基于信息-决策影响因素的兰彻斯特作战模型?

为有效评估信息因素和决策因素对现代作战进程的影响,改进了传统的兰彻斯特方程作战模型,通过引入信息获取能力指数和筹划决策能力指数,建立了基于信息-决策影响因素的兰彻斯特作战模型,并分3种假设情况进行了仿真。仿真结果表明,该作战模型一定程度上反映了信息因素和决策因素对作战的影响,体现了现代作战的基本致胜机理。     

基于概念建模的情报分析方法

通过对作战对手战术战法类情报进行概念建模,为此类情报分析工作提供新的思路。这种基于概念建模的情报分析方法,可为情报人员限定信息搜寻范围,明确搜寻重点,减少工作量,将碎片化的原始情报信息较为快捷地转化为可高效应用的情报资源,服务于作战仿真、技术研究、试验训练等军事领域。     

复杂海战场环境下AUV全局路径规划方法

针对无人自主水下航行器(Autonomous Underwater Vehicle,AUV)在复杂海战场环境中路径规划时环境模型复杂、约束条件多的情况,建立了包括战场地形、敌方威胁、障碍物和海流场等在内的比较完善的海战场环境模型.以AUV航行时间、威胁时间最短为优化目标,给出了一种基于振荡型入侵野草优化(Invasiv...     

润滑脂氧化安定性的伏安法测定

应用伏安法测定了润滑脂中的抗氧剂含量,研究了润滑脂的氧化安定性和储存安定性与抗氧剂含量的关系。发现润滑脂在储存过程中抗氧剂的消耗是有规律的,开始阶段抗氧剂消耗较慢,一定时间后抗氧剂消耗突然加快,这一结果为指导润滑脂储存提供了科学依据。     

非局部弹性杆固有频率的Ritz法求解

采用Ritz法求解了非局部弹性直杆的固有频率问题。非局部弹性理论与经典弹性理论相对应,区别在于非局部理论中,一点的应力与该点以及其周围区域的应变都有关,并采用核函数来表征这种相关性。基于Eringen提出的非局部弹性模型,针对三种给定核函数,用Ritz法进行了直杆的动力学分析。并针对两种边界条件给出直杆的固有频率,与其它方法比较,该方法具有可以针对多种核函数求解,精度可控,易于编程等优点。     

液体火箭发动机无失效条件下的可靠性分析方法

针对液体火箭发动机热试车过程中可能出现的无失效情况,在对寿命分布进行分析的基础上,利用配分布曲线-最小二乘法,采用经典估计和Bayes估计作为先验分布,对液体火箭发动机无失效条件下的可靠性进行了评估,并对评估结果进行了分析。计算结果表明,采用最小二乘法结合Bayes估计,可以较好评估液体火箭发动机在无失效条件下的可靠性。     

基于气动-弹道一体化模型的飞行器外形优化设计

为提升飞行器气动外形优化设计效果,研究了新型飞行器在大空域、宽速域范围的气动适应性问题,提出一种基于气动-弹道一体化模型的外形优化设计方法.通过考虑气动和弹道的耦合作用,综合利用类型函数/形状函数转换技术、气动工程估算方法和Radau伪谱法,建立飞行器气动-弹道一体化模型.基于该模型,通过明确优化目标和约束条件,给出基...     

Damage assessment of the target area of the island/reef under the attack of missile warhead

Under the background of vigorously developing facilities of island/reef in the world, the economic value and strategic significance of the island/reef have become increasingly important. Unfortunately, they may easily become the attacking target of missiles in the war time. Therefore, aiming at the damage quantification of the targets in the island/reef under the missile attacking, a macroscopic damage assessment model for the target area is proposed in this paper. The model focuses on the construction of the assessment model framework. Firstly, the analytic hierarchy process and the grey relational analysis are applied to measure the importance of each target in the region through four indicators of the target hazard, striking urgency, damage advantage and mission relevance, respectively. Secondly, based on the damage mechanism of shock wave and fragments to target, the corresponding damage model is established, and the damage grade of each target in the evaluated area is obtained according to the damage criteria and grading standard. Finally, the model obtains the overall damage grade of the target area by employing the fuzzy comprehensive evaluation method, with synthesizing the importance and the damage grade of each target. Through the verification of an example, it demonstrates the certain feasibility of the model and provides a certain basis and reference for the subsequent research.     

Maximizing deviation method for multiple attribute decision making under q-rung orthopair fuzzy environment

Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete.     

Effect of nano powder (Al2O3-CaO) addition on the mechanical properties of the polymer blend matrix composite

This work describes the preparation and study of the properties of composite nanoparticles prepared by the sol-gel method which consists of two materials (Al₂O₃-CaO), and study the effect of these nanoparticles on the mechanical behavior of a polymer blend (EP 4% + 96% UPE). The powder was evaluated by X-ray diffraction analysis, scanning electron microscopy analysis (SEM), particle size analysis, and energy dispersive X-ray analysis (EDX). The mechanical behavior of the composite material was assessed by tensile test, bending test and hardness test. The evaluation results of the composite nanoparticles showed good distribution of the chemical composition between aluminum oxide and calcium oxide, smoothness in particles' size at calcination in high and low temperatures, formation of different shapes of nanoparticles and different (kappa and gamma) phases of the Al₂O₃ particles. The results of mechanical behavior tests showed marked improvement in the mechanical properties of the resulted composite material, especially at 1.5%, compared with polymer blend material without nano powder addition. The tensile properties improved about (24 and 14.9) % and bending resistance about (23.5 and 16.8) % and hardness by (25 and 22) % when adding particles of size (63.8 and 68.6) respectively. Therefore, this reflects the efficiency of the proposed method to manufacture the nanocomposite powder and the possibility of using this powder as a strengthening material for the composite materials and using these composite materials in bio applications, especially in the fabrication of artificial limbs.