高性能管线钢控制轧制与控制冷却

从加热温度、轧制变形量、终轧温度三方面论述了高性能管线钢在生产过程中的控制轧制工艺,分析了开冷温度、终冷温度、冷却速度等方面在控制冷却中对高性能管线钢最终组织结构和性能的影响,以及微合金化元素Nb、Ti、V在控轧控冷中的作用,为高性能管线钢的生产工艺参数制定提供理论基础。     

基于ParaViewWeb架构的GPU高性能运算实现

针对智能手机、平板电脑等移动终端计算能力有限的问题,提出一种基于网络的通用计算服务平台。该平台以服务的方式为移动终端提供远程计算支持,增强其进行复杂运算的能力。利用ParaViewWeb架构的可扩展性,将高性能GPU通用计算与ParaViewWeb架构结合,在保留ParaViewWeb原有的三维数据分析与可视化功能的基础上,扩展其远程调用服务器GPU运算资源的能力。选取医学图像滤波算法为实验对象,验证了该平台的有效性,结果表明对比本地应用,基于网络的应用取得了显著加速。     

钢纤维对C60高性能混凝土弯曲韧性的影响

简要综述了国内外关于钢纤维混凝土弯曲韧性指数的计算方法,并选取我国现行的规程JGJ/T 221—2010试验方法,通过钢纤维高性能混凝土的弯曲韧性试验,研究了钢纤维体积分数和钢纤维类型对钢纤维高性能混凝土弯曲韧性的影响.结果表明:钢纤维高性能混凝土峰值荷载与弯曲韧性均随着体积分数的增大而提高;微细型钢纤维提高混凝土弯曲强度指标幅度最大,端钩型钢纤维提高混凝土弯曲韧性指标幅度最大.     

钢/聚丙烯混杂纤维对HPC深梁受弯性能的影响

为研究钢纤维和聚丙烯纤维对高性能混凝土(HPC)深梁受弯性能的影响,对17根含有不同钢纤维(体积掺量≤1%)和聚丙烯纤维(体积掺量≤0.2%)以及不同纵筋配筋率的HPC简支深梁进行4点受弯性能试验.结果显示:单一纤维或混杂纤维增强HPC深梁的初裂荷载提高了10%～40%;混杂纤维增强HPC适筋深梁的纵筋屈服荷载提高50%～150%,极限受弯承载力提高1～2倍,但无筋的混杂纤维HPC深梁承载力很小,破坏为剪切脆性破坏.试验结果表明:混杂纤维可以极大提高HPC深梁的受弯承载力,但混杂纤维的作用不能代替纵向钢筋的作用;可采用复合材料强度叠加原理及剩余弯曲强度理论来探讨混杂纤维增强HPC深梁的极限受弯承载力计算公式.     

高效液相色谱法测定镇江香醋中5-羟甲基糠醛的含量

采用高效液相色谱法,对镇江香醋中5-羟甲基糠醛进行了定量分析.样品中的HMF含量的测定条件为：以甲醇-水溶液（体积比为5∶95）为流动相,流速为1.0 mL/min,采用Venusil XBP-C18色谱柱分离,柱温为30℃,UV检测器的检测波长为284 nm.定量分析结果表明,镇江香醋中HMF的含量为8.01 mg/kg.高效液相色谱法分析镇江香醋中HMF含量的方法测定准确,稳定性高,HMF在0.014 3～0.085 8μg的进样范围内线性相关系数为R2=0.999 9,平均回收率98.66%,相对标准偏差为5.53%.     

高效液相色谱法测定高纯度邻羟基苯甲醚

对用高效液相色谱-反相色谱内标法测定高纯度邻羟基苯甲醚进行了研究。采用C18反相柱,流动相为V（甲醇）：V（质量分数为0．2％乙酸水溶液）=50：50,紫外检测波长为275nm,流速为0．8mL／min。邻羟基苯甲醚的最低检测质量浓度为0．04ug／mL,在0．1～100ug／mL范围内邻羟基苯甲醚的峰面积与质量浓度的线性关系良好（y=0．9999）。以对苯二酚为内标物,用内标法检测高纯度邻羟基苯甲醚含量。用此方法邻羟基苯甲醚回收率为99．9％～100．2％。     

GekkoFS—A Temporary Burst Buffer File System for HPC Applications

Many scientific fields increasingly use high-performance computing(HPC)to process and analyze massive amounts of experimental data while storage systems in today's HPC environments have to cope with new access patterns.These patterns include many metadata operations,small I/O requests,or randomized file I/O,while general-purpose parallel file systems have been optimized for sequential shared access to large files.Burst buffer file systems create a separate file system that applications can use to store temporary data.They aggregate node-local storage available within the compute nodes or use dedicated SSD clusters and offer a peak bandwidth higher than that of the backend parallel file system without interfering with it.However,burst buffer file systems typically offer many features that a scientific application,running in isolation for a limited amount of time,does not require.We present GekkoFS,a temporary,highly-scalable file system which has been specifically optimized for the aforementioned use cases.GekkoFS provides relaxed POSIX semantics which only offers features which are actually required by most(not all)applications.GekkoFS is,therefore,able to provide scalable I/O performance and reaches millions of metadata operations already for a small number of nodes,significantly outperforming the capabilities of common parallel file systems.     

Mochi: Composing Data Services for High-Performance Computing Environments

Technology enhancements and the growing breadth of application workflows running on high-performance computing(HPC)platforms drive the development of new data services that provide high performance on these new platforms,provide capable and productive interfaces and abstractions for a variety of applications,and are readily adapted when new technologies are deployed.The Mochi framework enables composition of specialized distributed data services from a collection of connectable modules and subservices.Rather than forcing all applications to use a one-size-fits-all data staging and I/O software configuration,Mochi allows each application to use a data service specialized to its needs and access patterns.This paper introduces the Mochi framework and methodology.The Mochi core components and microservices are described.Examples of the application of the Mochi methodology to the development of four specialized services are detailed.Finally,a performance evaluation of a Mochi core component,a Mochi microservice,and a composed service providing an object model is performed.The paper concludes by positioning Mochi relative to related work in the HPC space and indicating directions for future work.