飞机座舱透明材料大气老化与使用老化当量关系的研究

根据 YB-3航空有机玻璃海南自然老化 1,2,3年后的疲劳寿命曲线和在东北沈阳 -鞍山地区飞行使用 5年后的疲劳寿命曲线,用疲劳强度降,建立了大气老化与使用老化两者的当量关系。并用 YB-2航空有机玻璃海南大气自然老化与南方飞行使用老化的数据,验证了建立的加速当量的正确性和准确性。     

航空发动机高压转子试验模型的动力学相似设计

为了获得能够替代航空发动机转子原型进行动力学试验的模型，提出了发动机转子系统试验模型的动力学相似设计方法。采用相似理论推导了转子系统缩比模型的动力学相似准则，继而建立缩比模型与原型的动力学相似关系。通过动力学优化方法对转子缩比模型的动力学等效模型进行修正，目标函数由固有频率、临界转速和振型组成。以双转子发动机高压转子系统的动力学相似设计为例，通过有限元仿真对设计方法的有效性进行了验证。结果表明，在设计转速范围内，动力学相似模型与原型的前两阶临界转速相似误差分别为3.92%和0.86%，对应振型的相关性均大于0.98，且模型与原型的模态应变能分布基本一致。通过该方法获得的动力学相似模型能够较好地预测原型的动力学特性，并有效降低模型试验的成本和难度。     

概率有限状态机在动态效能评估中的应用

为了反映作战过程中实时战场变化对武器作战效能的影响，本文对武器作战动态效能评估(DEE)方法进行研究，提出一种基于概率有限状态机(PFSM)的动态效能评估方法。利用该方法对武器作战过程进行动态效能评估的同时，能够快速准确地分析影响武器作战效能的关键因素，为作战方案决策及武器研发提供依据。该方法考虑了武器装备、战场环境、作战方案及作战目标这四个战场信息空间对武器效能的影响，能够根据实时战场信息输出动态效能变化曲线。本文以反舰导弹为例，对其进行动态效能评估，结果表明,本文所提出的方法能够动态评估不同战场信息对效能的影响，并快速找到影响其效能的关键因素，从而为作战方案优化提供参考。     

改进模拟退火算法的喷管动力学模型修正

为获得液体火箭发动机喷管高精度的结构动力学有限元模型，提出一种基于改进模拟退火算法（Improved Simulation Annealing Algorithm，ISAA）的有限元模型修正方法。首先，将复杂的薄壁夹层板喷管等效为复合材料层合壳，建立喷管的参数化有限元模型；在此基础上，以结构模态参数为参考基，构造出联合使用模态频率及模态振型的目标函数，并运用灵敏度分析提取设计变量，从而建立其优化模型；提出带记忆、局部搜索功能的改进模拟退火算法，运用ISAA在设计空间进行多目标全局寻优；最后，采用基于MSC Patran/Nastran软件平台二次开发的结构动力学模型修正软件ZDXZ V1.0进行模型修正，并对模型修正方法的有效性进行了校验。结果表明，修正后喷管的前3阶计算模态频率与试验值相对误差小于2%，振型相关性最小MAC值大于0.9，大大提升了喷管模型的动力学符合性，模型精度满足工程应用要求；表明所述模型修正策略的有效性，该方法具有高效、强鲁棒性等特点，适合于大型复杂结构的模型修正。     

Best practices for model-based and simulation-aided engineering of power transmission and motion control systems

This paper deals with the modelling and simulation of aircraft systems, in particular for power transmission and control. It is intended to review, propose and disseminate best practices for making model-based/simulation-aided engineering more efficient at any phase of the system life cycle. The proposals are aimed at creating value, not only by increasing the performance of the product under study but also by shortening the time to market, capitalizing knowledge, mitigating risks and facilitating concurrent engineering. The needs associated with the engineering activities are firstly identified to define a set of requirements for the models. Then, these requirements are used to drive the considerations leading to model development, focusing in particular on the process, modelled physical effects, modelling level, model architecting and concurrent engineering. The third part deals with the model implementation, giving special consideration to the different types of models, causalities, parameterization, implementation and verification. Each part is illustrated by examples related to safety critical actuators.     

Non-intrusive reduced-order model for predicting transonic flow with varying geometries

A Non-Intrusive Reduced-Order Model (NIROM) based on Proper Orthogonal Decomposition (POD) has been proposed for predicting the flow fields of transonic airfoils with geometry parameters. To provide a better reduced-order subspace to approximate the real flow field, a domain decomposition method has been used to separate the hard-to-predict regions from the full field and POD has been adopted in the regions individually. An Artificial Neural Network (ANN) has replaced the Radial Basis Function (RBF) to interpolate the coefficients of the POD modes, aiming at improving the approximation accuracy of the NIROM for non-samples. When predicting the flow fields of transonic airfoils, the proposed NIROM has demonstrated a high performance.     

全转速系数矩阵降维重构的燃机不平衡量逆推方法

整机动平衡可大幅提高燃气涡轮发动机动平衡效率，但由于全转速范围内整机系统动力特性复杂，且结构的特殊性仅能够在机匣外表面测振，传统动平衡方法难以实现整机动平衡。为此，考虑全转速区间整机系统结构振动特性及分布式不平衡量的影响，通过仿真或试验获得全转速范围内各测点振动响应与各叶盘不平衡量间的响应系数矩阵，建立等效不平衡量逆推方程组。依据不平衡位置-转速-测点振动间的敏感性关系对全转速系数矩阵进行降维重构，获得优选配平位置、测点及转速的重构方程组，求得转子配平位置的等效不平衡量。典型双转子燃气涡轮发动机整机系统数值仿真结果验证了该方法的有效性。研究结果对实现燃气涡轮发动机整机动平衡具有一定的参考应用价值。     

Reliability estimation of mechanical seals based on bivariate dependence analysis and considering model uncertainty

The reliability estimation of mechanical seals is of crucial importance due to their wide applications in pumps in various mechanical systems. Failure of mechanical seals might cause leakage, and might lead to system failure and other relevant consequences. In this study, the reliability estimation for mechanical seals based on bivariate dependence analysis and considering model uncertainty is proposed. The friction torque and leakage rate are two degradation performance indicators of mechanical seals that can be described by the Wiener process, Gamma process, and inverse Gaussian process. The dependence between the two indicators can be described by different copula functions. Then the model uncertainty is considered in the reliability estimation using the Bayesian Model Average (BMA) method, while the unknown parameters in the model are estimated by Bayesian Markov Chain Monte Carlo (MCMC) method. A numerical simulation study and fatigue crack study are conducted to demonstrate the effectiveness of the BMA method to capture model uncertainty. A degradation test of mechanical seals is conducted to verify the proposed model. The optimal stochastic process models for two performance indicators and copula function are determined based on the degradation data. The results show the necessity of using the BMA method in degradation modeling.     

卫星定轨综述

对卫星定轨中的热点问题作一综述,内容包括短弧定轨和长弧精密定轨。对于短弧定轨(通常指初轨),不仅从原理上分析其关键之处,还介绍如何将适用于无摄运动的特殊定轨方法推广用于同时考虑各种摄动的受摄运动,并可同时适用于圆锥曲线的各种情况：变化的椭圆轨道、抛物线轨道和双曲线轨道,后者在深空探测器的运动过程中将会遇到。对于长弧精密定轨,阐述当今提高精密定轨精度的力模型补偿问题以及几何定轨的提法,天地基网联合定轨和星-星相对测量的自主定轨问题。