自增强厚壁圆筒残余应力分布规律研究

以火炮身管自增强处理为背景 ,根据炮钢材料实际的拉伸—压缩试验曲线和性能参数 ,将Bauschinger效应系数和强化效应系数作为加载阶段产生的相当塑性应变的函数 ,对厚壁圆筒自增强处理产生的残余应力分布规律进行了理论分析和实验研究。     

Repairable consecutive‐k‐out‐of‐n: F system with Markov dependence

In this article, a model for a repairable consecutive‐k‐out‐of‐n: F system with Markov dependence is studied. A binary vector is used to represent the system state. The failure rate of a component in the system depends on the state of the preceding component. The failure risk of a system state is then introduced. On the basis of the failure risk, a priority repair rule is adopted. Then the transition density matrix can be determined, and the analysis of the system reliability can be conducted accordingly. One example each of a linear and a circular system is then studied in detail to explain the model and methodology developed in this paper. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 18–39, 2000     

光纤制导导弹技术发展概述

通过光纤制导导弹 (FOG- M)的工作原理和应用前景 ,论述光纤制导武器的独特优势、关键技术、干扰技术及其解决问题的途径等     

土质边坡工程风险分析

扼要地阐述了边坡工程事故引发的原因和边坡工程体系包含的不确定因素,从自然、社会、经济、管理等方面对这些因素进行了归纳,介绍了安全评估的故障树分析法以及由顶事件概率求底事件概率的计算公式.从技术的角度对土质开挖边坡工程体系进行了研究,建立了边坡工程故障树模型以及在此模型下边坡工程风险事件发生概率Pf的计算方法.在求解风险损失的过程中分析了传统专家调查法存在的不足,从而提出改进的专家调查法.通过工程实例,定性和定量地对边坡工程风险进行了分析,利用风险分级体系对风险的大小进行评价,为边坡工程风险管理提供了一定的依据.     

空袭模式的进化与防护技术的发展

通过分析空袭兵器、空袭历史、防空体系和防护技术的发展,将空袭模式划分为防区内(低空)地毯式打击、防区内(中低空)多手段打击、防区外陆海空三位一体精确打击三代。将防护体系划分为"边陲墙壕烽火台+腹地城池"、"防空系统+防护工程"两代。并预测了第四代空袭模式:防区外陆海空天四位一体全球快速精确打击和与之相对应的第三代"防空反导+信息化防护工程"防护体系。根据打击力和防护力相生相克的矛盾运动,提出了末端防护工程应吸收信息技术、发展综合防护技术,信息化时代的防护工程不仅要保护可以转入地下的目标,而且要保护无法转入地下的目标。从源头上为陆基目标防护的研究和建设提供参考和启迪。     

装备研制项目技术风险评估模型

建立了装备研制项目技术风险评估模型,并用系统分析的方法,实现了对技术风险的动态评估,并以示例进行了验证.     

火灾自动报警系统应用技术的现状

介绍当前我国火灾自动报警系统应用技术的现状,分析存在的主要问题和缺陷,展望我国火灾自动报警系统未来的发展方向.     

卫星激光防护技术

从两方面探讨轨道卫星激光防护技术.介绍卫星光电探测器激光防护设计原理及新型防护技术.对提高卫星结构材料的抗激光损伤能力提出几种实用方法.     

Balancing and optimizing a portfolio of R&D projects

A mathematical formulation of an optimization model designed to select projects for inclusion in an R&D portfolio, subject to a wide variety of constraints (e.g., capital, headcount, strategic intent, etc.), is presented. The model is similar to others that have previously appeared in the literature and is in the form of a mixed integer programming (MIP) problem known as the multidimensional knapsack problem. Exact solution of such problems is generally difficult, but can be accomplished in reasonable time using specialized algorithms. The main contribution of this paper is an examination of two important issues related to formulation of project selection models such as the one presented here. If partial funding and implementation of projects is allowed, the resulting formulation is a linear programming (LP) problem which can be solved quite easily. Several plausible assumptions about how partial funding impacts project value are presented. In general, our examples suggest that the problem might best be formulated as a nonlinear programming (NLP) problem, but that there is a need for further research to determine an appropriate expression for the value of a partially funded project. In light of that gap in the current body of knowledge and for practical reasons, the LP relaxation of this model is preferred. The LP relaxation can be implemented in a spreadsheet (even for relatively large problems) and gives reasonable results when applied to a test problem based on GM's R&D project selection process. There has been much discussion in the literature on the topic of assigning a quantitative measure of value to each project. Although many alternatives are suggested, no one way is universally accepted as the preferred way. There does seem to be general agreement that all of the proposed methods are subject to considerable uncertainty. A systematic way to examine the sensitivity of project selection decisions to variations in the measure of value is developed. It is shown that the solution for the illustrative problem is reasonably robust to rather large variations in the measure of value. We cannot, however, conclude that this would be the case in general. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 18–40, 2001     

突发重大疫情风险管理支撑方法研究【专题】

突发重大疫情后,科学的风险管理方法可为有效规避和控制风险提供有力支撑。在突发重大疫情风险管理中,风险识别是基础,风险评估是核心,风险控制是目的。本文系统梳理与分析了风险管理中的常用方法,包括风险识别中的现场勘查法、事故树分析法、过程回溯法、专家认证法和案例分析法等5种方法,风险评估中的风险坐标图法、关键风险指标法、蒙特卡罗法、因果关系法和综合评价法等5种方法,以及风险控制决策中的成本收益决策法、决策树法和损失期望值决策法等3种方法,并对每种方法如何在此次由新型冠状病毒引发的突发重大疫情中实践应用进行了举例说明,可为今后在应对突发重大疫情时进行科学风险识别、有效风险评估和精准风险控制决策提供借鉴与参考。