Aeroelastic two-level optimization for preliminary design of wing structures considering robust constraints

An aeroelastic two-level optimization methodology for preliminary design of wing struc- tures is presented, in which the parameters for structural layout and sizes are taken as design vari- ables in the first-level optimization, and robust constraints in conjunction with conventional aeroelastic constraints are considered in the second-level optimization. A low-order panel method is used for aerodynamic analysis in the first-level optimization, and a high-order panel method is employed in the second-level optimization. It is concluded that the design of the abovementioned structural parameters of a wing can be improved using the present method with high efficiency. An improvement is seen in aeroelastic performance of the wing obtained with the present method when compared to the initial wing. Since these optimized structures are obtained after consideration of aerodynamic and structural uncertainties, they are well suited to encounter these uncertainties when they occur in reality.     

变体平尾翼型气动外形设计方法

为了使飞机在控制飞行姿态时仍然能保持最优升阻比,提出了一种通过改变翼型形状来代替传统控制舵面来控制飞机俯仰的方法。采用伯恩斯坦多项式对机翼的翼型进行数学建模,并采用遗传算法通过空气动力学仿真对翼型进行优化得到一组在一定飞行环境下、产生附加阻力最小且随升力系数变化的翼型形状。通过对比证明在提供相同升力的情况下,变体翼比传统的控制舵面产生更小的附加阻力。根据翼型形状和升力系数的变化采用数据拟合的方法得到翼型形状控制参数随升力变化的规律。通过算例对变化规律的验证表明其可以用来作为飞行姿态控制的翼型形状变化依据。     

家庭系统排列技术治疗抑郁症的个案研究

抑郁症是心理咨询和心理治疗实践中常见的心理问题之一,属于神经症的一种,是一种对人们的行为影响深远的心理特征,吸引了许多的心理学家对其进行研究,在大学生中较为多见,目前为止对于抑郁症的治疗,时间长,见效差,若干年也没有明显起色,家庭系统排列疗法一经引用,就取得了很理想的效果,这种心理疗法将为广大学生解除更多困惑.     

正电子素络合形成研究(Ⅱ)

本文讨论了不同测量条件对正电子素络合反应速度常数测定值的影响。实验结果表明,在稀溶液的条件下,使用我们特殊设计的盛装溶液的匣式容器能大大提高放射源的使用率并能完全避免放射性废水。     

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.     

Radar target novel characteristic detection method

In this paper, a method of radar target detection based on 2-dimensional (2D) fractal dimension is proposed. The proposed approach exploits both range information and azimuth information to estimate fractal dimension. Moreover, the approach can increase the number of the data points. The above two merits result in the fractal dimension estimated by this method is more accurate and robust than the previous method. The detection performance is also better than the previous one, which only makes use of 1-dimensional (1-D) information to estimate fractal dimension. Theoretical analysis and experimental result show that the proposed method performs well in strong clutter background. The proposed method is also validated by real-life radar data, and the better result has been achieved.     

承载式车身覆盖件板厚优化及灵敏度分析

探讨了基于有限元模型的承载车身覆盖件板厚优化和灵敏度分析的方法。在大型设计和分析软件UG和ANSYS上建立了车身的有限元模型,分析了覆盖件板厚对车身承载的不同影响效果。     

提高花键加工精度的工艺研究

发动机中力及扭矩的传递全部通过渐开线花键副来实现,由于发动机工作转速高,因而要求渐开线花键副传动非常平稳。通过本工艺方法的探索,采用新的工艺加工方法,提高了涡轮泵叶轮、轴的花键加工精度,保证了涡轮泵装配性能的要求。