脱硫石膏做水泥缓凝剂的试验研究

通过大量的化验室小磨配比试验,研究了脱硫石膏代替天然二水石膏作水泥缓凝剂对普通水泥、矿渣水泥各项性能的影响。试验表明：脱硫石膏用作水泥缓凝剂,水泥强度增加,细度更细,凝结时间正常,无不利影响。同时,建议水泥生产厂家使用脱硫石膏造粒机,以便于脱硫石膏的生产应用。脱硫石膏在水泥中的应用节约了二水石膏原生资源,更为电厂节能减排作出贡献。     

脱硫石膏对矿渣混凝土抗渗透性能的影响

研究了脱硫石膏对矿渣混凝土气体渗透和氯离子渗透性能的影响,为其在矿渣混凝土中的应用提供更多的理论依据.研究结果表明,脱硫石膏加入矿渣混凝土以后,矿渣混凝土在各龄期的抗压强度均有了一定程度的提高;掺有脱硫石膏的矿渣混凝土的气渗系数变小,抗氯离子渗透性能也得到改善.将脱硫石膏作为一种复合掺合料在矿渣混凝土中应用,有利于改善混凝土的抗渗透性能,增强耐久性,实现了2种工业副产品的资源化复合利用.     

脱硫石膏-偏高岭土-水泥复合胶凝体系研究

对50%脱硫石膏和偏高岭土组成的辅助胶凝材料与50%水泥组成的复合胶凝体系进行了试验研究.结果表明:800℃热激活脱硫石膏为无水石膏,透射电子显微镜(TEM)分析表明存在明显空腔结构和晶体缺陷;脱硫石膏经400~800℃热激活处理后试样10min~7d的溶解速率不同,且经800℃热激活处理的脱硫石膏溶解速度最快;标养条件下选用经800℃热激活的脱硫石膏作为复合胶凝体系的组分能够获得较高抗压强度,而蒸养条件下可选用未经热激活的脱硫石膏;脱硫石膏与偏高岭土配比按CaSO4和Al2O3摩尔比控制,其比值在0.7~1.1范围内较为适宜,能够达到理想的强度且体积稳定性良好.     

利用电厂脱硫石膏生产水泥

章村矿电厂利用脱硫技术，排放大量的工业废渣——脱硫石膏，水泥厂大力开展资源综合利用工作，利用电厂脱硫石膏替代二水石膏作为水泥缓凝剂生产水泥，不但解决了章村矿电厂脱硫石膏的排放问题，而且降低了水泥生产成本，同时也为企业带来了可观的经济效益和社会效益。     

矿渣与磷石膏配制低热微膨胀早强水泥的研究

目的实现矿渣的综合利用和改进水泥性能。方法研究矿渣的活性、细度、掺量及磷石膏对生产低热微膨胀早强矿渣水泥性能的影响,并试验研究该水泥的其它性能。结果控制矿渣细度sb=382~450 m2/kg,水泥熟料细度sb=310 m2/kg,矿渣掺入量为50%~70%等工艺参数,通过磨料混合可制成425以上的低热微膨胀早强矿渣水泥。结论矿渣可用于425以上的低热微膨胀早强水泥生产。     

脱硫石膏在水泥生产中的应用

主要阐述了脱硫石膏的概念、主要成分及其应用分类,及其在我国水泥工业中作为缓凝剂的性能和再处理方法,分析了脱硫石膏全部替代天然石膏生产水泥的优点及其注意事项,实现脱硫石膏的资源化利用。     

水泥对脱硫石膏性能影响的试验研究

为改善脱硫石膏的性能,使其在建筑工程中应用更为广泛。通过对不同水泥掺量的石膏进行抗压强度和抗折强度试验,探究石膏强度与水泥掺量的关系;并通过扫描电镜实验(SEM)和X射线衍射实验(XRD)对单掺水泥石膏强度变化的微观机制进行分析。研究结果表明:水泥掺入脱硫石膏后可以一定程度上改善脱硫石膏的力学性能,提高脱硫石膏的强度。通过微观机理分析发现,水泥-石膏混合体系中会产生钙矾石,由于钙矾石的膨胀以及硅酸钙水化后生成的水化硅酸钙凝胶填充于石膏孔隙,使石膏趋于密实,从微观上解释了石膏强度的增长机制。但由于钙矾石的膨胀具有双重作用,因此存在水泥的最经济掺加量,实验研究确定脱硫石膏中水泥的最经济掺加量为10%。     

煅烧制度对脱硫石膏物理性能的影响研究

通过对脱硫石膏进行热重分析,分析脱硫石膏的相变温度范围,选定不同的煅烧温度对脱硫石膏进行热处理;比较不同煅烧制度处理后脱硫石膏制品的物理性能等,并通过XRD/SEM等微观分析手段对水化产物进行分析,最终得出脱硫石膏在煅烧时间为1.5 h,煅烧温度设定在180℃时,其水化产物表现出最佳的物理性能。     

改性脱硫石膏基混凝土物理力学性能试验研究

为了验证改性脱硫石膏替代水泥的可行性,采用实验方法,对改性脱硫石膏和水泥及其混凝土的物理力学性能进行了对比试验研究。结果表明:改性脱硫石膏基混凝土抗压强度达到44 MPa,抗折强度达到9.5 MPa,明显高于水泥基混凝土。抗拉强度、抗剪强度与水泥基混凝土较为接近;因此,改性脱硫石膏替代水泥作为胶凝材料是可行的。养护条件的差异会对混凝土强度增长产生影响,低湿度的常温养护条件更适宜改性脱硫石膏基混凝土后期强度的发展;所以在煤矿巷道的喷射混凝土支护施工后无需洒水养护,从而减少施工工序,提高施工效率。另外,还给出了改性脱硫石膏基喷射混凝土配合比的三种优化方案,在满足其施工所需强度的条件下能够方便灵活地选用其最优配合比。     

新疆脱硫石膏的物化特征分析及资源化利用

根据我区脱硫石膏的试验结果,通过和天然石膏对比,分析了脱硫石膏的基本物理、化学性能。结合国家相关的政策,阐述了我区脱硫石膏在建材产品中的利用方式,为今后脱硫石膏的资源化利用指明了方向。     

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).     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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