新批评主义解析《夜莺颂》

为了充分了解诗人的写作意图,展现诗歌魅力。运用新批评主义的原则分析诗歌,解读诗人的写作技巧。诗人通过文本安排和文学技巧来实现自己写这首诗的真正用意,使读者领悟由诗歌来发现生活之美,生命之美。     

基于模糊TOPSIS的FMEA方法

针对传统故障模式及影响分析(FMEA)中评价故障模式的影响因素和计算风险优先数存在的缺陷,提出了一种基于模糊逼近理想解排序法(TOPSIS)的FMEA方法。该方法采用模糊置信结构对影响因素的评价进行表示,并通过去模糊化和加权平均建立明确置信矩阵。考虑各影响因素的权重对分析结果的重要性,将主、客观赋权法相结合来分配各影响因素的权重,进而建立加权规范化矩阵,根据相对贴近度的大小确定各故障模式的风险水平。最后,举例验证了该方法的可行性和有效性。      

RBCC发动机火箭-冲压模态理想热力循环优化分析

基于RBCC发动机工作原理,开展了特定燃烧组织模式下,RBCC发动机火箭-冲压模态的理想热力循环优化分析.根据火箭-冲压模态发动机工作特点,建立了工质热力循环过程模型,计算获得了最佳压缩点温度及其对应的最佳压缩比、最大循环功、热效率等参数.同时,给出了燃烧室最高温度、空燃比对最佳压缩比、最大循环功和热效率的影响规律,以及RBCC发动机热力循环的优化方向.研究结果表明,通过提高一级燃烧室最高温度、降低引射比、调整进气道压缩比至最佳压缩比等措施均可有效提高RBCC发动机最大循环功及循环效率.     

基于作战能力的飞机生存力模型及其综合权衡

针对现有模型在计算飞机主动自主防御下的生存力时存在不足,提出了一种新的飞机生存力计算模型.从攻防结合的角度分析了飞机-威胁-生存力-作战能力之间的相互联系,建立了包含作战能力的生存力计算模型,用算例验证了该模型的正确性和合理性.引入权重表示具体作战任务中对生存力和作战能力的不同需求,以武器投射距离为控制变量,采用逼近理想解的排序方法(TOPSIS,Technique for Order Preference by Similarity to Ideal Solution)对生存力-作战能力进行了多属性决策.结果表明:在一定的生存力和作战能力需求下,存在最佳的武器投射距离,该距离随生存力需求的不同而变化.此方法可用来指导实际作战计划的制定.      

Development cost prediction of general aviation aircraft using combined estimation technique

Obtaining accurate development cost estimation results of general aviation aircraft is crucial for companies to adopt the best strategy in the development process. To address this problem, this paper proposes a combination of three commonly used single prediction methods. The optimal weight values of the three single prediction methods are determined by utilizing the shortest ideal point method. Ten cost datasets collected from literature are utilized for fitting and testing the combined prediction method, and the weight coefficients of the three individual prediction methods are calculated as 0.6859, 0.0035 and 0.3106, respectively. The results of this study indicate that the developed method has better fitting and estimation accuracy than that of the three individual methods, with average fitting and predicting error values of 2.60% and 6.43%, respectively. Additionally, the cost data of military and civil aircraft development from literature are collected for verification. The results further confirm that the proposed method is not only superior to the single prediction methods in terms of high precision but has wider applications. More importantly, this research can provide important reference for general aviation aircraft companies in term of product cost planning and corporate sales strategies.     

空管灾害诱因分析及监测指标体系的构建

从操作人、空管设备、空管环境和管理的角度对空管的致灾诱因进行了详细分析。按照科学性、实用性、关联性和可操作性的原则,筛选出一组监测指标,在考虑空管行业数据来源的情况下,提出了现阶段和理想情况下的监测指标体系,目的在于通过对空管安全状态进行监测和诊断,及时采取预警和预控对策,促进空管系统处于安全状态,降低事故率。     

Fuzzy multi-criteria decision-making approach to prioritization of space debris for removal

As private companies and government space agencies begin to seriously consider the task of active space debris removal, it is becoming increasingly more important to determine the highest priority objects to deorbit. This work sets forth an approach for prioritization of space debris through the utilization of Multi-Criteria Decision-Making methodologies and fuzzy logic, as well as both quantitative and qualitative criteria. The proposed debris prioritization approach considers various criteria including the orbit, size, mass, pairwise and total collision probabilities, and decay timeframe of each debris object. The means of assigning attributes to each assessment criterion is discussed in detail. To determine the weighting scheme for the criteria, a questionnaire was prepared and shared with experts in the field of space situational awareness. The work examines over two thousand critical debris objects selected from the existing debris catalog with respect to these criteria. The quantified attributes for each debris object are then aggregated through the fuzzy versions of the Analytic Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution. The results of the analysis identify high-priority debris objects for removal from Earth-bound orbits.     

关于一般q-李代数的普遍包络代数 的研究

利用张量代数与一般q-李代数思想,研究了一般q-李代数的普遍包络代数U(Lq),以及它的泛性质,并且通过有序齐次基的引入,最终找到了U(Lq)的一组基。     

基于Φ函数的等熵膨胀过程数学模型

为了解决航空发动机总体性能计算中,主要的等熵膨胀过程数学模型中存在理想状态值的计算,使计算结果与实际值相比产生一定误差的问题.从过程效率定义式入手,推导出基于Φ函数的等熵膨胀过程数学模型.与基于熵的等熵膨胀过程数学模型以及带理想状态值计算的等熵膨胀过程数学模型的计算结果进行比较与分析之后,得出结论是：①基于Φ函数的等熵膨胀过程数学模型的应用可使计算精度得到提高;②基于Φ函数的等熵膨胀过程数学模型的应用较为简便,可以提高编程效率和计算效率.