Oblique-incidence ionospheric soundings over Central Europe and their application for testing now casting and long term prediction models

After a first oblique-incidence ionospheric sounding campaign over Central Europe performed during the period 2003–2004 over the radio links between Inskip (UK, 53.5°N, 2.5°W) and Rome (Italy, 41.8°N, 12.5°E) and between Inskip and Chania (Crete, 35.7°N, 24.0°E), new and more extensive analysis of systematic MUF measurements from January 2005 to December 2006 have been performed. MUF measurements collected during moderately disturbed days (17 ? Ap ? 32), disturbed days (32 < Ap ? 50) and very disturbed days (Ap > 50), have been used to test the long term prediction models (ASAPS, ICEPAC and SIRM&LKW), and the now casting models (SIRMUP&LKW and ISWIRM&LKW). The performances of the different prediction methods in terms of r.m.s are shown for selected range of geomagnetic activity and for each season.     

Variability of foF2 in the African equatorial ionosphere

This paper presents the impact of diurnal, seasonal and solar activity effects on the variability of ionospheric foF2 in the African equatorial latitude. Three African ionospheric stations; Dakar (14.8°N, 17.4°W, dip: 11.4°N), Ouagadougou (12.4°N, 1.5°W, dip: 2.8°N) and Djibouti (11.5°N, 42.8°E, dip: 7.2°N) were considered for the investigation. The overall aim is to provide African inputs that will be of assistance at improving existing forecasting models. The diurnal analysis revealed that the ionospheric critical frequency (foF2) is more susceptible to variability during the night-time than the day-time, with two peaks in the range; 18–38% during post-sunset hours and 35–55% during post-midnight hours. The seasonal and solar activity analyses showed a post-sunset September Equinox maximum and June Solstice maximum of foF2 variability in all the stations for all seasons. At all the stations, foF2 variability was high for low solar activity year. Overall, we concluded that equatorial foF2 variability increases with decreasing solar activity during night-time.     

2D约束Delaunay剖分生成表面模型的表面网格

提出一种生成表面模型的表面非结构化网格的方法.该方法仅假定表面模型的每个面片在取定适当的投影平面时可看成是一个单值函数.对表面模型的每个面片,首先在其相应的投影面上进行二维约束Delaunay剖分,然后对网格顶点进行插值.由于采用联动剖分的策略使得单独生成的各个表面网格在共同边界处匹配.与通常的生成表面网格的网格前沿法相比,本方法无需预先对域的边界进行离散,边界的离散体现在约束Delaunay剖分中恢复限定线段的边界细分过程中,减少了用户干预.通过合理地指定2D约束Delaunay三角化时网格单元尺寸分布函数,可以有效控制表面网格对表面模型的逼近精度和实现自适应的表面网格.实验结果证明了本算法的有效性.     

排球不同球缝随机气动力建模方法研究

介绍了排球不同球缝随机气动力建模思想，探讨了建模的仿真方法，包括模型及其结构辨识、辨识方法优选及模型检验等，验证结果表明，所建模型与实现吻合，建模方法可行实用，具有直观、简便、灵活、通用、易分析比较、建模精度和效率高等特点，可用于不同球缝机气动力模型的高线或在线辨识。     

航空发动机数据库逻辑结构的研究

成功地建立航空发动机数据库的关键,是根据数据模型分析,研究的结果进行数据库总体逻辑结构设计,经过分析,研究采用关系型数据理论,使航空发动机数据库具有合理的逻辑结构,航空发动机是一种在不断发展中的技术密集型的热动力机械产品,它不但涉及许多学科与技术领域,而且本身结构得杂,型式多样,在建立关系型航空发动机数据库时,研究描述航空发动机的各种数据间的关系模式与函数依赖关系,是建立数据模型的主要环节,数据库     

人体热调节系统数学模型

简要地介绍了人体热调节系统,综述了人体热调节系统数学模型的研究现状,从模型的人体结构表示、循环系统建模、模型的求解和维数等方面,对主要的人体热调节系统数学模型进行了比较,模型包括NASA的41节点人体模型及Kuznetz模型,Wissler模型, Werner模型及北京航空航天大学开发的几个人体热调节模型.对进一步的研究提出了某些观点与建议.      

非直线滑跑飞机的摆振与滑跑稳定性

在非惯性坐标系中建立了起落架支柱的动力学模型。与飞机地面运行的六自由度模型结合，可以考察非直线滑跑飞机的起落架摆振现象及飞机地面滑行的方向稳定性。以Ｋ８飞机为例，考察了非直线滑跑模型与传统的直线滑跑模型的摆振特点及飞机的滑跑稳定性。算例结果合理，表明模型可供有关研究参考。     

高超声复杂流动中湍流模式应用的评估

本文选择几个高超声速基准流动：二维可压缩拐角、锥柱裙组合体绕流、斜激波与湍流边界层干扰，采用几个常见的湍流模式，BL模式，CHκ-ε模式，κ-ε模式，SST模式，CMOTTκ-ε模式，SHIHκ-ε模式，通过将数值计算结果和实验结果进行比较，对有关的湍流模式地 评估，得到一些有意义的结论。     

飞机地面运行的动力学模型

建立的飞机地面运动数学模型是“可操纵的”,机体有6个自由度。该模型只要给定操纵信号,就能求出前轮和飞机的运动及其相互作用。飞机地面运动模型采用无滑动轮胎模型,不再引入任何人为的运动学假设,不要事先给定前轮转角,不依赖于需要复杂测定的侧向力函数,考虑了轮胎的滚动特性。对飞机的地面运动一直沿用瞬时转动中心等价于质心轨迹的曲率中心的假设。研究表明 ,飞机的瞬时转动中心与质心轨迹的曲率中心只在飞机稳定转弯时重合。     

Integrating Non-Tidal Sea Level data from altimetry and tide gauges for coastal sea level prediction

The main objective of this paper is to integrate Non-Tidal Sea Level (NSL) from the joint TOPEX, Jason-1 and Jason-2 satellite altimetry with tide gauge data at the west and north coast of the United Kingdom for coastal sea level prediction. The temporal correlation coefficient between altimetric NSLs and tide gauge data reaches a maximum higher than 90% for each gauge. The results show that the multivariate regression approach can efficiently integrate the two types of data in the coastal waters of the area. The Multivariate Regression Model is established by integrating the along-track NSL from the joint TOPEX/Jason-1/Jason-2 altimeters with that from eleven tide gauges. The model results give a maximum hindcast skill of 0.95, which means maximum 95% of NSL variance can be explained by the model. The minimum Root Mean Square Error (RMSe) between altimetric observations and model predictions is 4.99 cm in the area. The validation of the model using Envisat satellite altimetric data gives a maximum temporal correlation coefficient of 0.96 and a minimum RMSe of 4.39 cm between altimetric observations and model predictions, respectively. The model is furthermore used to predict high frequency NSL variation (i.e., every 15 min) during a storm surge event at an independent tide gauge station at the Northeast of the UK (Aberdeen).