水下高围压射流模拟装置的工程设计及测试分析

设计了水下高围压射流模拟装置的主体部分和辅助部分。结合对模拟装置的理论模型分析。实验测试了水下高围压射流模拟装置伴随射流时内部的压力变化过程,并验证了理论模型。     

正交异性光弹性实验应力分析的矩阵理论

应力－光定律是光弹性实验应力分析的基本理论。从正交异性光弹性的物理机制出发,运用矩阵理论,建立了正交异性光弹性应力－光定律,讨论了正交异性光弹性试验方法。     

基于相似日聚类和贝叶斯神经网络的光伏发电功率预测研究

光伏发电功率的预测是光伏发电规划和运行的基础,因而受到越来越多的重视。文中提出了FCM相似日聚类与智能算法相结合的光伏阵列功率短期预测模型。该方法的思路是首先通过分析影响光伏阵列输出功率的主要因素,对历史数据与预测日气象环境进行模糊分类,并筛选出相似度高的子集作为样本,以提高预测样本的质量;然后通过神经网络映射出特征空间与光伏功率之间的复杂关系,并用贝叶斯理论对神经网络参数进行优化,提高网络的泛化能力。为检验该方法的有效性和精确性,将所提出方法与常用BP神经网络模型对同一仿真算例进行预测,预测结果表明本文提出的预测模型效果更佳。     

高压旋喷桩在隧道洞顶地表和洞口基地加固中的应用

当前我国大力发展西南地区客运专线项目建设,该地区属云贵高原,山高坡陡,线路设计隧道所占比例较大,沪昆项目隧道所占比例接近70%。隧址区存在地质复杂、地形多变、隧道进出口多存在浅埋、偏压及软弱围岩、洞口基地软基等地质危害,利用高压旋喷桩施工技术对隧道洞口洞顶及基地进行加固,为安全进洞施工及明洞施工提供了安全保证,其中明洞段软基处理可以尽早防治线路工程下沉、冒泥、弹簧土等严重危害运营安全的工程病害。     

机载前视SAR三维成像原理及分辨率分析

提出一种新型的采用天线阵模式的机载前视合成孔径雷达(SAR)系统,分析了其三维成像原理。根据前视SAR的成像几何模型和回波信号特点给出了实现前视SAR三维成像的处理流程,详细推导了前视SAR的三维分辨率。模拟了X波段前视SAR点目标回波并进行了三维成像实验。仿真结果表明前视SAR系统能够实现三维成像,验证了本文算法的有效性。     

机载大尺寸天线平面度控制与测试研究

从系统的角度研究了天线设计、分析和测试验证的思路和方法,提出了一种机载大尺寸平面相控阵天线动态平面度的控制措施,提出了光电位置传感器和动态位移传感器相融合的实时测量技术,通过对飞行条件下天线动态变形的实时测试,研究了天线的动态平面度变化规律,该结果为动平台条件下大尺寸平面阵天线结构设计和优化提供了技术手段,测试方法为类似研究提供了工程参考.     

Correlation coefficient of response variances in compound noise and product array experiments

In robust parameter design, a compound noise experiment has been frequently used for reducing the number of experimental runs compared to a product array experiment. However, the results obtained by the compound noise experiment and the product array experiment are often much different. This paper derives an expression of the correlation coefficient of response variances in the compound noise and the product array experiments, which gives an explanation of that difference.     

Creating catalogues of two-level nonregular fractional factorial designs based on the criteria of generalized aberration

We consider the problem of constructing good two-level nonregular fractional factorial designs. The criteria of minimum G and G₂ aberration are used to rank designs. A general design structure is utilized to provide a solution to this practical, yet challenging, problem. With the help of this design structure, we develop an efficient algorithm for obtaining a collection of good designs based on the aforementioned two criteria. Finally, we present some results for designs of 32 and 40 runs obtained from applying this algorithmic approach.     

An optimal selection of two-level regular single arrays for robust parameter experiments

Efforts have been made in the literature to find optimal single arrays which work best for the robust parameter experiments. However, examples show that in many cases the optimal designs obtained by the existing criteria cloud not attain the maximum number of clear interested effects for robust parameter experiments. In this paper, through a similar way of Zhang et al. (2008) (ZLZA, in short), an aliasing pattern to measure the confounding between the interested effects and other effects for the case of robust parameter designs is introduced. A new criterion for selecting optimal two-level regular single arrays is proposed. In the consideration of the criterion, two rank-orders of effects are suggested: one is based on the interest of experimenters and the other is under the usual effect hierarchy principle. The optimal designs are tabulated in the appendix.     

An MEP.2 plan in 3 factorial experiment and its probability of correct identification

The present work consider the problem of constructing search designs for searching at most two active hidden two-factor interactions in 3ⁿ factorial setup under the assumption that the three-factor and higher-order interactions are negligible. The designs presented here are also capable of estimating all the main effects, general mean and the effects of identified active two-factor interactions. The performance of the designs has been studied in the noisy case by computing probability of correct identification.