A MODEL FOR THE RELIABILITY ANALYSIS OF STRUCTURE UNDER RANDOM STRESS RANGE LOADINGS（RDCDR MODEL）

ＡＭＯＤＥＬＦＯＲＴＨＥＲＥＬＩＡＢＩＬＩＴＹＡＮＡＬＹＳＩＳＯＦＳＴＲＵＣＴＵＲＥＵＮＤＥＲＲＡＮＤＯＭＳＴＲＥＳＳＲＡＮＧＥＬＯＡＤＩＮＧＳ（ＲＤＣＤＲＭＯＤＥＬ）ＡＭＯＤＥＬＦＯＲＴＨＥＲＥＬＩＡＢＩＬＩＴＹＡＮＡＬＹＳＩＳＯＦＳＴＲＵＣＴＵＲ...     

STUDIES ON AIRCRAFT TOTAL ENERGY FLIGHT CONTROL SYSTEM：NONLINEAR SYSTEM INTEGRATION AND SIMULATION

ＳＴＵＤＩＥＳＯＮＡＩＲＣＲＡＦＴＴＯＴＡＬＥＮＥＲＧＹＦＬＩＧＨＴＣＯＮＴＲＯＬＳＹＳＴＥＭ：ＮＯＮＬＩＮＥＡＲＳＹＳＴＥＭＩＮＴＥＧＲＡＴＩＯＮＡＮＤＳＩＭＵＬＡＴＩＯＮＷｕＳｈｕｆａｎ；ＳｈｅｎＹｏｎｇｚｈａｎｇ；ＧｕｏＳｕｏｆｅｎｇ（Ｄｅｐｔ...     

NUMERICAL SIMULATION OF THE FLOW PAST WING-BODY USING EULER EQUATIONS

ＮＵＭＥＲＩＣＡＬＳＩＭＵＬＡＴＩＯＮＯＦＴＨＥＦＬＯＷＰＡＳＴＷＩＮＧ－ＢＯＤＹＵＳＩＮＧＥＵＬＥＲＥＱＵＡＴＩＯＮＳＮＵＭＥＲＩＣＡＬＳＩＭＵＬＡＴＩＯＮＯＦＴＨＥＦＬＯＷＰＡＳＴＷＩＮＧ－ＢＯＤＹＵＳＩＮＧＥＵＬＥＲＥＱＵＡＴＩＯＮＳ￥Ｃｈｅｎ...     

DYNAMIC STABILITY AND ACTIVE CONTROL OF ELASTIC VEHICLES WITH UNSTEADY AERODYNAMIC FORCES MODELING

ＤＹＮＡＭＩＣＳＴＡＢＩＬＩＴＹＡＮＤＡＣＴＩＶＥＣＯＮＴＲＯＬＯＦＥＬＡＳＴＩＣＶＥＨＩＣＬＥＳＷＩＴＨＵＮＳＴＥＡＤＹＡＥＲＯＤＹＮＡＭＩＣＦＯＲＣＥＳＭＯＤＥＬＩＮＧＤＹＮＡＭＩＣＳＴＡＢＩＬＩＴＹＡＮＤＡＣＴＩＶＥＣＯＮＴＲＯＬＯＦＥＬＡＳＴ...     

NUMERICAL STUDY OF TOPOLOGICAL STRUCTURE OF 3-D TRANSONIC VISCOUS FLOW FIELD (TVFF) INSIDE TURBINE CASCADE

ＮＵＭＥＲＩＣＡＬＳＴＵＤＹＯＦＴＯＰＯＬＯＧＩＣＡＬＳＴＲＵＣＴＵＲＥＯＦ３ＤＴＲＡＮＳＯＮＩＣＶＩＳＣＯＵＳＦＬＯＷＦＩＥＬＤ（ＴＶＦＦ）ＩＮＳＩＤＥＴＵＲＢＩＮＥＣＡＳＣＡＤＥＧｕｏＹａｎｈｕ，ＳｈｅｎＭｅｎｇｙｕ，ＷａｎｇＢａｏｇｕｏ（Ｄｅ...     

STUDY ON THERMAL EXPANSION COEFFICIENT AND DESIGN FOR ZERO－EXPANSION OF SlNGLE AND HYBRID MULTI－DIRECTIONA

ＳＴＵＤＹＯＮＴＨＥＲＭＡＬＥＸＰＡＮＳＩＯＮＣＯＥＦＦＩＣＩＥＮＴＡＮＤＤＥＳＩＧＮＦＯＲＺＥＲＯ－ＥＸＰＡＮＳＩＯＮＯＦＳｌＮＧＬＥＡＮＤＨＹＢＲＩＤＭＵＬＴＩ－ＤＩＲＥＣＴＩＯＮＡＬＣＯＭＰＯＳＩＴＥＳＺｈｏｎｇＷｅｔｈｏｎｇ；ＺｈａｎｇＺｕｏ...     

STOCHASTIC BOUNDARY ELEMENT METHODS FOR 3－D PROBLEMS WITH CENTRIFUGAL FORCES AND RELIABILITY ANALYSIS

ＳＴＯＣＨＡＳＴＩＣＢＯＵＮＤＡＲＹＥＬＥＭＥＮＴＭＥＴＨＯＤＳＦＯＲ３－ＤＰＲＯＢＬＥＭＳＷＩＴＨＣＥＮＴＲＩＦＵＧＡＬＦＯＲＣＥＳＡＮＤＲＥＬＩＡＢＩＬＩＴＹＡＮＡＬＹＳＩＳ￥ＷｅｎＷｅｉｄｏｎｇ；ＳｕｎＸｉａｏｌｉｎｇ（ＮａｎｊｉｎｇＵｎｉｖｅ...     

EFFECT OF SOLIDIFICATION RATE ON MICRO－STRUCTURES OF DIRECTIONALLYSOLIDIFIED SUPERALLOY DZ22

ＥＦＦＥＣＴＯＦＳＯＬＩＤＩＦＩＣＡＴＩＯＮＲＡＴＥＯＮＭＩＣＲＯ－ＳＴＲＵＣＴＵＲＥＳＯＦＤＩＲＥＣＴＩＯＮＡＬＬＹＳＯＬＩＤＩＦＩＥＤＳＵＰＥＲＡＬＬＯＹＤＺ２２ＬｉｕＺｈｏｎｇｙｕａｎ；ＬｉＪｉａｎｇｕｏ；ＳｈｉＺｈｅｎｇｘｉｎｇ；ＦｕＨｅｉｉ...     

ANALYSIS OF SHEAR STRESS DISTRIBUTION IN HONEYCOMB AIRCRAFT WING STRUCTURE SUBJECTED TO (S.T.) TORQUE

ＡＮＡＬＹＳＩＳＯＦＳＨＥＡＲＳＴＲＥＳＳＤＩＳＴＲＩＢＵＴＩＯＮＩＮＨＯＮＥＹＣＯＭＢＡＩＲＣＲＡＦＴＷＩＮＧＳＴＲＵＣＴＵＲＥＳＵＢＪＥＣＴＥＤＴＯ（Ｓ．Ｔ．）ＴＯＲＱＵＥＫｈａｌｉｄＭ．Ｔａｈｉｒ，ＺｈａｎｇＸｉｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＦ...     

RELIABILITY ANALYSIS METHODFOR STRUCTURAL STIFFNESS

ＲＥＬＩＡＢＩＬＩＴＹＡＮＡＬＹＳＩＳＭＥＴＨＯＤＦＯＲＳＴＲＵＣＴＵＲＡＬＳＴＩＦＦＮＥＳＳＬｕＺｈｅｎｚｈｏｕ；ＦｅｎｇＹｕａｎｓｈｅｎｇ（Ｄｅｐｔ．ｏｆＡｉｒｃｒａｆｔＥｎｇｉｎｅｅｒｉｎｇ，ＮｏｒｔｈｗｅｓｔｅｒｎＰｏｌｙｔｅｃｈｎｉｃａｌＵ...     

解结构可靠性问题的改进分层抽样法

通过引入探索性仿真 ,克服了合理确定各子层系统抽样概率预分配的困难 ;提出了几种实用有效的分层方法 ,对分层策略和仿真策略进行了深入的研究。通过求解具体问题 ,证实对求解概率积分相当有效 ,特别是对高度非线性安全边界问题 ,具有一般方法所不具备的高精度 ,该方法适于解决多破坏模式、非线性安全边界的结构体系可靠性问题     

结构系统可靠性及可靠性灵敏度分析的改进子集模拟法

在再生自适应子集模拟(RASS)法的基础上,提出了一种改进的再生自适应子集模拟(MRASS)法以用于结构系统的可靠性及可靠性灵敏度分析。MRASS法继承了RASS法中马尔可夫链再生、延迟拒绝、自适应马尔可夫过程及分量各自采样等优点,并改进了自适应采样过程。MRASS法通过对产生的样本点的接受率与最佳接受率进行比较,有针对性地寻找合适的建议分布方差,提高了抽样的效率。工程算例的数值结果表明:MRASS法相比于RASS法及传统的子集模拟(SS)法,在处理具有高维随机变量、小失效概率及高度非线性特点的结构系统时,有更好的适应性、稳健性及精度。     

航空发动机限寿件疲劳可靠度计算新方法

针对目前的航空发动机限寿件（ELLP）疲劳可靠性分析中的小失效概率事件以及其极限状态函数具有较强非线性的特点，提出了一种具有自更新机制的半径外自适应重要抽样（AUMCROAIS）疲劳可靠性分析方法。该方法首先利用蒙特卡罗自适应重要抽样（MCAIS）快速逼近真实设计验算点（MPP）附近，随后以近似设计验算点为中心进行极坐标抽样，并依次构造主动学习函数，对近极限状态函数和抽样半径进行最优选取，从而实现最优抽样半径的更新，通过不断的更新确定出最优抽样半径，加速失效概率计算的收敛。本方法提高了设计验算点的收敛速度同时保证了计算精度，解决了小失效概率事件以及强非线性极限状态函数可靠度计算难题，最后以某型发动机压气机轮盘为对象应用本方法，并与传统的蒙特卡罗仿真（MCS）方法、蒙特卡罗半径外自适应重要抽样法（MCROAIS）和一阶可靠性方法（FORM）进行了对比，验证了本方法的高效率、鲁棒性和仿真精度。     

Neural Networks Combined with Importance Sampling Techniques for Reliability Evaluation of Explosive Initiating Device

Concerning the issue of high-dimensions and low-failure probabilities including implicit and highly nonlinear limit state function, reliability analysis based on the directional importance sampling in combination with the radial basis function (RBF) neural network is used, and the RBF neural network based on first-order reliability method (FORM) is to approximate the unknown implicit limit state functions and calculate the most probable point (MPP) with iterative algorithm. For good efficiency, based on the ideas that directional sampling reduces dimensionality and importance sampling focuses on the domain contributing to failure probability, the joint probability density function of importance sampling is constructed, and the sampling center is moved to MPP to ensure that more random sample points draw belong to the failure domain and the simulation efficiency is improved. Then the numerical example of initiating explosive devices for rocket booster explosive bolts demonstrates the applicability, versatility and accuracy of the approach compared with other reliability simulation algorithm.     

某型发动机无失效数据的Bayes可靠性分析

在定时截尾试验中,有时会遇到无失效数据,特别是在高可靠性、小样本问题中更容易产生无失效数据。对某型发动机的无失效数据,在失效概率服从不完全Beta分布时,给出了失效概率的Bayes估计,并在引进失效信息后,给出了失效概率的Bayes估计和综合估计,从而可以得到该型发动机可靠度的估计。     

基于神经网络的机械系统可靠性评价模型

机械系统相关失效的存在,严重地削弱了冗余结构的安全作用。从系统层的应力强度—干涉模型出发,通过Monte-Carlo仿真不同冗余系统的各阶失效概率,获得失效数据。利用BP神经网络算法的函数逼近功能、非线性映射功能和容错能力对系统相关失效概率模型进行离散化处理,建立系统失效概率与零件失效数据之间的非线性关系,进而构建基于神经网络的机械系统可靠性评价的参数化模型。利用该模型可以预测系统中的任意阶相关失效概率。实例给出其应用方法并与实验结果进行对比,表明该方法准确可靠。     

小失效概率情况下的全局可靠性灵敏度分析的高效方法

针对目前很多算法都无法准确、高效地计算小失效概率（10^-4,甚至更小）情况下的全局可靠性灵敏度问题,本文提出了一种高效求解小失效概率情况下的全局可靠性灵敏度新算法。所提算法通过扩大标准差构造重要抽样密度函数来进行空间分割（SP）,再与无迹变换（UT）结合,利用函数在分割后的子空间内非线性程度的降低和无迹变换方法可以高效计算低非线性程度函数的前二阶矩,来高效准确地计算小失效概率情况下的全局可靠性灵敏度。所提算法的优点有：重要抽样密度函数的选择可以使得空间分割时向重要区域偏移,并且在分割区域内功能函数的复杂性被降低,从而可以利用无迹变换方法高效计算失效概率,进而高效求得全局可靠性灵敏度。与已有的算法相比,算例说明了本文所提方法的优势。     

纤维缠绕复合材料结构可靠性评估方法及其应用

为了更加科学有效地评估纤维缠绕复合材料结构的可靠性,根据复合材料渐进失效特点,应用结构系统可靠性理论和方法,将复合材料视为连续体的结构系统,基于复合材料有限元模型对"单元"和"系统"进行了定义,构建了概率渐进失效分析的基本流程,提出了主要失效序列和结构整体的失效概率的精确解算式和近似计算方法.为解决复杂结构系统主要失效...     

A novel method for importance measure analysis in the presence of epistemic and aleatory uncertainties

For structural systems with both epistemic and aleatory uncertainties, research on quantifying the contribution of the epistemic and aleatory uncertainties to the failure probability of the systems is conducted. Based on the method of separating epistemic and aleatory uncertainties in a variable, the core idea of the research is firstly to establish a novel deterministic transition model for auxiliary variables, distribution parameters, random variables, failure probability, then to propose the improved importance sampling(IS) to solve the transition model. Furthermore,the distribution parameters and auxiliary variables are sampled simultaneously and independently;therefore, the inefficient sampling procedure with an ‘‘inner-loop' for epistemic uncertainty and an‘‘outer-loop' for aleatory uncertainty in traditional methods is avoided. Since the proposed method combines the fast convergence of the proper estimates and searches failure samples in the interesting regions with high efficiency, the proposed method is more efficient than traditional methods for the variance-based failure probability sensitivity measures in the presence of epistemic and aleatory uncertainties. Two numerical examples and one engineering example are introduced for demonstrating the efficiency and precision of the proposed method for structural systems with both epistemic and aleatory uncertainties.     

同时考虑基本变量和失效域模糊性的广义失效概率数字计算方法

针对基本变量和失效域均具有模糊性的广义可靠性分析问题,提出了一种基于模拟退火优化的高效数字计算方法。在数字模拟的过程中,由模拟退火优化的Metropolis准则逐渐优化提取样本的重要抽样密度函数。由于基本变量和失效状态均含有模糊不确定性,因此所提算法在构造重要抽样函数时考虑了两个因素的影响,其一是基本变量的等价联合概率密度函数,其二是状态变量对模糊失效域的隶属函数,从而使得对广义失效概率贡献大的样本出现的概率较大,提高了抽样效率和计算精度。所提算法在模拟退火逐渐寻优的过程中,充分利用了过程中的信息,进一步提高了计算的效率,算例的结果也表明本文所提方法是合理可行的。