电磁轨道炮轨道温度场与热应力数值仿真

在电磁轨道炮发射过程中,因热量累积而引起的急速温升与热应力对轨道性能和寿命有着重要的影响。为获得发射过程中轨道温度场及热应力分布情况,在分析轨道热载荷的基础上,建立了热载荷计算模型,并在给定的参数下,利用有限元仿真软件ANSYS Workbench对3种典型截面轨道的温度场与热应力进行了数值仿真。仿真结果表明:轨道温度场与热应力轴向上呈梯度分布,纵向上只扩散到内表面很薄的区域,温度与热应力最大值在电枢初始位置处;相较于矩形与凹形截面轨道,凸形截面轨道温升与热应力较低,性能较好。     

编队对地攻击航空武器系统对抗模型

建立了对抗情况下同类型机群对地攻击航空武器系统作战数学模型,给出对地攻击航空武器系统作战效能分析的总体指标,应用优化理论对对抗情况下对地攻击航空武器系统作战效能进行了优化分析与综合。其结果可用于对地攻击航空武器系统作战效能分析综合及系统设计中。     

Heuristics for the multi‐resource generalized assignment problem

The well‐known generalized assignment problem (GAP) involves the identification of a minimum‐cost assignment of tasks to agents when each agent is constrained by a resource in limited supply. The multi‐resource generalized assignment problem (MRGAP) is the generalization of the GAP in which there are a number of different potentially constraining resources associated with each agent. This paper explores heuristic procedures for the MRGAP. We first define a three‐phase heuristic which seeks to construct a feasible solution to MRGAP and then systematically attempts to improve the solution. We then propose a modification of the heuristic for the MRGAP defined previously by Gavish and Pirkul. The third procedure is a hybrid heuristic that combines the first two heuristics, thus capturing their relative strengths. We discuss extensive computational experience with the heuristics. The hybrid procedure is seen to be extremely effective in solving MRGAPs, generating feasible solutions to more than 99% of the test problems and consistently producing near‐optimal solutions. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 468–483, 2001     

Bayesian inference based on partial monitoring of components with applications to preventive system maintenance

Consider a binary, monotone system of n components. The assessment of the parameter vector, θ, of the joint distribution of the lifetimes of the components and hence of the reliability of the system is often difficult due to scarcity of data. It is therefore important to make use of all information in an efficient way. For instance, prior knowledge is often of importance and can indeed conveniently be incorporated by the Bayesian approach. It may also be important to continuously extract information from a system currently in operation. This may be useful both for decisions concerning the system in operation as well as for decisions improving the components or changing the design of similar new systems. As in Meilijson [12], life‐monitoring of some components and conditional life‐monitoring of some others is considered. In addition to data arising from this monitoring scheme, so‐called autopsy data are observed, if not censored. The probabilistic structure underlying this kind of data is described, and basic likelihood formulae are arrived at. A thorough discussion of an important aspect of this probabilistic structure, the inspection strategy, is given. Based on a version of this strategy a procedure for preventive system maintenance is developed and a detailed application to a network system presented. All the way a Bayesian approach to estimation of θ is applied. For the special case where components are conditionally independent given θ with exponentially distributed lifetimes it is shown that the weighted sum of products of generalized gamma distributions, as introduced in Gåsemyr and Natvig [7], is the conjugate prior for θ. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 551–577, 2001.     

A risk function for the stochastic modeling of electric capacity expansion

We present a stochastic optimization model for planning capacity expansion under capacity deterioration and demand uncertainty. The paper focuses on the electric sector, although the methodology can be used in other applications. The goals of the model are deciding which energy types must be installed, and when. Another goal is providing an initial generation plan for short periods of the planning horizon that might be adequately modified in real time assuming penalties in the operation cost. Uncertainty is modeled under the assumption that the demand is a random vector. The cost of the risk associated with decisions that may need some tuning in the future is included in the objective function. The proposed scheme to solve the nonlinear stochastic optimization model is Generalized Benders' decomposition. We also exploit the Benders' subproblem structure to solve it efficiently. Computational results for moderate‐size problems are presented along with comparison to a general‐purpose nonlinear optimization package. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:662–683, 2001     

一种齿轮箱振动控制方法

从机械结构的振动控制理论出发 ,提出了一种齿轮箱振动控制方法 ,研究并讨论几种齿轮箱箱体以及齿轮本体的结构参数对动态特性的影响 ,其结论可以为齿轮箱的振动设计提供参考依据     

拖缆系统直线定常运动仿真计算

推导了一个三因次拖缆系统动力平衡运动方程式 ,采用中心差分方法数值离散拖缆系统动力平衡方程 .根据离散方程编制了拖缆系统直线定常运动程序 ,在设定拖缆尾端自由边界条件及拖点边界条件下 ,数值仿真计算 30m拖缆的阵形 .根据仿真计算讨论了拖缆的材料刚度、拖缆水中重量、拖点速度、水动力系数主要参数等对拖缆阵形的影响 .拖缆系统直线定常运动的仿真计算为拖缆系统设计可提供参考依据 ,同时通过该仿真计算及讨论 ,为拖缆系统非定常运动仿真计算奠定了基础     

基于小波变换模极大值恢复的信号消噪方法

大多数的信号常具有某种奇异性 ,并携带有随机噪声 .首先回顾了信号奇异性与小波变换模极大值之间的关系 ,然后利用信号与噪声的Lipschitz指数的符号不同 ,在S .Mallat等人工作的基础上 ,给出了从信号中去除噪声的具体算法     

混合量化与基于小波的图像压缩

本文针对基于小波的图像压缩,提出一种新的快速有效的量化方法。该方法将矢量量化的高效率和标量量化的简单性有机地结合起来,称为混合量化（ＨＱ－ＨｙｂｒｉｄＱｕａｎ－ｔｉｚａｔｉｏｎ）。它不需要进行码书训练,不要做乘除法。并用标准测试图像与其它著名方法的压缩结果进行了比较。     

钢筋钢纤维混凝土既有裂缝梁中钢纤维阻裂作用有限元分析

通过建立钢筋钢纤维混凝土既有裂缝梁和钢筋混凝土既有裂缝梁的有限元分析模型,借助ANSYS分析了两种梁在荷载作用下的裂缝尖端处应力、裂缝宽度增幅和挠度并作出对比。分析结果表明钢纤维对裂缝开展有很好的阻止作用,而且能明显缓和裂缝尖端处应力,减小梁的挠度。