碳纤维/双马来酰亚胺复合材料修复性能

为了得到碳纤维/双马来酰亚胺复合材料最佳修复效果,采用碳纤维/环氧复合材料和环氧胶膜作为修复材料,对带Φ15 mm和Φ5 mm预制孔碳纤维/双马来酰亚胺复合材料进行单面贴补、双面贴补和单面阶梯挖补修复。研究了补片长度、厚度和铺层顺序对修复效果的影响,并结合修复试样的拉伸断裂模式,优化了修复参数。结果表明:补片边缘母板中存在的应力集中和厚度方向拉伸应力是导致母板断裂的关键原因;双面贴补修复试样拉伸强度能恢复到完好试样的90%以上,单面贴补和阶梯挖补修复试样拉伸强度能恢复到完好试样的80%以上。     

有限维修能力下多级保障系统装备时变可用度评估及保障方案优化

备件库存和站点维修能力是影响备件维修周转的重要因素，制约装备使用效果。针对备件需求随任务阶段动态变化的装备保障方案评估和优化问题，考虑站点维修能力对备件维修过程的影响，结合METRIC建模方法和动态排队理论，建立了有限维修能力下多级保障系统装备时变可用度评估模型。在评估模型基础之上，以保障费用为优化目标，装备可用度为约束条件，建立了任务期内多级保障系统保障方案优化模型。以任务期内的最低可用度所对应的备件短缺数为观测值，分析了各项资源的边际效益值，采用边际优化算法对各项资源进行优化计算。算例分析表明，评估模型能够计算多级保障系统任务期内各阶段装备可用度；保障方案优化模型和方法能够得到各项保障资源的优化配置方案。提出的模型和优化方法能够为装备保障人员制定合理的保障方案提供决策支持。     

坦克装甲车辆火控技术的现状及发展

对坦克火控系统的技术现状和发展前景进行了较为详尽的论述,并指出了当前国内火控发展中面临的主要技术难题及解决办法.     

Fabrication of AA7005/TiB2-B4C surface composite by friction stir processing: Evaluation of ballistic behaviour

The present work aims to enhance the ballistic resistance of AA7005 alloy by incorporating the TiB₂ and B₄C ceramic reinforcement particles. Surface composites with different weight fractions of TiB₂ and B₄C particles were processed by friction stir processing. Micro-hardness and depth of penetration tests were carried out to evaluate the ballistic properties of the surface composites. The surface hardness of the composite was found to be nearly 70 HV higher than base alloy. The depth of penetration of the steel projectile was 20–26 mm in the composites as compared to 37 mm in the base alloy. Ballistic mass efficiency factor of the surface composite was found to be 1.6 times higher than base alloy. This is mainly attributed to the dispersion strengthening from the reinforcement particles.     

TiO_2/ACF复合光催化材料的制备及性能

用适宜载体将粉体材料固定是提高光催化材料稳定性的关键。采用溶胶-凝胶法,以钛酸丁酯为原料,选取活性炭纤维(ACF)为载体,制备了TiO2/ACF复合光催化材料。利用X射线衍射仪(XRD)、热分析仪(DSC-TG)和扫描电子显微镜(SEM)等测试技术对复合光催化材料的结构进行了表征分析。在紫外光照射下,通过对甲醛气体的光催化降解,考察了煅烧温度、煅烧时间、负载次数和负载时间等不同制备条件对复合光催化材料结构和性能的影响,结果表明:当煅烧温度为400℃,煅烧时间为2h,负载3次,负载时间为6min制备的TiO2/ACF光催化性能最佳。     

碳纤维增强聚合物基复合材料频率选择表面的电磁传输特性

为了避免采用金属频率选择表面制备的天线罩中存在的热残余应力和弱黏接界面等问题,采用与聚合物基复合材料罩壁结构相容性好的碳纤维增强聚合物基复合材料制备频率选择表面,利用自由空间法对试样的电磁传输性能进行测试,并采用数值分析模型对碳纤维复合材料频率选择表面的电磁传输机制和电磁传输影响因子进行分析。结果表明:碳纤维复合材料频率选择表面具有频率选择功能,但谐振频率处的电磁传输损耗较大;通过改变复合材料频率选择表面的单元缝隙率、厚度、电导率以及介电常数可以实现对其电磁传输性能的调节。     

尾座式电动飞机复合材料机翼结构优化设计

以复杂地形地区物资快速投送平台设计为背景,开展尾座式电动飞机复合材料机翼设计研究。对机翼结构载荷进行分析,对机翼结构构件布置和铺层进行设计,形成复合材料机翼结构设计方案。建立复合材料机翼结构有限元模型,开展典型工况条件下的静力分析,得到机翼结构变形、应力和Tsai-Wu失效因子分布。采用分步优化策略,以机翼结构铺层厚度和铺层角度为设计变量,开展机翼结构质量优化计算,优化结果表明,优化后的机翼结构在满足强度和刚度要求下质量减轻约47.77%,可为尾座式电动飞机结构设计提供重要参考。     

分层土中桩筏基础荷载分担

结合一个桩筏联合基础的设计过程,探讨了在复杂地基土上基础设计中的受力分析及变形协调计算过程.介绍了在满足复合地基承载力和变形要求前提下合理布置桩筏联合基础的做法及其设计思路.布置桩筏联合基础时使桩筏分别落在不同土层上,以充分利用不同深度地基土的承载力;另外针对桩下为非淤泥系硬土层,应最大限度利用桩身强度和天然地基承载力.该做法可以取得很好的经济效益,可供工程设计人员参考.     

复合材料单面胶接修复含中心裂纹铝合金板的疲劳特性分析

利用ANSYS有限元分析软件,建立了复合材料单面胶接修复铝合金裂纹板的裂纹长度参数化的有限元模型,分析了修复结构的裂纹尖端应力强度因子及其变化幅值的规律;与试验测试结果相结合,得到了描述修复结构疲劳特性的Paris公式材料常数;碳纤维、玻璃纤维复合材料胶接修复铝合金裂纹板的材料常数C、m分别为6.76×10-10、2.27和7.89×10-10、2.33。     

Transient analysis of Markov models of fault‐tolerant systems with deferred repair using split regenerative randomization

The (standard) randomization method is an attractive alternative for the transient analysis of continuous time Markov models. The main advantages of the method are numerical stability, well‐controlled computation error, and ability to specify the computation error in advance. However, the fact that the method can be computationally very expensive limits its applicability. In this paper, we develop a new method called split regenerative randomization, which, having the same good properties as standard randomization, can be significantly more efficient. The method covers reliability‐like models with a particular but quite general structure and requires the selection of a subset of states and a regenerative state satisfying some conditions. For a class of continuous time Markov models, model class C₂, including typical failure/repair reliability‐like models with exponential failure and repair time distributions and deferred repair, natural selections are available for both the subset of states and the regenerative state and, for those natural selections, theoretical results are available assessing the efficiency of the method in terms of “visible” model characteristics. Those results can be used to anticipate when the method can be expected to be competitive. We illustrate the application of the method using a large class C₂ model and show that for models in that class the method can indeed be significantly more efficient than previously available randomization‐based methods. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006