基于实际井眼轨迹的抽油杆柱API设计方法

目前的抽油杆柱设计方法大都基于设计井眼轨迹或经验公式，因此设计的抽油杆柱与井眼的匹配性并没有达到最优，结果可能影响了抽油杆柱的受力特性和寿命。概述了目前现有的抽油杆柱设计方法，提出了基于实际井眼轨迹的抽油杆柱API设计方法，即考虑到在三维空间中井下粘滞阻力及动载的影响，利用微单元分析方法计算出轴向载荷与轴向应力，然后在此基础上进行杆柱组合设计，并给出了设计流程。以江苏油田永21-3井为例，对几种设计方法的设计结果进行了对比分析，结果表明，江苏油田目前采用的抽油杆柱设计方法包含了人为经验因素，并不是最优的杆柱设计结果，有待进一步改进。     

浮法玻璃流道唇砖引起的气泡及应急解决措施

介绍了一种由浮法玻璃流道唇砖裂缝产生的玻璃气泡特征,该气泡位置固定,出现在玻璃板的下表面、开口、气泡大小为6～10mm.气泡特征和常见的唇砖泡不同,与槽底泡接近.经过分析、检查、验证,确认为唇砖泡,在没有更换唇砖的情况下,通过采用特殊设计的水包封堵唇砖裂缝,解决了气泡问题.     

基于中轴变换的参数化图形构造方法

图形构造是工程领域中设计图形的重要手段,针对其在效率、交互性和复用性存在的不足,提出一种基于中轴变换的参数化图形构造方法.通过控制点生成中轴段,通过中轴半径确定图形边界信息.基于上一条中轴段的端点迭代生成中轴段及其边界;基于这些边界信息,构造出图形.利用中轴的控制点进行交互,确保了构造时的交互性;只需对参数值进行改变,即可构造相似的图形,保证了方法的复用性;复杂的图形仅需要通过简单的中轴变换即可得出,确保了构造方法的效率.通过实例,证明了该方法在效率、交互性和复用性上的优越性.     

Transform coding on programmable stream processors

Stream processors can achieve high performance in stream applications that share stream characteristics of large parallelism, intensive computation and little data reuse. Transform coding, as a core component in video compression, is widely used in video storage and video transmission. This paper summarizes stream execution mechanism and explores design approaches of programmable stream processors including the Imagine stream processor and graphics processing unit (GPU). Based on the stream processing model, stream algorithms for block-based and frame-based (nonblock-based) transform coding are presented and mapped onto stream processors. Especially, an Interleaved Streaming Transform (IST) algorithm on Imagine and a Row-wise Zonal Transform (RZT) algorithm on GPU for 4×4 integer transform in H.264 are proposed to exploit great potential of stream processing for block-based transform. Our experiments of transform coding suite on Imagine and GPU show that the coding efficiency of stream processors is far beyond the real-time requirements of current video applications, dealing with a variety of different video resolutions ranging from QCIF to high definition (HD). The performance evaluation of stream implementations discusses the architectural supports for transform coding, and presents the significant improvements over other programmable platforms. Transform coding may take advantage of the flexibility of programmable stream processors with high performance to play an important role in the future.

大连港服役50年混凝土的力学性能与耐久性

本文分别研究了大连港服役11年和50年的某码头大气区、浪贱区和潮汐区混凝土的外观破坏情况和物理力学性能,测定了不同深度混凝土的氯离子含量分布以及混凝土电阻率和RCM氯离子扩散系数(DRCM)等耐久性参数,探讨了部分耐久性参数之间的相关关系。结果表明,两个年代海洋码头的潮汐区混凝土都存在剥落现象,其中服役50年码头的大气区和浪溅区混凝土还存在裂缝现象。综合文献数据研究发现,海洋混凝土结构的表面自由氯离子含量随着暴露时间的延长呈指数函数或幂函数的增长关系,且服役早期增长较快,服役后期增长速度减缓。海洋混凝土结构的表观氯离子扩散系数随暴露时间的延长呈现经典的幂函数衰减关系。     

基于可靠多播的交互式远程教学环境的研究和框架设计

在广域网环境下,实现基于IP组播网络的交互式远程教学环境的可行性进行了简要的分析,在此基础上提出了一种基于可靠多播技术,及易于扩避孕药的系统框架设计方案。     

分布式实时系统双工容错技术研究

本文介绍一个高可用性的分布式实时双工系统。文中首先建立了系统模型,通过模型给出了系统高可用性的定量公式,最后着重介绍了实现双工的几种主要技术,包括机组切换、数据恢复和双工结果处理等。     

Analytical model of elastic modulus and coefficient of thermal expansion for 2.5D C/SiC composite

To make better use of 2.5D C/SiC composites in industry, it is necessary to understand the mechanical properties. A finite element model of 2.5D composites is established, by considering the fiber undulation and the porosity in 2.5D C/SiC composites. The fiber direction of warp is defined by cosine function to simulate the undulation of warp, and based on uniform strain assumption, analytical model of the elastic modulus and coefficient of thermal expansion (CTE) for 2.5D C/SiC composites were established by using dualscale model. The result is found to correlate reasonably well with the predicted results and experimental results. The parametric study also demonstrates the effects of the fiber volume fraction, distance of warp yarn, and porosity in micro-scale on the mechanical properties and the coefficients of thermal expansion.     

Parameter identification of proton exchange membrane fuel cell via Levenberg-Marquardt backpropagation algorithm

It is essential to develop an accurate model of proton exchange membrane fuel cell (PEMFC) for a reliable operation and analysis, in which unknown parameters usually need to be determined. The inherent nonlinear, strong coupling, and diversification of PEMFC model seriously hinder traditional methods to identify the parameters. For the sake of overcoming these thorny obstacles, Levenberg-Marquardt backpropagation (LMBP) algorithm based on artificial neural networks (ANNs) is proposed for PEMFC parameter identification. Furthermore, the performance of LMBP is thoroughly evaluated and compared with four typical meta-heuristic algorithms under three cases. Simulation results indicate that LMBP performs a higher accuracy and faster speed for parameter identification. In particular, accuracy and convergence speed can achieve as much as 99.8% and 95.9% growth via LMBP, respectively.     

热轧带钢力学性能在线预测模型的开发与应用

热轧带钢力学性能在线预测技术能够优化生产工艺、改善成品质量。为此,在传统数学模型的基础上,采用Bayes神经网络建立了热轧带钢力学性能在线预测新模型。介绍了基于Bayes理论方法的神经网络、数据预处理方法、数据平台的搭建,力学性能在线预测模型输入参数的选择,以及基于某1 780 mm热轧带钢生产线,对以SPA-H、510L、610L为代表的典型钢种带钢力学性能的预测精度。结果表明,屈服强度预测相对误差在±6%范围内,抗拉强度预测相对误差在±6%范围内,伸长率预测相对误差在±4%范围内。在线预测系统的开发与应用不仅能优化生产工艺,而且还能减少成品力学性能的检测样本量,降低了生产成本。