非线性两点边值问题的六阶三对角差分法

讨论了满足边界条件y(a)=A 和y(b)=B 的二阶非线性常微分方程y″=f(x,y)的六阶三对角差分法,并从理论和实际计算证明了该方法的六阶收敛性。     

Improvement of forebody/inlet integration for hypersonic vehicle

Results of a numerical (CFD) study of the influence of the forebody shape on local flow parameters at a bottom-mounted inlet entrance are presented. The free-stream Mach number is assumed to be 3.5–7.0. Some recommendations on forebody shape optimization are provided. Main characteristics of the air inlet are evaluated.     

碟形弹簧的弯曲效应问题

以采用壳体非线性无矩理论所确定的碟形弹簧薄膜位移与薄膜应力作为初始状态,采用壳体线性有矩理论对碟形弹簧进行了弯曲位移与弯曲应力分析.分析表明:与薄膜应力相比,弯曲应力是不能略去的;而与薄膜位移相比,弯曲位移是可以略去的.因此,对碟形弹簧而言,以壳体非线性无矩理论确定位移是合理的,而以壳体线性有矩理论确定附加弯曲应力也是可行的,同时也是必要的.     

一个自主Agent框架及其决策

自主性是Agent的最重要的特征。本提出一个自主Agent的框架及其相应的决策机制。首先介绍了用于描述自主Agent的语言;然后基于BDI模型和情境演算理论,提出一个自主Agent的框架;最后给出自主Agent的一种决策过程。     

压电复合材料壁板颤振的控制

针对考虑热效应的壁板颤振问题,利用von Karman大变形应变-位移关系、气动力活塞理论和准定常热应力理论建立了埋入压电材料的复合材料板颤振的气动弹性力学模型,使用Bogner-Fox-Schmit单元推导出壁板颤振的非线性有限元方程.将该动力学方程转换到状态空间模型,给出了基于这个非线性模型的最优控制.应用Runge-Kutta方法在时域内对一个四边简支的含压电材料的复合材料壁板颤振的控制进行了仿真,数值结果证明了该方法的有效性.     

一种自适应的曲面剖分算法的实现与性能分析

根据曲面求交的基本原理,结合自适应理论,构造出了一种新的剖分算法。这种算法提高了曲面求交的精度和效率,简化了曲面求交算法的复杂性,同时有效地解决了曲面求交中的漏点漏线、自交等各种问题。     

改进升力线理论和风洞试验结合的气动弹性修正方法

本文介绍了一种基于亚音速稳态定常流改进升力线理论与风洞试验相结合的大展弦比亚音速飞机的弹性翼面气动力分布载荷修正方法,设计目的是为了考虑具有大展弦比、弹性翼面结构的飞机翼面结构弹性变形对气动载荷分布的影响。     

密集型空气雾化流场破碎特征数学模型研究

低速液体射流在高速湍流气体作用下的气液同轴射流雾化流场是瞬态密集型喷雾场,高速湍流中影响和控制雾化的因素很多。针对空气雾化流场液核分布与特征进行分析,开发了模拟液核的随机浸入体模型,结合大涡模拟方法对同轴射流空气雾化喷嘴下游流场进行数值模拟。模拟结果与实验结果对比表明：随机浸入体模型可快速捕捉液核的长度和位置信息。当气液动量比M为3~10000时,能够较准确地预测液核长度,当M>10时,其预测结果远优于唯象模型;该模型能够捕捉回流区、大尺度涡等流场结构。同时,可以准确地预测喷嘴附近的液滴粒径,特别是在气流速度较大（>60m/s）时,液滴平均直径预测误差<10%。     

Periodic atomization characteristics of an impinging jet injector element modulated by Klystron effect

An experimental study on the Klystron effect of periodic injection modulated by pressure drop fluctuations on subsequent atomization is conducted. Time-resolved atomization backlit images and atomization Mie scatter images are captured by using the high speed camera. It is found that periodicity of forced atomization relies on pressure drop fluctuation amplitude and phase differences between atomization and pressure drop fluctuations relate to fluctuation frequencies. This feature of periodic atomization induced by Klystron effect corresponds to periodicities and high amplitudes of pressure fluctuations in unstable combustion chambers and chaos and low amplitudes of pressure fluctuations in stable combustions chambers. Drastically periodic varying of gross surface area of droplets with time was shown in Mie scatter images. The importance of periodic impinging jet atomization modulated by pressure drop fluctuations for acoustic liquid propellant combustion instabilities is illustrated.     

A multi-order method for predicting stability of a multi-delay milling system considering helix angle and run-out effects

In this paper, a multi-delay milling system considering helix angle and run-out effects is firstly established. An exponential cutting force model is used to model the interaction between a work-piece and a cutting tool, and a new approach is presented for accurately calibrating exponential cutting force coefficients and cutter run-out parameters. Furthermore, based on an implicit multi-step Adams formula and an improved precise time-integration algorithm, a novel stability prediction method is proposed to predict the stability of the system. The involved time delay term and periodic coefficient term are integrated as a comprehensive state term in the integral response which is approximated by the Adams formula. Then, a Floquet transition matrix with an arbitrary-order form is constructed by using a series of matrix multiplication, and the stability of the system is determined by the Floquet theory. Compared to classical semi-discretization methods and full-discretization methods, the developed method shows a good performance in convergence, efficiency, accuracy, and multi-order complexity. A series of cutting tests is further carried out to validate the practicability and effectiveness of the proposed method. The results show that the calibration process needs a time of less than 5 min, and the stability prediction method is effective.