实现柔性机翼后缘形状变化的综合优化(英文)

Adaptive wings have long used smooth morphing technique of compliant leading and trailing edge to improve their aerodynamic characteristics. This paper introduces a systematic approach to design compliant structures to carry out required shape changes under distributed pressure loads. In order to minimize the deviation of the deformed shape from the target shape, this method uses MATLAB and ANSYS to optimize the distributed compliant mechanisms by way of the ground approach and genetic algorithm （GA） to remove the elements possessive of very low stresses. In the optimization process, many factors should be considered such as airloads, input displacements, and geometric nonlinearities. Direct search method is used to locally optimize the dimension and input displacement after the GA optimization. The resultant structure could make its shape change from 0 to 9.3 degrees. The experimental data of the model confirms the feasibility of this approach.     

三维空间拦截的前置追踪变结构制导律(英文)

This article aims to develop a head pursuit （HP） guidance law for three-dimensional hypervelocity interception, so that the effect of the perturbation induced by seeker detection can be reduced. On the basis of a novel HP three-dimensional guidance model, a nonlinear variable structure guidance law is presented by using Lyapunov stability theory. The guidance law positions the interceptor ahead of the target on its tlight trajectory, and the speed of the interceptor is required to be lower than that of the target, A numerical example of maneuvering ballistic target interception verifies the rightness of the guidance model and the effectiveness of the proposed method.     

欠采样条件下的频率估计技术研究

为了在欠采样条件下实现信号真实频率的估计,文章阐述了在对信号采样过程产生频率模糊机理进行分析的基础上,根据频谱位置模糊与采样频率的特定关系,提出了利用两个欠采样频率进行采样来实现解模糊的算法,仿真验证了算法的有效性.     

Exploring for natural gas using reflectance spectra of surface soils

Reflectance spectra in the visible and near-infrared wavelengths provide a rapid and inexpensive means for determining the mineralogy of samples and obtaining information on chemical composition. Hydrocarbon microseepage theory establishes a cause-and-effect relation between oil and gas reservoirs and some special surface anomalies, which mainly include surface hydrocarbon microseepage and related alterations. Therefore, we can explore for oil, gas by determining reflectance spectra of surface anomalies. This idea has been applied to the R&D project of exploring for natural gas in Qinghai province of China using NASA EO-1 satellite with the Hyperion sensor (June 2005 to June 2006). In this project, in order to improve the accuracy of exploration targets of natural gas mapped in the field studied, an integrated practical system of exploration of oil and gas was built by the analysis of not only hyperspectral remote sensing data but also data provided from field work. In this paper, our efforts were focused on the analysis of the 799 reflectance spectra provided from the field work. In order to properly define the typical form of hydrocarbon microseepage with spectroscopy and fulfill the data analysis, it was necessary to build a spectral model. In this spectral model the most important features of hydrocarbon microseepage in the surface of our study area, i.e., diagnostic spectral macroscopic features and diagnostic spectral absorption features, were proposed and extracted, respectively. The distribution of coexisting anomalies, which results from both alteration minerals and hydrocarbons, is estimated by the diagnostic macroscopic features mainly using Spectral Angle Mapper (SAM) classifier. On the other hand, the diagnostic absorption features of two main absorption bands presented abundant local information, based on deep analysis of which, we are able to map the anomalies of alteration minerals and hydrocarbons, respectively. Additionally, a general framework of analysis and key classification algorithms applied to the Hyperion data have been introduced briefly. In our work, three exploration targets of natural gas were identified from the study area which covers 2100 km². In the three exploration targets, three wildcats have been drilled by China National Petroleum Corporation (CNPC) since July 2006, and all the three wells have been proven some industrial reserves.     

基于改进极限学习机的光谱定量建模方法

依据近红外光谱(NIR)产生原理,提出了粒子群优化极限学习机(PSO-ELM)算法,运用于小样本氨水浓度定量分析。通过优化极限学习机(ELM)隐藏节点参数,解决了极限学习机由于输入权值和隐含层偏差随机产生的建模结果具有随机性的问题,提高了预测模型的稳定性、精确度和泛化性能。经实验验证,优化后的PSO-ELM相比ELM,模型预测集均方根误差由0.01166减小至0.00322,预测集相关系数由0.9951提高至0.9979。将优化后的模型预测结果与支持向量机(SVM)、BP神经网络算法等传统方法的建模结果进行对比,优化后的PSO-ELM算法具有较高的精确度和良好的泛化性能,模型预测效果优于传统的定量回归分析算法。     

片上网络体系结构仿真和性能分析

片上网络(Network on chip,NoC)是复杂片上系统(System on chip,SoC)设计中通信问题的解决方案.本文介绍了多种NoC体系结构,并提出了一种基于OPNET的高层次建模和仿真方法,以根据平均延时和吞吐量评估体系结构性能.本文在不同通信负载和通信模式下对NoC体系结构进行了仿真实验,对比分析的实验结果可为特定应用的NoC设计中选择最佳互连体系结构提供依据.最后通过MPEG4解码器映射到各种NoC体系结构的应用,进一步证明了该仿真评估方法的有效性.     

铝光亮阳极氧化工艺研究

采用正交设计法研究铝光亮阳极氧化工艺,优选出硫酸加R添加剂的最佳配方,讨论了电流密度和温度对光亮度的影响。通过电压——时间曲线,氧化膜厚度的测定,扫描电镜,x-射线衍射等方法研究了R添加剂的影响。     

用于微光探测器的天文杜瓦

综述了天文用ＣＣＤ激光探测器对天文杜瓦的要求，介绍了研制的ＴＷＤ型杜瓦的特点和试验情况。试验结果表明，在无探测腔时，Ⅱ型和Ⅲ型杜瓦容器的技术指标分别达到：有效容积２．５Ｌ和１．２５Ｌ；质量２．０５ｋｇ和３．０２ｋｇ；液氮保存期１１０ｈ和１１６ｈ．真空寿命达２年以上．接探测腔后，Ⅱ型杜瓦液氮保存期为４０ｈ；ＣＣＤ冷盘温度可达到－１００～－１２０℃．     

铝合金动态控制低应力无变形（DC - LSND）MAG 焊焊接过程模拟

对动态控制低应力无变形（dynamically controlled low stress no - distortion,DC - LSND）铝合金 MAG 焊进行了数值仿真,利用数值仿真模型并结合优化算法对热沉参数进行了优化分析。通过对有限元软件的二次开发,实现了焊接热源程序的加载和热沉过程的加载。对比正常焊接过程,采用热沉实现了随焊激冷法后焊接残余应力降低。在其他条件热沉不变的条件下,随着热沉强度的增大,残余应力显著降低。在热沉强度不变的情况下,热沉与热源距离在30 mm 左右时,应力降低效果最为明显。     

燃气轮机模型燃烧室的大涡模拟

燃烧室内的燃油雾化、蒸发以及和空气进行混合过程对燃烧过程有重要影响。提出1种基于大涡模拟的数学模型来模拟燃烧室内燃料喷射、蒸发和混合过程。被空间滤波掉的亚网格尺度涡对大尺度涡的影响由求单方程SGS湍流模型进行模拟。采用拉格朗日法和蒙特卡洛技术对流场中的喷雾粒子进行采样跟踪,采样喷雾粒子在流场中作为点源项与气相进行质量、动量和能量的双向耦合。提出1个基于SGS湍流动能的双向耦合模型来模拟SGS脉动速度对喷雾粒子运动的影响以及喷雾相对SGS湍流动能的影响。通过对1个同轴模型燃烧室中的喷雾蒸发及混合过程的大涡模拟,将预测结果和试验值进行了比较,预测值和试验值吻合良好,验证了模型的可靠性。