基于DS算法的混胺燃料近红外光谱分析模型传递

对混胺燃料的近红外光谱分析模型的传递方法进行研究。采用 K/S(Kennard/Stone)算法选择转换集样品,采摘用直接校正(Direct Standardization,DS)算法对从仪器采集的光谱进行校正。通过光谱平均差异(ARMS)比较奇异值分解(Singular Value Decomposition,SVD)算法和偏最小二乘法(Partial Least Squares,PLS)对光谱校正的效果。当 PLS算法的最佳主因子数为 3时,DS-PLS算法的光谱校正率可达到 97.5%,优于 DS-SVD算法。混胺样品的分析模型经过 DS-PLS算法传递后,对从仪器的混胺样品各项指标的预测标准偏差(SEP)明显好于传递前,与主仪器预测效果接近,说明采用 K/S算法选择合适的转换集样品后,通过 DS-PLS模型传递算法可有效降低仪器间的光谱差异,实现近红外光谱分析模型在各台光谱仪之间共享。     

Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia

This paper presents the results of the cross-validation of a multivariate logistic regression model using remote sensing data and GIS for landslide hazard analysis on the Penang, Cameron, and Selangor areas in Malaysia. Landslide locations in the study areas were identified by interpreting aerial photographs and satellite images, supported by field surveys. SPOT 5 and Landsat TM satellite imagery were used to map landcover and vegetation index, respectively. Maps of topography, soil type, lineaments and land cover were constructed from the spatial datasets. Ten factors which influence landslide occurrence, i.e., slope, aspect, curvature, distance from drainage, lithology, distance from lineaments, soil type, landcover, rainfall precipitation, and normalized difference vegetation index (ndvi), were extracted from the spatial database and the logistic regression coefficient of each factor was computed. Then the landslide hazard was analysed using the multivariate logistic regression coefficients derived not only from the data for the respective area but also using the logistic regression coefficients calculated from each of the other two areas (nine hazard maps in all) as a cross-validation of the model. For verification of the model, the results of the analyses were then compared with the field-verified landslide locations. Among the three cases of the application of logistic regression coefficient in the same study area, the case of Selangor based on the Selangor logistic regression coefficients showed the highest accuracy (94%), where as Penang based on the Penang coefficients showed the lowest accuracy (86%). Similarly, among the six cases from the cross application of logistic regression coefficient in other two areas, the case of Selangor based on logistic coefficient of Cameron showed highest (90%) prediction accuracy where as the case of Penang based on the Selangor logistic regression coefficients showed the lowest accuracy (79%). Qualitatively, the cross application model yields reasonable results which can be used for preliminary landslide hazard mapping.     

发动机不可控高推力适航部分豁免方法研究

介绍了发动机不可控高推力(UHT)问题的产生背景,论述了申请§25.901(c)条款有关不可控高推力的部分豁免的思路和方法.结合FAA关于不可控高推力的指导材料,给出了有关不可控高推力的持续适航工作建议,对于飞机申请§25.901条款有关不可控高推力的部分豁免具有一定的指导意义     

载人航天器空气环境参数控制非定常仿真分析

为支持乘员在轨驻留,载人航天器需通过空气环境控制系统将众多设计参数和空气环境参数控制在指标范围内。文章建立了一种载人航天器空气环境非定常控制仿真分析模型,包括舱体模块、航天员模块、舱压控制模块、温湿度控制模块以及CO2净化模块。利用该模型分析了载人航天器空气环境参数随乘员代谢水平的非定常变化趋势,并评估了控制系统的工作性能。结果表明:乘员代谢水平变化对空气环境参数有显著影响,通过调节控制系统运行参数可将各空气参数控制在有效指标范围内。人区温度与O2分压、CO2分压和人区湿度有密切的影响关系,不可孤立地进行分析。为载人航天器空气环境参数控制系统的设计和流程改进提供了依据。     

Transient simulation of regression rate on thrust regulation process in hybrid rocket motor

The main goal of this paper is to study the characteristics of regression rate of solid grain during thrust regulation process. For this purpose, an unsteady numerical model of regression rate is established. Gas–solid coupling is considered between the solid grain surface and combustion gas.Dynamic mesh is used to simulate the regression process of the solid fuel surface. Based on this model, numerical simulations on a H2O2/HTPB(hydroxyl-terminated polybutadiene) hybrid motor have been performed in the flow control process. The simulation results show that under the step change of the oxidizer mass flow rate condition, the regression rate cannot reach a stable value instantly because the flow field requires a short time period to adjust. The regression rate increases with the linear gain of oxidizer mass flow rate, and has a higher slope than the relative inlet function of oxidizer flow rate. A shorter regulation time can cause a higher regression rate during regulation process. The results also show that transient calculation can better simulate the instantaneous regression rate in the operation process.     

网格生成方程中非线性系数对网格正交和分布的影响研究

通过数学分析，对椭圆型方程非线性系数对生成网格的正交性和空间分布的影响进行了研究，理论分析和数值结果均表明，系数β具有控制网格正交性的作用，系数α和γ具有调节网格空间分布的作用，且其调节的强增和作用与其比值有直接关系，基于此提出了一种混合型边界条件的给定方法，较好地实现了网格正交和疏密分布的控制。     

气压高度试验方法研究

介绍了利用模型表面的压力测量值经计算求出来流静压的方法和试验结果。文中涉及的计算方法为多元回归法,对试验所得压力数据进行处理,可拟合出多个不同参变量下的静压P∞的多元方程,从中选取一组较精确的作为计算公式进行验证试验,结果表明采用该方法测量静压具有较高的精度。     

综合时序信息的试验优化设计及稀疏求解

考虑不同试验点的试验成本及试验时序信息,在性能指标与影响因素间的响应模型未知情况下,利用装备系统的先验信息构造模型驱动的基函数,构造相应的回归模型来刻画系统的内在关系,分析不同试验点成本及试验时序对试验方案的影响。定义了一种考虑空间权重及批序贯时序的非均匀最优设计模型,将稀疏理论引入到回归试验设计中,把不同批次试验下的回归试验设计模型参数估计问题转换为结构化稀疏重构问题,讨论了非均匀最优设计的构造定理,提出结构化稀疏参数求解算法。算例表明:利用本方法生成的试验点考虑了试验点空间权重和试验时序信息,更符合实际试验规程;采用本方法获得的响应函数得到的期望预测误差更小。     

基于摄动理论的爆高确定方法研究

分别讨论了两种通过飞行时间确定爆高的方法:解析计算修正法和时间偏导数法,这两种方法都是通过计算延迟时间来确定爆高,具有自主性强、可靠性高的特点。计算了两种方法在不同干扰条件下的结果,分析了造成计算偏差的原因。计算结果表明,两种方法的计算误差都非常小,均可应用于弹道导弹爆高确定。     

一类回归分析预测模型及其应用

提出了一类回归分析预测模型，这类模型将多项式和一些简单的数学函数相乘．得出分两步求解模型中待定参数的近似方法，简化了待定参数的求解过程。给出了这类模型的应用实例，结果表明：同一些简单函数构成的模型相比，这类模型具有较好的预测能力。