功能性针织运动服装面料的组织结构设计

根据功能性运动服装对织物的导湿快干和抵抗紫外线要求,选用不同细度、具有沟槽结构的新型聚酯纤维,利用点、线接触,差动效应的原理,设计出单面菠萝花织物、双面鱼眼组织织物和三层法式罗纹组织织物等3种新型结构的针织织物.可分别用于制作不同类型的体育运动服装,供人们在不同运动量和不同运动项目中穿着.     

服装系统中液态水在不同织物间的传导机理

研究液态水在服装系统中不同织物间的传导，实验表明服装系统中的第一层，第二层织物的性能以及它们相接触的方式均对液体的传导量产生影响，双面的Aquator织物为第一层织物时的服装系统比其他织物所能传导的液体量多，在服装系统中引入保暖层对液体的传导量有不同的影响，在以Aquator织物为第一层织物的服装系统中引入保暖层也将提高液体的总体导量。     

苎麻织物透湿性能影响因素分析

通过测试各种不同规格的苎麻织物的透气、透湿性能,分析了织物厚度和织物总紧度对织物透湿性能的影响.实验证明在高湿与低湿状态下,厚度和总紧度对织物的透湿性能产生的影响是不同的.本文还提出了织物厚度与总紧度的综合影响参数,综合参数对高湿与低湿状态下织物透湿性能的影响是一致的,这为夏季服用苎麻面料的设计提供了依据.     

织物的动态传热传湿性能研究

文章探讨了织物的动态传热传湿性能,认为织物的传热和传湿是相互影响的,为此设计了一台织物的动态传热传湿性能测定仪,对织物在经历干燥—吸湿—放湿—干燥整个过程中所传导的热量(包括干热和湿热)进行了测量.根据测量得到的热流量曲线,本文提出了四个衡量织物动态传热传湿性能的指标,实验结果证明,所用指标能较好地反映织物的动态传导性能。结果表明,经织物所传递的热量大小与织物自身的传湿散热性能有关,湿阻小散热性能好的织物其测得的单位时间内传递的热量值较大.     

吸湿排汗涤纶织物性能评价

采用新的液态水动态传递性能测定方法,对市场上的26种吸湿排汗面料进行评估,用聚类分析方法把吸湿排汗面料分为5类,消费者可以根据不同的要求选用某一类吸湿排汗面料.这里有73%的面料被分至吸湿排汗效果良好及以上的类别中.用分类方法比较不同截面异形纤维的吸湿排汗效果.     

纱线与组织结构对机织物凉爽性能影响

通过优选搭配不同功能的凉爽纤维,开发出一款夏季轻薄凉爽机织物。选择涤纶/薄荷纤维混纺纱作为经纱,选用不同锦纶纤维作为纬纱,选择平纹、斜纹、缎纹为织物组织,制备出了12种样品,探究不同纬纱和织物组织结构对面料热湿舒适性能的影响。结果表明,12种样品中缎纹织物热湿传递性能最好;平纹织物接触瞬间凉感较好;凉感锦纶确实增加了织物的凉爽性能,但是在结构较为紧密的组织中湿传递性能却较差;细旦锦纶的热湿传递性能与凉感锦纶相近,但透气性能较差;十字形截面锦纶在湿传递性能上较好,但是导热性较差。     

新合纤织物的剪切性能与纱线、织物结构及纤维形态结构的关系

实测了新合纤面料中具有代表性织物的剪切性能、纤维形态结构、纱线结构与织物结构,然后用逐步回归方法分析了织物的剪切刚度与其它诸因素的关系,发现在经向紧度普遍大于纬向的情况下影响织物经、纬向剪切性能的主要因素为经向的织物紧度、纱线的捻系数、纱线的细度及纤维的比表面积,这些结果可供化纤长丝织物的性能设计时参考。     

医用防护服用非织造布的热湿舒适性能研究

测试了医用防护服用非织造布的结构特征参数，热湿舒适性方面的透湿透气性，以及KES测试的低负荷下各项力学性能等各项性能。分析了非织造布相较于传统医用服装机织面料在热湿舒适性、触觉舒适性度成型性等方面的特点。通过所设计的实验装置用DL-700C红外热像仪监测了模拟表下微气候的热湿传递特性，以及不同状态时面料表面温度的变化规律。提出了织物表面温度变化率作为表征非织造布的热湿舒适性能的评价指标。     

Coolmax织物导湿性能研究

对Coolmax织物的导湿性能进行研究，设计了10种织物试样，分别测试它们的吸湿排汗能力、透湿率、带液率、干燥速率，讨论了同组织结构不同Coolmax含量及紧度对织物导湿性能的影响。     

叠层织物的抗刺破性能研究

分别选取机织棉织物﹑机织化纤织物及非织造布,从单层到多层测得其刺破直径数据,经分析最终确定叠层织物层数与刺破直径之间的关系为多项式函数关系,并且相关性很高.同时比较了织物紧度及纤维细度对叠层织物抗刺破性能的影响.     

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…     

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).     

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.     

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.