A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.     

New constitutive relation for eddy viscosity models

A new turbulent constitutive relation was directly derived from Boussinesq's hypothesis and mixing length theory, and then implemented in the standard k-ε model. The performance of this constitutive relation was validated in zero pressure gradient flat-plate boundary layer flow, fully-developed turbulent channel flow and separated flow in a plane asymmetric diffuser. The investigation demonstrated that, this new constitutive relation gave very accurate results in the former two basic cases and provided significant improvement in prediction of separated and reattachment points in the plane asymmetric diffuser. Separation and reattachment points at x/H=7.5 and 29 were calculated accurately in comparison to experimental results, and the static pressure coefficient of 0.82 was very close to large eddy simulation calculation. These results are very encouraging but further verification and extensive application of the new constitutive relation to other two-equation eddy viscosity model are needed.      

基于对偶四元数的捷联惯导算法在发射点惯性系下的应用研究

针对导弹类载体在做复杂的高动态机动时,采用传统的捷联惯导算法容易产生圆锥误差与划船误差,从而导致解算精度降低的问题,在发射点惯性系下设计了基于对偶四元数的捷联惯导算法.在建立发射点惯性系下的捷联惯导解算模型的基础上,详细推导了基于对偶四元数的捷联惯导解算算法,通过对比分析其中的速度更新过程与传统算法的差异,说明该算法可...     

故障模拟多功能振动试验台的设计

提出了一种多功能振动试验台的设计方案,可模拟多种转动机械振动状况,配置数据采集分析系统,通采集、分析安装在试验台上的传感器信号,可对转子的振动情况进行测量。模拟转子动平衡、不对中、轴承故障等实验,便于技术诊断人员、科研实验人员进行转子多种振动和轴承故障的测试实验,也适合对相关技术人员进行教学培训工作。     

由喷嘴连接的燃烧室到供应系统压力振荡传递过程研究

为了研究在压力振荡由液体火箭发动机燃烧室传递到供应系统的过程中喷嘴所起的作用,从理论上分析了压力振荡由燃烧室到供应系统通过喷嘴的传递过程,推导了振荡传递过程的传递函数.讨论带有各种喷嘴的供应系统的动态特性,对供应系统管路长度、燃烧室压强、喷嘴种类、喷嘴压降及喷嘴结构尺寸对燃烧室压力振荡引起供应系统压力振荡的影响进行了计算,得到了喷嘴以及工况参数在传递过程中的影响规律.      

航空发动机数控系统多故障识别

提出了一种基于模糊逻辑的航空发动机数控系统多故障的识别方法.首先采用Takagi-Sugeno(T-S)模糊模型描述一种涡喷发动机数控系统的非线性模型,然后应用全解耦奇偶方程进行多故障的检测和隔离,并结合卡尔曼滤波器识别出传感器和执行器故障参数.仿真结果表明,针对传感器和执行器同时发生故障的情况,此方法能有效检测故障,并能准确识别出故障参数.      

运输类飞机型号合格审定试飞中的湿跑道试飞

对运输类飞机型号合格审定中的湿跑道试飞进行了详细分析讨论。对比国内外相关规章、标准和其他资料,给出了湿跑道的判断准则,分析了湿跑道试飞的条件,重点分析和论述了加速-停止距离、起飞距离和起飞滑跑距离两个湿跑道试飞科目。所做工作对于运输类飞机湿跑道试飞具有指导和参考意义。     

不同拓扑结构喷嘴内交叉射流的数值研究

利用CFD软件对五种不同拓扑三维燃料—空气快速混合喷嘴进行了数值计算;应用两相流模型和RNGk-ε湍流模型,描述了快速混合喷嘴内两相流动过程。计算得出5种拓扑燃料—空气交叉射流喷嘴中湍流强度分布、总压损失系数、在流向方向各个截面温度分布和出口径向温度分布、出口速度分布和出口径向质量分布系数。通过对这些数据的分析,结果表明,射流下游添加肋结构可以有效增强混合气的快速形成,肋添加越多,对燃料的破碎和燃料—空气的混合越有利。     

基于拓扑优化的飞机垂尾设计

提出改变传统的机翼设计方式,引入拓扑优化的方法对飞机垂尾进行结构优化设计,根据设计要求对其进行模拟仿真,找出最佳传力路径,并根据该路径找出垂尾的最佳结构形式;同时在优化设计过程中,采用了形状优化等对其进行二次优化：对拓扑优化的结果进行完善,得到更合理的材料布局形式,意在将结果推广到三维的实际设计当中,并得到更广泛的应用。     

气液同轴喷嘴缩进室动态特性均相流模型

采用频率法对气液同轴喷嘴缩进室内气液两相流动态特性进行了分析.采用均相流模型,在把液相介质参数看作集中参数的条件下讨论了缩进室边界压降振荡对液相质量流量振荡的动态响应.通过对模型喷嘴算例编程进行计算,结果表明:随着扰动频率的增加,缩进室两端压降振荡的振幅增大,压降振荡与液体流量振荡之间的相位差也增大.较小长径比的缩进室以及较小的液体喷嘴质量流量、大气液比和高反压可以抑制缩进室边界压降振荡.