用子波系数概率密度函数研究湍流多尺度结构的间歇性

用热线风速仪在充分发展平板湍流边界层中测量流向速度信号的时间序列并进行湍流多尺度结构统计特性的实验研究。用热线风速仪以高于对应最小湍流时间尺度的分辨率精细测量风洞中平板湍流边界层不同法向位置的流向速度分量的时间序列信号,用子波分析对湍流脉动速度信号进行多尺度分解,将推广的自相似性(ESS)应用于子波分析。用子波系数的概率密度函数验证了多尺度相干结构对间歇性的影响,并证明与距壁面距离有关。对比研究了提取湍流边界层多尺度相干结构前后湍流多尺度结构函数间歇性的变化规律及概率密度函数的变化规律,验证了多尺度相干结构是湍流边界层产生奇异标度律的原因。当这些相干结构被分离出后,由子波系数计算的ESS标度律就回到K olm ogorov线性标度律,这一现象在整个湍流边界层都是很明显的。      

确定时间序列协方差函数的方法

提出一种确定时间序列协方差函数的方法,它首先根据(多元)时间序列构造其互协方差函数随机序列、互相关函数随机序列或自协方差函数随机序列、自相关函数随机序列,然后采用谱分析和多点平均方法对互协方差函数随机序列、互相关函数随机序列或自协方差函数随机序列、自相关函数随机序列的趋势项进行分离,分别求得其周期项和非周期项的函数表达式,再综合给出整个趋势项函数。从而得到原时间序列的互协方差函数、互相关函数或自协方差函数、自相关函数的函数形式,并通过最小二乘方法确定其中的待定参数。该方法可用于时间序列协方差函数的建模、分析和预测,并且计算简单易行、精度高,便于实际应用。      

基于FPGA设计的功能仿真和时序仿真

介绍了FPGA设计流程中的仿真应用;详细讨论了FPGA设计的功能仿真和时序仿真的各个步骤,重点阐述了仿真激励的添加方法和仿真库的编译等。     

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

Flooding is the overflow of water from stream, river, lake and sea that occurs all over the world and has disastrous effects on human society and environment. Frequent severe flood event in eastern India cause of death and damages every year so, the development of flood susceptibility method is needed for identifying the flood vulnerability areas to reduce the damages. Techniques of Remote Sensing (RS) and Geographical Information System (GIS) can help to flood susceptibility modeling by the accrued and analyzing huge amount of data in short time. The main objectives of this study are to determine the effectiveness of Evidence Belief Function (EBF), binomial Logistic Regression (LR) and ensemble of EBF and LR (EBF-LR) model with RS and GIS techniques for flood susceptibility mapping and spatial prediction of flood-susceptible areas in the Koiya river basin of West Bengal, India. Eight flood conditioning factors; Land use and land cover (LULC), soil, rainfall, normalized differences vegetation index (NDVI), distance to river, elevation, topographic wetness index (TWI) and stream power index (SPI) have been used, and total 264 historical flooding points were mapped, and randomly divided in to training (70%) and validating (30%) dataset. Flood susceptibility map has been generated by applying EBF, LR and ensemble EBF-LR method with the help of training and eight causative factors dataset. The maps have been divided in to six classes; extremely low, very low, low, moderate, high and very high. The receiver operating characteristic (ROC) curve has been used to accuracy assessment of the susceptibility map, and the area under curve (AUC) disclosures 87.9%, 85.2% and 84.1% prediction rate for the EBF-LR, EBF and LR model, respectively. This study is helpful to flood management program, dissection makers and planning in local administrative level.     

Orbit insertion error analysis for a space-based gravitational wave observatory

Constellation is required to be highly stable over several years for a space-based gravitational wave observatory. However, the stability of the constellation can be affected by orbit insertion errors. The effects of orbit insertion errors on the constellation are mainly studied in this paper. Firstly, Monte-Carlo, Unscented Transformation Covariance Analysis Method (UTCAM) and Spherical Simplex Unscented Transformation Covariance Analysis Method (SSUTCAM) are used for simulation. The results indicate that UTCAM and SSUTCAM are highly efficient in calculating, with a relative error of less than 6%. Therefore, it is concluded that because of their accuracy and high efficiency, UTCAM and SSUTCAM can be adequately used in orbit insertion error analysis for a space-based gravitational wave observatory. Secondly, SSUTCAM is used to study the effects of position and velocity errors on the constellation. For the case in this paper, when the position error does not exceed 300 km, and the velocity error does not exceed 4 cm/s, the constellation remains stable.     

基于光纤复用技术的弹体表面场参数组网测量技术

针对传统导弹武器环境参数测量系统测点多且分散，以及量程余量大所导致的电缆网笨重等问题，提出了一种基于光纤复用技术的波分复用（Wavelength Division Multiplexing, WMD）与空分复用（Space Division Multiplexing, SDM）相结合的弹体表面场参数组网测量方案；该系统能够有效地实现弹体表面温度、压力、应变等多环境参数同时测量，测量节点可多达320路；分析了大容量光纤传感网络中所面临的关键技术，并阐述了其在导弹上的工程应用分析；为有效满足弹体小型化、轻型化、高灵敏度及减少弹体体积重量提供了新的思路及解决途径。     

基于三参数幂函数的低周疲劳寿命预测方法研究

为了找到能够更好地预测材料低周疲劳寿命的方法,基于三参数幂函数公式,对引起材料疲劳损伤的原因进行分析,提出了描述损伤能密度与疲劳寿命关系的寿命预测模型。采用高温合金与钛合金等多种材料的低周疲劳试验数据对提出的模型进行分析验证,并将分析结果与传统的Masson-Coffin模型和三参数幂函数公式的分析结果进行对比。结果表明:所提出的损伤能密度模型对不同条件下的材料数据的拟合效果较好,七种不同条件下的材料数据拟合结果中,有六种的相关系数大于0.9,且所有条件下的寿命预测点都在2倍分散带以内,精度高于另两种模型,并且该模型能够确切地描述引起材料低循环疲劳损伤的原因,简洁明了。     

基于Kriging形函数的线性时变结构模态参数辨识

近年来,对航空航天飞行器随时间变化的动力学特性研究需求越来越迫切。仅输出参数化时域的时变时间序列模型以其结构简约、精度高且跟踪能力强而成为研究热点,尤其是泛函向量时变自回归(FS-VTAR)模型已经得到了广泛应用。然而传统的FS-VTAR模型在保证其辨识优势的同时却需要针对不同时变结构选择合适的基函数形式及较高的基函数阶数,该过程相当复杂且耗时。本文借鉴无网格法中移动最小二乘(MLS)法构造形函数的思想,提出一种基于Kriging形函数的线性时变结构模态参数辨识方法。该方法首先引入自适应于辨识信号的Kriging形函数;再把时变系数在形函数上线性展开,利用最小二乘(LS)法得到形函数的展开系数;最后把时变模型特征方程转换为广义特征值问题提取出模态参数。利用时变刚度系统非平稳振动信号验证该方法,结果表明:基于Kriging形函数的FS-VTAR模型相比于传统的FS-VTAR模型能有效地避免基函数形式的选择和较高的基函数阶数,且精度相当;相比于移动最小二乘法能有效地解决其数值条件问题且具有更高的模态参数辨识精度。     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.     

基于多重网格方法的跨声速颤振数值模拟研究

使用多重网格的方法对二维翼型和三维机翼的跨声速颤振进行了数值求解.流场控制方程为N-S方程,湍流模型采用SA模型网格.计算网格采用结构网格,空间离散采用中心格式,使用双时间法进行时间推进.流场与结构之间的数据通过径向基函数(RBF)插值方法进行交换.通过耦合求解流场控制方程和结构运动方程得到Isogai(case A)机翼模型和Agard445.6机翼的跨声速颤振边界.通过与使用单重网格时得到的结果相比较得出,多重网格方法能够节省计算时间,提高颤振分析计算效率.