan in a two‐machine openshop is examined. A heuristic algorithm is proposed, and its worst case performance ratio and complexity are analyzed. The average case performance is evaluated using an empirical study. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 129–145, 1999     

Openshop scheduling under linear resources constraints

Consider n jobs (J₁, …, J_n), m working stations (M₁, …, M_m) and λ linear resources (R₁, …, R_λ). Job J_i consists of m operations (O_i1, …, O_im). Operation O_ij requires P_k(i, j) units of resource R_k to be realized in an M_j. The availability of resource R_k and the ability of the working station M_h to consume resource R_k, vary over time. An operation involving more than one resource consumes them in constant proportions equal to those in which they are required. The order in which operations are realized is immaterial. We seek an allocation of the resources such that the schedule length is minimized. In this paper, polynomial algorithms are developed for several problems, while NP-hardness is demonstrated for several others. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 51–66, 1998     

结构方程模型参数估计的GME方法

提出应用广义最大熵的方法对结构方程模型的参数进行估计,该方法能够处理有限的或者不完全数据。为了验证广义最大熵方法在估计结构方程模型参数时的性能,采用了一个应用于美国顾客满意指数(ACSI)的结构方程模型生成仿真数据,仿真结果表明,与PLS相比,GME方法具有更高的拟合精度和较低的预测误差,在样本数据较少时,表现更为明显。     

空气深度预冷组合循环发动机吸气式模态建模及性能分析

针对空气深度预冷组合循环发动机——协同吸气式火箭发动机(Synergistic Air-Breathing Rocket Engine,SABRE),采用部件法对其进行建模,匹配计算得到吸气式模态下飞行走廊内其性能参数变化规律,并研究其高度速度特性。计算模型可信度较高,推力误差小于6%,能够较为准确地模拟SABRE吸气式模态的性能参数。结果表明:SABRE兼具火箭发动机大推力和航空发动机高比冲的特点,吸气式模态下比冲介于21 300~27 380 m/s,随着高度速度的增大,其推力比冲先增大后减小;SABRE利用预冷器将入口空气温度降低,可使其空域速域拓宽至25 km、5Ma,满足高超声速飞行的动力需求;发动机速度下限由压气机最大流量决定,速度上限则由氦气回路减压器工作限制条件决定。     

静电放电过程电荷量和能量分析

分别采用四指数表达式拟合的方法和数值计算求解双RLC人体静电放电（ESD）模型的方法得到了符合标准要求的ESD电流波形,计算这两种方法下各自的放电电荷量和放电电阻消耗的能量;测量空气式和接触式两种ESD模式下的放电电流波形,并分别计算放电电荷量和能量情况;通过比较得出,放电电荷量和放电电阻消耗的能量都能够超过放电前的3／4,用数值拟合的电流波形虽能满足四个关键参数的要求,但其它部分电流值偏大。