涡轮盘低循环疲劳寿命概率分析

大量试验证明疲劳寿命符合对数正态分布,并且对数寿命标准差随应变水平降低而增大;在此基础上,引入对数寿命的线性标准差及标准正态随机变量μ,将Mason-Coffin公式随机化,疲劳性能参数均表示为μ的函数,建立了基于试验数据统计分析的概率寿命模型.对GH4133材料疲劳试验数据进行线性异方差回归分析,得到了疲劳性能参数的随机表达式及概率密度曲线,各参数并不服从正态分布或对数正态分布.应用该模型对某涡轮盘进行了低循环疲劳寿命可靠性分析,获得了轮盘寿命分布,对应最大概率和可靠度0.9987的寿命均与轮盘的试验分析相吻合.     

飞行器雷达隐身性能评估研究

考虑飞行器与雷达的对抗环境和相对位置关系,通过建立雷达的探测模型以及飞行器的雷达散射特性模型,初步构建了飞行器雷达隐身性能评估系统。该系统可以有效地计算RCS的不同而引起的发现概率及暴露距离的变化,从而可以定量地比较隐身性能的变化;还可以根据暴露距离或预警时间的要求,制定出满足该要求的RCS指标的取值,从而指导隐身飞机RCS指标的确定。对算例的计算分析表明,该系统的计算结果可信,具有一定的实用价值。     

大气层外动能拦截器末制导分析

以大气层外动能拦截器拦截战术导弹弹头为研究目的，建立了拦截器的六自由度运动学，动力模型，以及拦截器的轨控和资控发动机推力特性和控制模型。提出了修正比例导引律的实现方案，进行了末制导过程的仿真，并分析了影响脱靶量的一些因素。仿真结果表明，在轨控和姿控发动机的作用下，拦截器可以直接命中目标。     

元件强度可靠性的模糊概率计算模型

首先建立了元件强度可靠性分析时基本变量只具有随机性而元件的安全失效状态含有模糊性时,元件的模糊失效概率Ｐｇｆ计算模型,也称广义概率计算模型,在此模型中给出了两种方法,即基本随机变量法和综合随机变量法;然后给出了基本随机变量具有随机模糊性时元件的Ｐｇｆ的计算模型,此模型中不论元件的安全失效状态是否具有模糊性,Ｐｇｆ均可以表示成条件概率     

基于高斯混合概率假设密度滤波的扫描型光学传感器像平面多目标跟踪算法

高斯混合概率假设密度(GM-PHD)滤波是一种基于随机有限集理论的次优贝叶斯多目标跟踪方法,本文研究了该算法在扫描型光学传感器像平面的多目标跟踪问题.针对典型的锥扫模式和推扫模式,根据其扫描特性建立目标的运动模型和测量模型.介绍高斯混合概率假设密度滤波的基本原理.针对原算法在强杂波环境中的低效率问题,借鉴传统多目标跟踪...     

考虑应力比的疲劳裂纹扩展概率模型

考虑到应力比对疲劳裂纹扩展速率的影响及裂纹扩展的分散性,在Paris公式基础上,提出了一种考虑应力比的疲劳裂纹扩展概率模型;运用非线性函数线性化原理给出概率模型参数的求解方法;通过该概率模型和曲面,可从宏观上把握应力比对裂纹扩展的影响规律及得到任意应力比下的概率疲劳裂纹扩展速率曲线;对30CrMnSiNi2A钢试验数据的处理及分析验证了该模型的有效性和实用性.      

Estimation method for random sonic fatigue life of thin-walled structure of a combustor liner based on stress probability distribution

As to the sonic fatigue problem of an aero-engine combustor liner structure under the random acoustic loadings,an effective method for predicting the fatigue life of a structure under random loadings was studied.Firstly,the probability distribution of Von Mises stress of thin-walled structure under random loadings was studied,analysis suggested that probability density function of Von Mises stress process accord approximately with two-parameter Weibull distribution.The formula for calculating Weibull parameters were given.Based on the Miner linear theory,the method for predicting the random sonic fatigue life based on the stress probability density was developed,and the model for fatigue life prediction was constructed.As an example,an aero-engine combustor liner structure was considered.The power spectrum density(PSD) of the vibrational stress response was calculated by using the coupled FEM/BEM(finite element method/boundary element method) model,the fatigue life was estimated by using the constructed model.And considering the influence of the wide frequency band,the calculated results were modified.Comparetive analysis shows that the estimated results of sonic fatigue of the combustor liner structure by using Weibull distribution of Von Mises stress are more conservative than using Dirlik distribution to some extend.The results show that the methods presented in this paper are practical for the random fatigue life analysis of the aeronautical thin-walled structures.     

高密度内埋空空导弹战斗部优化设计

空空导弹破片战斗部对空中运动目标的单发杀伤概率模型存在不足,精确计算其单发杀伤概率,并对导弹战斗部主要参数进行优化设计,对战斗部的总体设计和提高战斗部效能具有重要意义。在分析战斗机要害部位特性的基础上,根据战斗部对运动目标的杀伤机理,分别建立单枚破片对目标的击穿模型、引燃模型和冲击波杀伤模型;基于所建立的战斗部条件杀伤概率模型,采用多指标单目标粒子群优化算法对战斗部的装填系数、破片数量、单枚破片质量、破片静态飞散角和破片静态飞散方向角五个主要参数进行优化设计。结果表明:优化不仅改善了高密度内埋空空导弹单发杀伤效能,而且减小了战斗部的质量。研究结果可为新型战斗部设计提供参考。     

基于乏信息失效数据的可靠性评估方法

基于乏信息失效数据,提出了机械产品可靠性的最大熵评估模型.根据可靠性经验值公式,获得失效数据的可靠性经验值向量,并逆推出离散失效频率向量即获得统计直方图;基于区间映射的牛顿迭代方法获得具有最大熵的概率密度函数,对其积分获得失效概率分布函数,进而得到可靠性估计真值函数.仿真案例和试验案例研究证明该方法可以很好地评估已知分布的可靠性并有效地解决只有失效数据而没有概率分布任何先验信息的可靠性评估问题.在寿命给定时,最大熵方法获得的可靠性取值与已知分布获得的可靠性取值之间的差值非常小仅为3.40%.      

A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities

As the key part of Prognostics and Health Management (PHM), Remaining Useful Life (RUL) estimation has been extensively investigated in recent years. Current RUL estimation studies considering the intervention of imperfect maintenance activities usually assumed that maintenance activities have a single influence on the degradation level or degradation rate, but not on both. Aimed at this problem, this paper proposes a new degradation modeling and RUL estimation method taking the influence of imperfect maintenance activities on both the degradation level and the degradation rate into account. Toward this end, a stochastic degradation model considering imperfect maintenance activities is firstly constructed based on the diffusion process. Then, the Probability Density Function (PDF) of the RUL is derived by the convolution operator under the concept of First Hitting Time (FHT). To implement the proposed RUL estimation method, the Maximum Likelihood Estimation (MLE) is utilized to estimate the degradation related parameters based on the Condition Monitoring (CM) data, while the Bayesian method is utilized to estimate the maintenance related parameters based on the maintenance data. Finally, a numerical example and a practical case study are provided to demonstrate the superiority of the proposed method. The experimental results show that the proposed method could greatly improve the RUL estimation accuracy for the degrading equipment subjected to imperfect maintenance activities.