Φ5m立式风洞尾旋试验技术

中国空气动力研究与发展中心于2005年建成了Φ5m立式风洞.该风洞的主要功能是开展飞机自由尾旋风洞实验研究.因此,飞机尾旋试验研究与风洞建设同步进行,并于Φ5m立式风洞建成时就进行了一期民机的自由尾旋试验.笔者着重介绍了本期飞机自由尾旋试验的试验方法、试验设备、图像采集与处理、动力相似模型设计以及飞机尾旋特性分析.通过LE-500飞机中俄自由尾旋对比试验结果分析表明:两座立式风洞中的同一飞机模型的尾旋试验结果具有较好的一致性,中国空气动力研究与发展中心Φ5m立式风洞具备了开展飞机自由尾旋试验研究的能力.     

防热材料热解与氧化性能试验技术研究

介绍了利用Arrhenius方程开展材料烧蚀热解性能动力学特性的基本原理,试验测试方法.并通过对炭酚醛材料烧蚀动力学参数的高频等离子体风洞试验研究,验证了采用时间历程积分在试验结果处理中的可靠性,在此基础上采用平板试验技术获得炭酚醛材料在600~1200K温度范围内的表面质量烧蚀率动力学方程,并将该方程所预测的结果与采用驻点烧蚀技术所获得的结果进行比较.结果显示:二者最大误差不超过5%,通过理论初步分析了二者之间存在差异的主要原因,并在试验比较分析的基础上,采用最大误差限理论分析了试验结果的可靠性.     

冷却介质在层板内流动特性研究(第一部分 利用粒子图像测速技术再现复杂流场)

探讨利用粒子图像测速(PIV)技术,实验研究冷却介质在层板内部流动特性的可行性.实验在满足相似性原理的前提下,用放大的有机玻璃模型,分区域再现了复杂结构内几个重要截面的二维流场.实验在雷诺数4.1×104下进行,从测量所得流体速度矢量图、等高线图及涡量图来看,虽然现有的PIV技术在测量精度上仍有欠缺,但是几个典型截面上所得到的实验结果是合理的,基本与本文第二部分展示的数值模拟结果相符合.因此利用PIV测速技术,验证层板内流数学模型和数值方法是有意义的.     

基于水平集的多相活动轮廓图像分割模型

提出了一种新型的多相活动轮廓模型,是无边活动轮廓模型的广义形式。该模型具有如下特点：（1）提出了背景填充技术,可以在检测目标内部弱边缘时去除阻碍检测的背景信息;（2）在单次二相水平集收敛的基础上,采用多次收敛方式实现了多相分割模型（n-1次收敛实现n相分割模型,n〉1）;（3）介绍了一种提升算法,进一步增强了模型的计算稳定性。实验结果表明,该模型对弱边缘检测特别有效。     

多维系统测量的误差分析计算

多维系统测量参数众多,系统误差分析比较复杂。本文归纳给出多维系统测量误差分析计算方法措施,并给出算例。     

Flow field generated by a dielectric barrier discharge plasma actuator in quiescent air at initiation stage

A single Dielectric Barrier Discharge (DBD) plasma actuator driven by Alternating Current (AC) power, capable of inducing a starting vortex and a wall jet in quiescent air, is suited for low-Reynolds-number flow control. However, the starting vortex and the wall jet are usually observed after the plasma actuator has been operated for dozens of and hundreds of cycles of the voltage, respectively. The detail of the induced flow field at the initiation stage of the plasma actuator has rarely been addressed. At the initiation stage, a thin jet that provides the impetus for the entrainment of the induced flow at the beginning of the plasma actuation is first observed by using a high-accuracy phase-lock Schlieren technique and a high-speed Particle Image Velocimetry (PIV) system. This is the initial form of the momentum transfer from the plasma to the fluid. Then, an arched type jet is created by the plasma actuator. In addition, the whole development process of the induced flow field from the starting point of the thin jet to the quasi-steady stage of wall jet is presented for providing a comprehensive understanding of the plasma actuator and proposing a relevant enhancement of the numerical simulation model.     

Integration of artificial intelligence with meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin,Eastern India

The main aim of this study is to evaluate the gully erosion susceptibility coupling the artificial intelligence and machine learning ensemble approaches. In the present study, the multilayer perceptron neural network (MLP) was used as the base classifier and the hybrid ensemble machine learning methods i.e. Bagging and Dagging were used as the functional classifiers. The Hinglo river basin, an important tributary of the Ajay River was selected as the study area, consists with the parts of Chhotonagpur plateau and Rarh lateritic region. The study area is facing the gully erosion problems which are interrupted the growth of the agriculture. The gully erosion susceptibility maps (GESMs), prepared by MLP, MLP-Bagging and MLP-Dagging were classified into four classes such as low, moderate, high and very high susceptibility classes with the help of natural break method (NBM) in GIS environment. The very high susceptibility class covered 19.41% (MLP), 13.52% (MLP-Bagging) and 15.30% (MLP-Dagging) areas of the basin. For the evaluation and comparison of the models, receiver operating characteristics (ROC), accuracy, mean absolute error (MAE) and root mean square error (RMSE) were applied. Overall, all the gully erosion susceptibility models were performed as excellent. Integration of hybrid ensemble models with MLP has increase the accuracy of the MLP models. Among these models MLP-Dagging has achieved the highest accuracy in compare to the other models. The importance of the selected factors in the present study was assessed by the Relief-F method. The results show that the soil type factor has the highest predictive performance. Sensitivity analysis also showed soil type as most important factor. The gully erosion susceptibility maps (GESMs) are considered as the efficient tool which could be used to take the necessary steps for mitigating and controlling the soil erosion problem and sustainable environmental management and development.     

Models for estimating daily photosynthetically active radiation in oceanic and mediterranean climates and their improvement by site adaptation techniques

In this work Photosynthetically Active Radiation (PAR) in oceanic and mediterranean climates is modeled. Twenty-two different models have been developed and tested: eleven Multilinear Regression (MR) models and eleven Artificial Neuron Network (ANN) models, using combinations of variables such as Global Horizontal Irradiance (GHI), Global Extraterrestrial Irradiance (G₀), Temperature (T) and Relative Humidity (RH). Data provided by Satellite Application Facility on Climate Monitoring (CM SAF) are used to develop and train the models, while the models have been validated using field data from four stations located in Spain, covering the different study climates.According to the results, zones with different climate conditions need different models, both for the case of MR and ANN. The results show the need of including the GHI in all models in order to obtain accurate estimates; in fact, the presence of more variables only improves slightly the results in mediterranean climate, while in oceanic climate no improvement is observed.On the other hand, comparing MR and ANN models, ANN models did not show better results than those of MR models in no one of the cases studied. Regarding the climate, both types of models are clearly better for the mediterranean case than for the oceanic one. In order to improve the performance of the model for oceanic climate a correction based on the site adaptation technique was carried out. The good results obtained by this technique fully justify its use.The best proposed models provide better performance than other models which are restricted to certain locations. Besides, the clustering technique based on the PAR variable, used in this work, allows obtaining useful models for a whole region. Finally, another advantage of this methodology is that there is no need of ground measurements for its development, except for the site adaptation technique.     

Use of global ionospheric maps for HF Doppler measurements interpretation

The HF Doppler technique, a method of measurement of Doppler frequency shift of ionospheric signal, is one of the well-known and widely used techniques of ionosphere research. It allows investigation of various disturbances in the ionosphere. There are different sources of disturbances in the ionosphere such as geomagnetic storms, solar flashes, meteorological effects and atmospheric waves. The HF Doppler technique allows us to find out the influence of earthquakes, explosions and other processes on the ionosphere, which occurs near the Earth. HF Doppler technique has high sensitivity to small frequency variations and high time resolution but interpretation of results is difficult. In this paper, we attempt to use GPS data for Doppler measurements interpretation. Modeling of Doppler frequency shift variations with use of TEC allows separation of ionosphere disturbances of medium scale.     

Nanoparticle type effects on flexural,interfacial and vibration properties of GFRE composites

Damping improvement in composite structures via introducing nanofillers generally has remarkable negative effects on the other mechanical properties. Therefore, in the present work, Si C and Al_2O_3 nanoparticles' infusion effects on the flexural, interfacial and vibration properties of epoxy matrix and glass fiber reinforced epoxy(GFR/E) laminates were investigated. Unidirectional(UD-GFR/E) and quasi-isotropic(QI-GFR/E) laminates with [0/±45/90]sand [90/±45/0]sstacking sequences were hybridized by the optimum nanoparticles percentages. Results from off-axis flexural strengths of UD-GFR/E demonstrate good fiber/nanophased-matrix interfacial bonding.The interlaminar shear stress between the adjacent layers with different orientations/strains of ductile QI-GFR/Si C/E laminates results in decreasing the flexural strengths respectively by 24.3% and9.1% for [0/±45/90]sand [90/±45/0]sstacking sequences and increasing the dissipated interfacial friction energy and thus the damping by 105.7% and 26.1%. The damping of QI-GFR/E,QI-GFR/Si C/E and QI-GFR/Al_2O_3/E laminates with [90/±45/0]sstacking sequence was increased by 111.4%, 29.7% and 32.9% respectively compared to [0/±45/90]sstacking sequence.