电阻渐变型结构吸波材料的研究与发展

结构吸波材料的发展建立在先进复合材料发展基础之上,融受力与吸波为一体,将新的吸波机制(如电阻片、电路模拟、手征媒质等)引入到结构吸波材料的研制中,可制备全新的结构吸波材料.电阻渐变型结构吸波材料具有优良的电结构可设计性,通过控制材料的类型(电介质或磁)、厚度、损耗系数及阻抗等,能够使雷达吸波材料具有宽频吸收效果,并可根据不同部位选择不同的结构形式,具有广阔的应用前景.     

试论英语句法转换的抽象表现形式

通过研究比较英语语句的聚合关系,解释了英语句法的内涵及其变化形式,揭示核心句和转换句之间的关系,描述了英语句法的抽象表现形式,将英国句法理论大师马修斯介绍给国内学者,从另外一个角度为国内学者研究句法理论提供参考。     

基于性能参数残差序列分析的发动机性能衰退研究

为研究发动机在使用过程中的性能衰退,提出了一种发动机部件性能参数残差序列分析方法。利用发动机模型进行发动机测量参数对部件性能参数的敏感度分析,优化选取充分表征发动机性能衰退的部件性能参数,建立性能参数多元线性回归模型,得到了性能参数的残差序列,通过对残差序列的统计量分析,成功地确定了发动机性能突变时刻,为发动机的维护起到了一定的指导作用。     

Assembly Variation Identification of High Pressure Spool by Response Surface Based Model Updating Using IV-optimal Designs

This article, in order to improve the assembly of the high-pressure spool, presents an assembly variation identification method achieved by response surface method (RSM)-based model updating using IV-optimal designs. The method involves screening out non-relevant assembly parameters using IV-optimal designs and the preload of the joints is chosen as the input features and modal frequency is the only response feature. Emphasis is placed on the construction of response surface models including the interactions between the bolted joints by which the non-linear relationship between the assembly variation caused by the changes of preload and the output frequency variation is established. By achieving an optimal process of selected variables in the model, assembly variation can be identified. With a case study of the laboratory bolted disks as an example, the proposed method is verified and it gives enough accuracy in variation identification. It has been observed that the first-order response surface models considering the interactions between the bolted joints based on the IV-optimal criterion are adequate for assembly purposes.     

基于神经网络的飞机极限数据专家系统

利用神经网络专家系统的方法时飞机飞行参数的极限允许值进行计算，可以使推理过程变得简洁、清晰，避免了常规方法在软件实现上的诸多缺点。同时，本文采用一种模糊规则方法对神经网络专家系统的推理行为进行描述，使得神经网络专家系统能够回答有关why和how的询问。以最大允许马赫数的计算为例，本文设计了用于该参数推理的神经网络专家系统．并给出了简单算例。     

偏好多属性决策表概率决策的扩展粗糙集方法

通过用优势关系代替不可分辨关系,并设定置信阈值α,提出了一种可以从偏好多属性决策表中发现偏好概率规则集的扩展粗糙集模型。该方法可以处理偏好多属性决策表中可能的不相容性,获取由偏好对象组成的偏好概率决策规则,设计了相应的算法。研究结果表明：由该方法获取的最小偏好概率规则集,使用的务件数量较少,且导出规则的数量较少、较强。     

Using a pressure controlled vortex design method to control secondary flow losses in a turbine stage

A turbine design method based on pressure controlled vortex design （PCVD） is presented to design a small-size turbine stage. Contrary to the conventional controlled vortex design （CVD） method, the main objective of PCVD is to control the axial velocity and radial pressure in the sta- tor rotor gap. Through controlling axial velocity, the PCVD establishes a direct tie to meridional stream surface. Thus stream surface variation is induced, resulting in a large secondary flow vortex covering the full blade passage in the respective stator and rotor. This secondary flow vortex could be dedicated to control the secondary flow mitigation and migration. Through radial pressure, the PCVD is also associated with the macroscopic driving force of fluid motion. So the better benefit of CVD can be achieved. The core concept behind PCVD is to mainly control the spanwise pressure gradient by altering profile loading at various spanwise locations. Therefore not only the local pro- file lift is affected, but also the resulting throat widths, stage reaction degree, and massflow rate are altered or redistributed respectively. With the PCVD method, the global stage efficiency is increased successfully while the mass flow rate keeps constant. Additionally there is no endwall shape optimization, stacking optimization, or pitch/chord variations, concentrating solely on varying blade profile deflections and stagger.     

一种基于粗糙集理论的粗糙神经网络构造方法

提出在BP神经网络中使用粗糙集理论网络的设计，由于粗糙集理论有强大的数值分析能力,而BP神经网络具有准确的逼近收敛能力和较高的精度，所以通过两者的结合，可以得到一种可理解性好，计算简单，收敛速度快的神经网络模型，这种神经网络的算法的主要过程为：首先利用粗糙集能力去发现给定数据集的一些规则，然后根据这些规则构造神经网络稳含层的神经元个数，最后用BP算法迭代求了网络的各种参数，完成网络的设计，本文最后给出了一个三维非线性函数的实例进一步验证了网络的正确性。     

空运油料容器地面模拟试验技术研究

空运油料容器地面模拟试验是验证飞机空运油料容器在正常飞行状态、紧急着陆时油料容器的结构强度是否满足设计要求的重要手段之一。针对试验中的碰撞波形控制技术、试验误差要求、软体油料容器的重心变化量等关键技术进行了探讨,为油料容器模拟试验方面的研究工作提供参考。     

基于偏差模型的导弹发射动力学仿真

基于偏差模型的导弹发射动力学仿真是根据偏差来源建立相应的偏差模型,将偏差力、力矩与标准状态下的受力叠加得到导弹实际受力,再进行运动状态的求解.这种基于偏差模型的仿真系统既能够单独分析各项干扰因素对发射精度的影响,还能够综合多项干扰进行数值打靶模拟分析.针对某舰载倾斜发射导弹,仿真分析了发射臂振动、推力偏心、导轨不平、舰船运动等干扰因素对初始扰动的影响,并进行了5 000次数值打靶统计分析.在给定的干扰概率分布条件下,命中概率达到93.86%.