钢包精炼渣成分的最优化

本文用正交设计方法对用于钢包精炼的ＣａＯ－ＳｉＯ２－Ａｌ２Ｏ３－ＭｇＯ－ＣａＦ２渣系成分进行优化，试验表明影响炉渣泡沫稳定性能的因素依次为碱度，ＣａＦ２，Ａｌ２Ｏ３和ＭｇＯ的含量，最佳的精炼渣组成为：ＣａＯ３９．３％，ＳｉＯ２１９．７％，Ａｌ２Ｏ３２５％，ＭｇＯ６％，ＣａＦ２１０％（Ｂ＝２）     

CaO-MgO-CaF2-Al2O3-SiO2五元渣系粘度的计算模型

依据炉渣结构的共存理论和五元渣系ＣａＯ－ＭｇＯ－ＣａＦ２－ＳｉＯ２－Ａｌ２３在不同温度和成分下的实测粘度值,制定了本渣系的作用浓度和粘度计算模型,计算结果符合实际,证明计算模型可以反映ＣａＯ－ＭｇＯ－ＣａＦ２－Ａｌ２Ｏ３－ＳｉＯ２渣系的实际结构与粘度、结构单元的作用浓度及温度之间的正确关系。     

细晶氧化铝瓷研究

实验研究ＣａＯ－ＭｇＯ－ＳｉＯ２熔块对Ａｌ２Ｏ３瓷烧结的作用结果表明：在２０％ｗｔ％ＣａＯ，３０ｗｔ％ＭｇＯ，５０ｗｔ％ＳｉＯ２区域附近的熔块能很好地促进Ａｌ２Ｏ３瓷的低温烧结；除了第２相对晶界的钉扎作用以及固溶作用外，ＭｇＯ在烧结中的作用能维持ＣａＯ／ＳｉＯ２比，即维持烧结系统中的液相量；Ｌａ２Ｏ３，Ｓｍ２Ｏ３能使Ａｌ２Ｏ３瓷的烧结温度下降大约３０℃，其表面显微结构也有所改善。     

精炼渣系的发泡性能

针对ＣａＯ－ＭｇＯ－Ａｌ２Ｏ３－ＳｉＯ２－ＣａＦ２五元精炼渣系进行了有关发泡性能的实验。实验结果表明：（１）随着吹气量的增加，炉渣相对发泡高度相应增加，两者之间存在着较好的线性关系；（２）当炉渣碱度〈２．５时，炉渣中ＭｇＯ质量分数在１１％左右对炉渣发泡有利，而在高碱度操作时ＭｇＯ质量分数则应该低一些；（３）对于低碱度不ｌ２Ｏ３为１５％；（ＭｇＯ）＋（Ａｌ２Ｏ３）为２０－２６％较好；（４）炉渣碱度对     

CaO,SiO,Al2O3和MgO四元渣系脱硫

根据石钢生产条件,研究了ＣａＯ、ＳｉＯ２、Ａｌ２Ｏ３和ＭｇＯ四元渣系脱硫性能,实验结果表明：炉渣碱度在１．１０－１．２０之间,ＭｇＯ≯１０％,Ａｌ２Ｏ３≯１５％时能获得最佳的脱硫效果。     

碱土云母可切削玻璃陶瓷的研究

基于Ｂａ０．５Ｍｇ３（Ｓｉ３ＡｌＯ１０）Ｆ２－Ｍｇ２Ａｌ４Ｓｉ５Ｏ１８－Ｃａ３（ＰＯ４）２系统，制备出了含Ｂａ碱土云母为主晶相的可切削玻璃陶瓷，弯曲强度σｂ＝２２９ＭＰａ，断裂韧性ＫＩＣ＝２．４８ＭＰａ．ｍ＾１／２，钻孔速度大于７ｍｍ／ｍｉｎ。优良性能的获得借助于Ｂａ云母玻璃陶瓷可控的微观组织，即相互交错的云母晶体和“卷心菜”的组织特征。     

熔渣的氮容量及氮在渣气和渣钢中的分配

用铂坩埚测定了熔渣氮容量,在大气条件下,测得（质量分数／％）１０ＣａＯ－３３ＢａＯ－４９Ａｌ２Ｏ３－８ＴｉＯ２和５４ＣａＯ－２１Ａｌ２Ｏ３－６ＭｇＯ－６ＳｉＯ２－１３ＣａＦ２２种渣系的氮容量分别为１０＾－６和１０＾－５次方数量级,采用氧化镁坩埚测定了氮在钢与炉外精炼常用渣之间的分配系数。     

载体的酸碱特性对Ni－Cu催化剂上CO加氢性能的影响

本文采用ＸＲＤ，ＴＰＲ和以Ｈ２，ＣＯ为探针分子的ＴＰＤ—ＭＳ，ＴＰＳＲ－ＭＳ技术研究了Ｎｉ－ＣＵ合金负载于氧化物ＳｉＯ２，ＭｇＯ和γ－Ａｌ２Ｏ３上的性质变化，以及对ＣＯ加氢反应性能的影响。实验结果表明，各种载体对于负载于其上的活性组分均具有良好的分散性能；ＳｉＯ２对金属相的结构和电子状态不产生影响，而γ－Ａｌ２Ｏ３和ＭｇＯ对金属相则有不同程度的影响，这种相互作用主要表现在活性组分对Ｈ２和ＣＯ吸附能力的变化和ＣＯ加氢的活性和选择性的变化上。     

C_3A 的 Al-O,Ca-O 键与水化活性关系的量子化学研究

通过量子化学的ＳＣＣ－ＤＶ－Ｘα计算方法，分别研究了Ｃ３Ａ分子结构中２种ＡｌＯ４四面体和３种ＣａＯｘ（ｘ＝６，６，９）多面体的价键特性与活性。原子净电荷、键强、电子态密度、ＥＬＵＭＯ以及ΔＥ（ＬＵＭＯ－ＨＯＭＯ）等的计算结果表明：与水反应时，多面体活性大小顺序为Ｃａ（４）Ｏ９＞Ｃａ（１）Ｏ６（或Ｃａ（３）Ｏ６）＞Ａｌ（１）Ｏ４＞Ａｌ（２）Ｏ４。Ｃ３Ａ具有高水化活性主要与弱的Ｃａ－Ｏ键和空洞缺陷有关。     

镁对γ—Al2O3表面酸性及积炭性能的影响

通过添加碱性氧化物ＭｇＯ来调节γ－ＡＬ２Ｏ３表面的酸性，考察了不同镁含量对γ－ＡＬ２Ｏ３的表面酸性及积炭性能的影响，同时考察了以镁改性的γ－Ａｌ２Ｏ３为活性基体的ＦＣＣ模式催化剂的活性及积炭性能。结果表明，加镁不改变γ－Ａｌ２Ｏ３表面的酸中心类型，只是减少了强Ｌｅｗｉｓ酸中心，有利于抑制γ－Ａｌ２Ｏ３上的积炭反应，适量的镁对ＦＣＣ模式催化剂的活性有所提高。     

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.     

A computer generator for randomly layered structures

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

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.     

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.