纤维混凝土在水工建筑工程中的应用(上)

概述改性混凝土垢发展情况，介绍纤维混凝土在国内外水工建筑物上的应用实例，提出钢纤维增强钢筋混凝土水工建筑结构强度计算方法。包括受弯构件正截面强度，斜截面抗剪强度的计算；重点介绍了网状钢纤维增强混凝土（FOC）在水工建筑物上的应用，包括在渡槽，闸门，小型拦河坝，轻型岸型等工程上的应用实例，T新梁正斜截面的强度计算，板材承载力计算的方法。     

混凝土渠道糙率原型观测

糙率是渠道水力设计的关键技术参数之一，其值的准确选取决于已建工程原型观测成果的类比。选择3条不同衬砌特性的混凝土渠道进行糙率原型观测，对观测方法及步骤做了较详细描述；计算出了3条渠道的糙率，对其存在误差进行了分析探讨，可为今后进一步开展相关课题研究积累经验并供同行参考。     

钢纤维喷射混凝土作为面板材料的可行性研究

钢纤维混凝土作为一种新型增强材料，以其较好的受力变形特性在水利水电，交通，海岸防护，港口及军事等诸多工程中得到了广泛的应用。针对混凝土面板堆石坝面板的受力变形特点，为改善水布垭面板堆石坝面板的受力条件，提高其防渗能力，同时方便施工，现提出采用钢纤维喷射混凝土作为水布垭面板堆石坝面板材料的新构想，并通过对钢纤维喷射混凝土的物理力学特性及堆石坝面板受力变形进行分析，为钢纤维喷射混凝土在水布垭面板堆石坝面板中的实际应用提出了建议方案。     

预应力钢筒混凝土管穿越地下管线的施工措施

文中介绍了预应力钢筒混凝土管的概念、优越性，并结合山西省万家寨联接段引黄工程的实际施工，总结出了穿越各种地下管线的施工经验。     

温度场有限元分析的接缝单元

目前混凝土坝的仿真分析正从单坝段仿真向全坝仿真发展,因而需要采用接缝单元,笔者给出三种温度场接缝单元的计算模型：有限厚度接缝单元、近零厚度接缝单元及简化接缝单元.     

尼尔基主坝碾压式沥青混凝土心墙施工质量控制

尼尔基水利枢纽工程主坝为碾压式沥青混凝土心墙砂砾石坝（导流明渠段采用浇筑式沥青混凝土心墙），此种坝型在我国北方寒冷地区是首次采用。通过对原材料、沥青混凝土制备和现场铺筑的质量控制，经采用无损检测和钻孔取芯样对成墙质量的检验，工程优良率达到100％，并创造了多项国内施工记录，为国内沥青混凝土心墙施工积累了宝贵经验。     

浅谈界河倒虹吸预应力混凝土裂缝的预控措施

文章在通过对混凝土裂缝产生的原因进行分析的基础上,阐述了对在界河倒虹吸施工中预应力混凝土裂缝所采取的预控措施。     

Corner flow in free liquid films

A lubrication-flow model for a free film in a corner is presented. The model, written in the hyperbolic coordinate system ξ = x ² −y ², η = 2xy, applies to films that are thin in the η-direction. The lubrication approximation yields two coupled evolution equations for the film thickness and the velocity field which, to lowest order, describes plug flow in the hyperbolic coordinates. A free film in a corner evolving under surface tension and gravity is investigated. The rate of thinning of a free film is compared to that of a film evolving over a solid substrate. Viscous shear and normal stresses are both captured in the model and are computed for the entire flow domain. It is shown that normal stress dominates over shear stress in the far field, while shear stress dominates close to the corner. This revised version was published online in October 2005 with corrected page numbers.     

A VLSI architecture for a half-edge-based corner detector

Corner detection is a low-level feature detection operator that is of great use in image processing applications, for example, optical flow and structure from motion by image correspondence. The detection of corners is a computationally intensive operation. Past implementations of corner detection techniques have been restricted to software. In this paper we propose an efficient very large-scale integration (VLSI) architecture for detection of corners in images. The corner detection technique is based on the half-edge concept and the first directional derivative of Gaussian. Apart from the location of the corner points, the algorithm also computes the corner orientation and the corner angle and outputs the edge map of the image. The symmetrical properties of the masks are utilized to reduce the number of convolutions effectively, from eight to two. Therefore, the number of multiplications required per pixel is reduced from 1800 to 392. Thus, the proposed architecture yields a speed-up factor of 4.6 over conventional convolution architectures. The architecture uses the principles of pipelining and parallelism and can be implemented in VLSI.