采用RNG紊流模型计算静止环境中圆形负浮力射流

基于RNG方法的κ-ε湍流模型,运用混合有限分析算法对静止环境中圆形负浮力射流进行数值模拟。从射流的最大入侵高度、流速矢量图、温度等值线、湍动能等值线、横断面上的流速和温度分布以及轴线上温度变化等方面与有效的试验资料进行了较为全面的对比验证。两者的良好吻合表明,基于RNG方法的紊流模型和混合有限分析法的结合能较好地模拟变密度流动。     

洛川黄土地层渗透性与孔隙性的关系

本文用逐步回归分析方法对洛川黄土孔隙性诸要素进行了变量筛选,选出了影响渗透系数的孔隙要素,并建立了随机数学模型,定量解决了影响渗透系数的孔隙多少和孔隙形状问题,初步确定出了洛川黄土地层透水性与孔隙性的关系。     

SOFTWARE REVIEWS

ATLAS*GIS , Version 1.0. ATLAS*MapMaker , Version 4.0. FIVFIV-SINSIN , Release 9.0. Geo-EAS , Version 1.2.1. Evan Englund Sim City , Version 1.0 Statistix , Version 3.1.     

桩土体系相互作用的计算机仿真分析

以一维应力波理论为基础,应用桩土体系相互作用的数值模拟方法,得到了反映桩中应力波的传播过程及反射特性的桩身各点振动速度空间曲面;模拟分析了各类桩身缺陷对桩的振动特性的影响,并将理论曲线与实测曲线进行拟合对比。结果表明:两者基本一致。     

缺血性脑血管病病变血管的CTA检查价值

目的:探讨缺血性脑血管病病变血管的CTA检查价值。方法:使用Philips Brilliance 16层螺旋CT机,Philips Extended Brilliance TM Workspace或GE AW4.4图像后处理工作站,以MIP、CPR为主,VR为辅,对头颈部动脉进行分析,观察缺血性脑血管病病变血管的形态学改变。结果:102例缺血性脑血管病中有90例发现病变血管(占88.24%),90例中,单纯脑动脉病变57例(占63.33%),单纯颈动脉狭窄、斑块12例(占13.33%),脑动脉及颈动脉联合病变21例(占23.33%)。病变血管的CTA表现:检出的78例脑动脉病变中,24例显示为动脉粥样硬化性改变,38例显示为较明确的局限性血管狭窄,其中6例可见斑块,16例显示为血管闭塞,均在大脑中动脉。检出的33例颈动脉病变中,显示为血管狭窄、斑块形成以及血管壁钙化,均位于颈动脉分叉处及颈内动脉起始部。各种缺血性脑血管病与病变血管的对应关系:48例脑梗死,29例找到责任血管;26例TIA,22例找到病变血管;19例腔隙性脑梗死,16例可见不同程度的颈、脑动脉病变;9例有临床表现而CT和(或)MRI显示正常者,显示脑、颈动脉病变6例。结论:CTA可作为缺血性脑血管病的常规检查方法,用来评价缺血性脑血管病病变血管的形态学改变。     

基于工业CT力学实验平台的建立及应用

将工业CT与数字体图像相关法相结合测量物体内部三维变形及应变已发展成为一种新的实验力学方法。本文介绍基于工业CT,自行研制的加载装置和数字体图像相关法(DVC)建立起的力学实验平台,该平台包括基本原理模块、数字虚拟实验模块、原位加载扫描实验模块、变形计算模块和结果输出模块,可以实现单轴压缩、三点弯曲、四点弯曲、点加载及拉伸实验试件内部三维变形场的测量。针对岩石材料与复合材料介绍该平台的应用。     

基于社区的旅游规划方法

系统构建了基于社区的旅游规划方法体系,并从可操作层面上提出规划实施的技术方法,如社区旅游影响感知与态度评价体系、协同决策模式、社区参与三维体系、差距分析模型、社区参与实现机制等具有实际操作性的技术方法,以促进社区参与到旅游规划的每个阶段中去.     

Partial Reduction in the N-Body Planetary Problem using the Angular Momentum Integral

We present a new set of variables for the reduction of the planetary n-body problem, associated to the angular momentum integral, which can be of any use for perturbation theory. The construction of these variables is performed in two steps. A first reduction, called partial is based only on the fixed direction of the angular momentum. The reduction can then be completed using the norm of the angular momentum. In fact, the partial reduction presents many advantages. In particular, we keep some symmetries in the equations of motion (d'Alembert relations). Moreover, in the reduced secular system, we can construct a Birkhoff normal form at any order. Finally, the topology of this problem remains the same as for the non-reduced system, contrarily to Jacobi's reduction where a singularity is present for zero inclinations. For three bodies, these reductions can be done in a very simple way in Poincaré's rectangular variables. In the general n-body case, the reduction can be performed up to a fixed degree in eccentricities and inclinations, using computer algebra expansions. As an example, we provide the truncated expressions for the change of variable in the 4-body case, obtained using the computer algebra system TRIP.     

用拉格朗日插值法求钻程坐标及其PC—1500程序

传统方法绘制的钻程线投影图,往往成为较明显的折线。不符合本来是圆滑曲线的钻程线,且其误差也较大,而用拉格朗日插值法可以根据已得到的测斜结果,拟合出一条圆滑的钻程线。本文介绍了用这种方法编制的PC—1500机BASIC程序,使地质人员可用该机计算制图,摆脱繁锁的手工操作,提高工效和成图质量。     

Sensitivity analysis of geologic computer models: A formal procedure based on Latin hypercube sampling

Mathematical models in which a response variableY is calculated, usually via a computer program, as a function of input variablesX ₁ ,X ₂, ...,X _k are encountered frequently in earth sciences literature. In many cases, uncertainty in the knowledge of the correct values of the input variables exists, leading to uncertainty in the correct value of the response. Sensitivity analysis procedures can be used to identify which input variable uncertainties contribute most to uncertainty in the response variable.This paper presents the technique of Latin hypercube sampling, a structured, formal sampling process used in the sensitivity analysis procedure. Output resulting from the sample is analyzed using stepwise regression analysis, leading to identification of key input variables. Future data gathering activities can then be done efficiently, focusing on these variables. The technique is applied to a model, developed by Sudicky and Frind, which represents the flow of a contaminant through a porous media.