固液捆绑火箭星箭耦合分析技术研究

新一代中型固液捆绑火箭频率低、模态密、全箭动力学特性复杂,助推与芯级之间的力的传递特性在纵横扭方向存在耦合,传统纵横向分离的星箭耦合分析方法无法准确预示星箭界面力学环境。本文针对固液捆绑火箭的特点,建立了星箭耦合系统纵横扭一体化有限元模型;根据火箭飞行特定设计工况建立具有时变飞行特征的外力函数,对火箭特征工况进行了瞬态响应分析;通过子结构内力恢复对固液捆绑火箭的星箭界面力学环境进行了准确预示,具有较高的工程应用价值。     

考虑避免碰撞的编队卫星自适应协同控制

基于势函数法研究具有模型不确定性的编队飞行卫星避免碰撞的自适应协同控制.势函数法的思想为设计碰撞区域势函数值较大,所设计的控制律使得系统势函数具有减小的趋势,从而实现避免碰撞的编队飞行任务.首先,在无外部参考轨迹的情况下,通过引入避免碰撞势函数,提出一种自适应协同控制器,编队卫星最终实现速度一致和避免碰撞.进一步,考虑已知外部参考轨迹的情形,基于新的势函数方法,设计新的自适应协同控制器,能够同时实现避免碰撞、速度一致、卫星跟踪参考轨迹的目的.对于所提出的两种控制方法,均通过合理地应用Lyapunov稳定性理论分析了闭环系统的稳定性.仿真结果表明了所设计控制方法的有效性.     

轴对称拉瓦尔喷管流场分析

采用一维管流理论分析了轴对称拉瓦尔喷管典型工作状态,结合理论分析对喷管流场进行CFD仿真计算。经研究表明：（1）结合理论分析的流场初始化、以及FMG和外推计算方法,CFD计算效率明显提高;（2）不同拉瓦尔喷管工作状态,需采取不同的壁面函数法来处理近壁区;（3）一维管流理论分析中,将管内强激波简化为正激波的常规做法,计算误差较大,不尽合理。     

基于距离代价函数和信息熵的发动机性能参数估计研究

研究发动机部件性能参数变化规律,对于减少维修次数和推动视情维修具有重要意义。针对测量参数个数少于待估性能参数的情况,给出了一种通过构建代价函数和优化算法的参数估计方法。原代价函数只考虑当前点参数,缺少与前面点参数的联系,因此结合自组织神经网络,构造了包含以前与当前点参数的距离代价函数。并提出了一种快速的参数估计方法。由于准确的部件性能参数很难获取,并且参数趋势估计不同于单纯的点估计问题,以对应的测量参数为基础,利用信息熵方法评定部件性能参数估计效果。进一步得到距离代价函数对应的参数信息熵为0.6805,优于原代价函数的估计结果。最后通过实例验证了参数估计方法的有效性。      

Reliability analysis based on a novel density estimation method for structures with correlations

Estimating the Probability Density Function (PDF) of the performance function is a direct way for structural reliability analysis,and the failure probability can be easily obtained by integration in the failure domain.However,efficiently estimating the PDF is still an urgent problem to be solved.The existing fractional moment based maximum entropy has provided a very advanced method for the PDF estimation,whereas the main shortcoming is that it limits the application of the reliability analysis method only to structures with independent inputs.While in fact,structures with correlated inputs always exist in engineering,thus this paper improves the maximum entropy method,and applies the Unscented Transformation (UT) technique to compute the frac tional moments of the performance function for structures with correlations,which is a very efficient moment estimation method for models with any inputs.The proposed method can precisely estimate the probability distributions of performance functions for structures with correlations.Besides,the number of function evaluations of the proposed method in reliability analysis,which is determined by UT,is really small.Several examples are employed to illustrate the accuracy and advantages of the proposed method.     

动物谚语及其反谚语的多元语用功能解读

动物谚语及其反谚语在交际活动中扮演着多重角色。本文总结了动物反谚语的构成规律,从语用学的角度探讨动物谚语及其反谚语在交际活动中的语用功能,旨在帮助英语学习者真正理解和掌握动物谚语及其反谚语的本质特征及其使用中的多样性和灵活性,提高语用能力,并在语言学习中有效、得体、恰当地运用动物谚语及其反谚语。     

Precise output loads control of load-diffusion components with topology optimization

The purpose of this paper is to present a novel topology optimization approach to control precisely the output loads under static loads and harmonic excitations. We introduce the Artificial Bar Element (ABE) at the designated output positions, where the output loads are equivalently measured and constrained with the nodal displacements of ABE. Optimization model is then formulated considering the output load constraints as well as the minimization of strain energy and dynamic displacement responses respectively under the static and dynamic conditions. The influences of the ABEs stiffness, different material usages of the design domain, widths of the output loads constraint intervals and variation ratios of output loads are discussed in detail. The proposed method is verified with several numerical examples with clear and reasonable load transfer paths.     

A new structural reliability analysis method in presence of mixed uncertainty variables

For structures with both random and fuzzy uncertainty, this paper presents a novel method for determining the membership function in fuzzy reliability with the Automatic Updating Extreme Response Surface (AUERS) method. In the proposed method, fuzzy variables are initially converted into a value domain under the given cut level and the extreme point in the domain where the reliability reaches its extreme value is considered. Second, the Particle Swarm Optimization (PSO) algorithm is used to determine the extreme point according to the extreme responses for different sets of random sample inputs. A kriging response surface is subsequently constructed between the random variables and the corresponding extreme points. An automatic updating strategy is then introduced based on the Relative Mean Square Predicted Error (RMSPE) before performing every iteration of reliability analysis. By adding new sample points, the approximate quality of the kriging response surface is improved. Finally, reliability analysis is used to determine the reliability bound under the given cut level. The proposed method assures the accuracy and computation efficiency of the mixed uncertainty reliability analysis results while it prevents the solution from becoming trapped in a local optimum, which occurs in classical optimization methods. Two example analyses are used to demonstrate the validity and advantages of the proposed method.     

An efficient regulation approach for tomographic reconstruction in combustion diagnostics based on TDLAS method

For tomographic reconstruction in combustion diagnostics, it is usually necessary to solve a rank-deficient problem, where the number of non-linear dependent equations is smaller than the number of unknowns. In some reconstructions, there are grids without rays passing through. This produces artifacts during the reconstruction. In this paper, the weight of the regulation equation is modified with the number of the rays crossing the grid cells. The effect of the neighboring grid values as well as the number of rays crossing the grid cells is considered in the new regulation method. Numerical simulation results show that the new regulation method suppresses the reconstruction error of the no rays crossing grid and successfully restrains the corner distortion in four projection angles. The effects of the weight coefficient and the smoothing factor on the reconstruction are examined through a numerical study. Finally, a combustion experiment demonstrates that the new regulation method can significantly reduce the reconstructed error, especially for the non-ray crossing condition, and the results are compared with thermocouple measurements and reconstructions without modified regulation.