基于卷积神经网络的深度学习流场特征识别及应用进展

深度学习架构的出色性能使得机器学习在流体力学中的应用得到新的发展,可以应对流体力学中诸多问题和需求。卷积神经网络（CNN）强大的非线性映射能力以及分层提取信息特征的功能,使其成为当下流场特征研究不容忽视的工具。围绕这一研究前沿与热点问题,概述和归纳了这一研究领域的进展与成果。首先,对深度学习在流体力学中的发展以及卷积神经网络进行了简单的回顾。然后,从卷积神经网络能够识别特征出发,先后介绍了基于卷积的深度学习特征识别在流场预测、流动外形优化、流场可视化精度提升和生成对抗等应用方面的研究进展。最后,对深度学习在流场识别领域的应用进行了展望,为后续的研究提供参考。     

星敏感器低频误差分析

介绍星敏感器的误差分类、低频误差定义、误差产生原因及其测试标定方法等.星敏感器输出姿态周期性误差的主要原因为视场空间误差和热弹性变形误差,典型星敏感器采取相应的解决措施后,低频误差可控制在0.8″以内.     

基于SST湍流模型的模拟SRM内流场数值仿真

为准确模拟固体火箭发动机燃烧室内流场,采用基于格心的迎风型有限体积法求解定常雷诺平均Navier-Stokes方程,在空间离散方法上,采用AUSM-PW矢通量分裂格式,时间推进采用三阶三步TVD型Runge-Kutta显式方法,将Ment-er F R提出的SST( shear-stress-transport)湍流模型及其改进形式用于燃烧室湍流流场的数值模拟,并将计算结果与Wilcox的和Spalart-Allmaras湍流模型进行了对比。结果表明, Menter F R的SST湍流模型计算的燃烧室内的径向速度分布与实验值吻合得最好,最大误差约为5.1%;计算的燃烧室内湍流强度分布与实验的规律一致,而其余湍流模型计算的结果与实验值有很大差异。     

基于labview的电涡流测距仪的设计

本文结合计算机等相关技术,提出了一种基于labview的电涡流传感器测量的方法。电涡流位移传感器存在非线性,人工标定存在误差,标定金属材料单一等矛盾,笔者通过实验与仿真研究来解决并在此基础上用labview软件实现了检测结果的界面显示。     

A Simulation of the Mid-and Low-latitude Ionospheric Electric Fields

A theoretical model of ionospheric electric fields at mid- and low-latitudes is developed. In the geomagnetic dipolar coordinate system, the ionospheric dynamo equations were solved, and the ionospheric electric potential and electric field were derived respectively. Major parameters for the model inputs, such as the neutral winds, the densities and temperatures of electron, ions and neutrals, are obtained from empirical models. The global ionospheric electrical potential and field at mid- and low-latitudes derived from our model are largely in agreement with the results presented by other authors and the empirical model. Using our model, it is found that the diurnal component of the HWM93 wind mainly contributed to the formation of the vertical electric field, while the semidiurnal component mainly contributed to the zonal electric field. Finally, by adjustment of the input F region winds and conductivities, most discrepancies between our model and the empirical one can be eliminated, and it is proved that the F region dynamo is the most significant contribution to the electric fields.      

强γ射线参考辐射场散射影响研究

采用蒙特卡罗程序MCNP对强γ射线参考辐射场的散射特性进行了模拟,确立了辐射场实验空间内的剂量率和能谱分布。通过多种角度对屏蔽墙散射和在束散射体散射进行了细致的分析,为校准实验室钴源辐射场的实验应用和屏蔽设计提供参考。     

隔离信号调理模块自动校准系统设计

针对隔离信号调理模块型号多、参量多、使用量大,采用手动计量校准耗时耗力、容易出错、工作效率低等问题,在VEE Pro软件开发平台上,设计开发出一套隔离信号调理模块自动校准系统。该系统包括仪器信息记录、校准及打印输出三个主模块,测试过程采用实时测试显示,自动进行数据处理并存档。使用结果表明：该系统操作简便,提高了工作效率及准确度,降低了人为出错几率,确保了测试数据准确可靠。     

现场校准试验用便携式γ射线照射装置研制

固定式环境γ辐射剂量率监测仪表是承担环境连续监测任务的主要设备,这类仪表通常不便于拆卸和安装,而且送检周期较长（一周左右）,影响了连续监测点数据的连续性。为了固定式仪表的按期校准,结合蒙卡方法研制了便携式γ射线照射装置,利用PTW剂量计对辐射场进行标定,最后利用便携式照射装置对固定式环境γ辐射剂量率监测仪表进行现场校准实验。     

临近空间大气压力传感器现场校准装置研究

本文针对临近空间大气压力传感器现场校准需求,介绍了临近空间大气压力传感器现场校准装置工作原理, 进行理论分析与仿真,提出需突破的关键技术,给出了不确定度预估。     

GRACE accelerometer calibration by high precision non-gravitational force modeling

The precise modeling and knowledge of non-gravitational forces acting on satellites is of big interest to many scientific tasks and missions. Since 2002, the twin GRACE satellites have measured these forces in a low Earth orbit with highly precise accelerometers, for about 15?years. Besides the significance for the GRACE mission, these measurement data allow the evaluation of modeling approaches and the improvement of force models. Unfortunately, before any scientific usage, the accelerometer measurements need to be calibrated, namely scale factor and bias have to be regularly estimated.In this study we demonstrate an accelerometer calibration approach, solely based on high precision non-gravitational force modeling without any use of empirically or stochastically estimated parameters, using our in-house developed satellite simulation tool XHPS. The aim of this work is twofold, first we use the accelerometer data and the residuals resulting from the calibration to quantitatively analyze and validate different non-gravitational force model approaches. In a second step, we compare the calibration results to three different calibration methods from different authors, based on gravity field recovery, GPS-based precise orbit determination, and based on modeled accelerations.We consider atmospheric drag forces and winds, as well as radiation forces due to solar radiation pressure, albedo, Earth infrared and thermal radiation (TRP) of the satellite itself. For TRP, we investigate different transient temperature calculation approaches for the satellite surfaces with absorbed power from the aforementioned radiation sources. A detailed finite element model of the satellite is utilized for every force, considering orientation, material properties and shadowing conditions for each element.For cross-track and radial direction, which are mainly affected by the radiative forces, our calibration residuals are quite small when drag is not super dominant (1–3?$\text{nm}/{\text{s}}^2$ for total accelerations around $\pm$50?$\text{nm}/{\text{s}}^2$). For these directions the calibration seems to perform better than the other compared methods, where some bigger differences were found. For the drag dominated along-track direction it is vice versa, here our method is not sensitive enough because the difference between modeled and measured drag is bigger (e.g. residuals around 10?$\text{nm}/{\text{s}}^2$ for total accelerations around $\pm$70?$\text{nm}/{\text{s}}^2$ for low solar activity). In along-track direction the orbit determination based methods are more sensitive and produce more reliable results. Results for the complete GRACE mission time span from 2003 to 2017 are shown, covering different seasonal environmental conditions.