底吹气体搅拌下熔池内流场的研究

本文将物理模型实验与数学模型数值求解相配合,对底吹气体揽拌下熔池内流场进行了研究。以湍流运动学方程和动力学方程、Harlow—Nakayama湍流k—ε双方程模型[1]及边界条件构成了所研究问题的数学模型,应用Spalding等计算湍流回流的方法[2],对数学模型数值求解,得到熔池流场涡量,流函数、湍动能、湍动能耗散率、湍流旋涡粘性系数、速度、含气率及密度等的分布,计算与测定了三种工况,计算与实验结果吻合。     

齿顶及啮合间隙对双螺杆压缩机流场特性影响

为了研究转子啮合间隙和齿顶间隙对双螺杆压缩机流场特性的影响,应用计算流体力学技术对压缩机内流场进行数值求解。通过有限体积法求解压缩机流场模型,采用RNG/K-ε湍流模型,流场迭代方法选用压力隐式算子分割法,耗散率方程和湍动能方程采用一阶迎风格式,能量和动量方程采用二阶迎风格式,基于改进的弹簧近似方法进行网格滑移和重构,对不同啮合间隙和齿顶间隙的二维压缩机内部流场参数进行数值求解。研究结果表明,压缩机啮合间隙、齿顶间隙越小,其出口压力越大,内部温度以及内部气体流速越小。     

超声速飞行底部排气弹三维湍流流场数值模拟

该文采用有限体积法数值离散雷诺时均Navier-Stokes方程,模拟了超声速飞行的圆柱体外部流场.其中两种湍流模式,即Spalart-Allmaras湍流模型和RNG k-ε湍流模型分别应用于该问题的求解.文中给出了数学模型和计算结果,并与实验数据进行了比较.结果表明:采用Spalart-Allmaras湍流模型能很好地描述高速运动体复杂的外部流场.利用上述模型对超声速飞行的底部排气弹三维流场进行数值研究,计算结果揭示了流场的物理现象和基本规律,以期对底部排气弹设计提供理论指导.     

基于无结构网格的有限体积法和颗粒方法相结合求解湍流的联合PDF方程

本研究着力于发展一种新的有限体积法和颗粒方法的混合算法 ,用于湍流 (冷态流以及反应流 )的速度 频率 标量联合PDF(probabilitydensityfunction)输运模型方程的数值求解 .采用一种基于无结构网格的有限体积法 ,求解质量、动量、能量平均守恒方程和平均状态方程 ,为联合PDF的输运模型方程的求解提供其所需的平均速度场和平均密度场 ;颗粒方法中 ,用MonteCarlo算法来求解PDF方程 ,为平均场的计算提供能源源项、雷诺应力、热通量、比热比等信息 .两种方法之间的耦合是一个关键 ,为了验证该算法的可行性 ,论文还对二维V型槽后的湍流冷态流场进行了数值模拟 ,并与实验、大涡模拟、k 模型的结果进行了比较 ,结果表明 ,该算法的结果与实验结果吻合得较好 .     

强旋湍流气相燃烧数值模拟

对液排渣立式旋风炉前置室的流场进行了数值模拟，建立了前置室内三维气相燃烧流场的数学模型，计算采用ＳＩＭＰＬＥ算法，其中湍流计算采用有旋流修正的ｋ－ε模型，气相燃烧采用ＥＢＵ－Ａｒｒｈｅｎｉｕｓ模型。计算结果证明，该模型在求解强旋湍流有回流的气相燃烧注场是可行的。     

基于Galerkin有限元方法的射流泵流场数值模拟

以原参数形式的Navier-Stokes方程为基础,采用Galerkin有限元迭代解法和时间推进解法,在Baldwin-Lomax二层代数湍流模型下,对射流泵内部轴对称流场进行数值模拟,求解过程中引入波阵解法,提高了计算效率;采用混合插值函数避免了压力振荡;采用简化迎风有限元技术,避免了解的非物理振荡和发散,以大峡大电站顶盖排水射流泵为实例进行计算分析,得到了全流场的速度、压力分布,与实验结果基本一致。     

基于水气两相流的水布垭电站泄洪雾化有限元分析

泄洪雾化实际上是水气两相流体混合运动的过程。笔者从描述流体运动的质量守恒以及动量守恒方程出发,建立描述泄洪雾化的数学模型,采用有限元法求解模型。求解过程中采取了相应的非线性项求解策略,解决了求解过程中的数值收敛性与稳定性问题。通过与传统的方腔驱动流动算例进行对比,验证了模型的正确性。根据水布垭电站溢洪道及河谷地形地貌建立了三维有限元计算网格,并对其泄洪过程进行了数值模拟,通过与泄洪实测数据对比发现,该数值方法对泄洪雾化过程中的风场、雨场具有较强的预测能力。     

带端板地效应翼性能的数值研究

通过求解不可压缩流体ＲＡＮＳ方程,数值模拟带端板三维地效应翼的性能及周围流场。数值方法引进了Ｃｈｏｒｉｎ的人工可压缩性概念,应用近似因式分解技术同时求解速度和压力场,动量方程对流项用二阶迎风差分格式离散,其余空间导数项均采用四阶精度的中心差分格式离散,时间离散采用欧拉隐式格式,计算在非交错网格上进行,为了避免压力场的振荡,在连续方程中隐式地加入了压力的四阶数值耗散项,湍流计算采用了Ｂａｌｄｗｉｎ－     

变渗透率条件下低渗介质非稳态压力变化特征

基于低渗透介质中流体渗流速度和压力梯度的二项式关系,提出了低渗透介质的渗透率变化函数,建立了流体在低渗透介质中渗流的运动方程和相应的非稳态渗流数学模型.采用隐式差分格式形成了渗流方程的数值求解形式.求解分析表明:二项式系数对压力及压力导数有着较大的影响,系数值越大,渗透率变化函数值越大,相应实际的渗透率值也越大;在等产量条件下,压力及压力导数变化幅度较小.对比采用拟线性流动规律计算得到的压力及压力导数,变渗透率条件下的压力及压力导数变化较缓,启动压力梯度的影响较小,更能反映低渗透介质的压力变化动态.     

全三维粘性流场计算的快速收敛方法

以新的高收敛率的 L U型隐式格式和高精度、高分辨率的 MU SCL TVD迎风格式为基础 ,提出了一种快速求解三维粘性流场的计算方法。为有效减少计算工作量 ,近固壁区采用了壁面函数方法。湍流模型采用简单的混合长度模型。为提高迭代收敛速度 ,从多重网格理论出发 ,结合改良型L U隐式和迎风格式 ,对 Reynolds平均三维可压缩 Navier-Stokes方程进行求解。用此方法数值模拟了 NASA L ewis37跨音速压气机转子流场。计算得到的流场与实验结果进行了对比。结果表明 ,此方法可快速得到三维粘性流场的流动特性且计算结果精度较高 ,可望在叶轮机械多叶片排全三维粘性流场校核计算中发挥作用。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.