一种基于叶盘结构几何失谐的降阶分析方法

叶片几何失谐严重影响叶盘结构的振动特性。为了准确且高效地对存在叶片几何失谐的叶盘结构进行振动分析,基于扇区建模方法,由动力学方程推导出降阶模型的表达式,利用该降阶方法对整个几何失谐叶盘结构分别进行模态分析和受迫响应分析,并与有限元方法进行固有频率和受迫响应结果的对比。结果表明:该降阶方法得到的结果与有限元方法得到的结果基本一致,验证了该方法的有效性和实用性。     

天然气氧化特性的实验与数值计算

在流动管反应器中对压力为0.1 MPa、温度范围为500~1 850 K、当量比分别为0.5、1.0与3.5的工况条件下天然气（90%甲烷/7%乙烷/3%丙烷，体积分数）的氧化过程进行了实验测试。同时，通过全局敏感性分析方法，构建了天然气的简化反应动力学机理（38组分和149反应），并对天然气的氧化特性进行了数值计算。结果表明：随着当量比增大，燃料发生氧化反应的起始温度与终止温度逐渐升高，CO生成与消耗完全对应的反应温度逐渐升高，NO的生成量逐渐降低。天然气的简化反应机理可以很好地预测天然气氧化过程中主要组分摩尔分数随温度变化的整体趋势；但是在C₃H₈、C₂H₂、NO、NO₂的起始反应温度或摩尔分数峰值的预测上与相应实验值存在差异。     

An information-volume-based distance measure for decision-making

D-S evidence theory, as a general framework for reasoning with uncertainty, allows combining pieces of evidence from different information sources to derive a degree of belief function that is a type of fuzzy measure. However, the mass assignments given by unknown information sources are disordered. How to measure the difference between the mass assignments has aroused people’s interest. In this paper, inspired by the information volume, a novel distance-based measure is proposed to measure the difference between mass assignments. The method can refine the uncertain information given by experts and compare the refined information to obtain the difference between mass assignments. At the same time, it is verified that the measure not only meets the properties of distance, but also proves the superiority of the proposed Information Volume Distance (IVD) through simulation experiments. Meanwhile, in the process of information fusion, the reliability of each source could be quantified through IVD. Therefore, based on IVD, a new multi-source information algorithm is proposed to solve the problem of multi-source information fusion. Moreover, algorithm is applied to decision-making problem and compare with other methods to verify the effectiveness.