浅谈设备进口过程的管理

自从中国加入WTO以来，国内公司与国外公司的交流越来越频繁，合作也越来越多。本文结合中厚板卷厂炉卷工程轧钢部分的项目建设，介绍了设备进口过程的一些管理程序。     

压缩式封隔器胶筒变形阶段力学分析

封隔器是常用试采井下工具,胶筒是封隔器中最重要的部件。将压缩式胶筒的变形分为自由变形和约束变形2个阶段,分析了其绝对体积变化规律,得到了使胶筒刚好与井壁接触的轴向力,据此可以确定最小坐封载荷;得到了井壁和中心管对胶筒的约束压力,在此基础上得到了压缩式胶筒的各个应力分量和第四相当应力,据此可以给出坐封力下胶筒的强度,确定合理的坐封力。实例计算解释了现场封隔器胶筒在坐封载荷作用下损坏的原因。     

An algorithm for the three-dimensional packing problem with asymptotic performance analysis

The three-dimensional packing problem can be stated as follows. Given a list of boxes, each with a given length, width, and height, the problem is to pack these boxes into a rectangular box of fixed-size bottom and unbounded height, so that the height of this packing is minimized. The boxes have to be packed orthogonally and oriented in all three dimensions. We present an approximation algorithm for this problem and show that its asymptotic performance bound is between 2.5 and 2.67. This result answers a question raised by Li and Cheng [5] about the existence of an algorithm for this problem with an asymptotic performance bound less than 2.89. This research was partially supported by FAPESP (proc. 93/0603-1) and by CNPq/ProTeM-CC, project ProComb (proc. 680065/94-6).     

Effect of the particle size ratio on the conductivity of conductor-insulator powder composites: Numerical simulation

A theoretical method for determining the percolation limit and effective conductivity of composites based on polydisperse mixtures of insulator and conductor powders is proposed. The effect of the particle size ratio between the insulator and conductor on the percolation limit and effective conductivity is studied. Numerical simulation of the microstructure, effective properties, and percolation limit in composites is discussed. __________ Translated from Poroshkovaya Metallurgiya, Vol. 46, No. 1–2(453), pp. 31–40, 2007.     

一种用于粮食分装机的电子称重系统

由单片机系统、称重传感器、电磁阀等组成的粮食分装机电子称重系统，具有定量分装、自动去皮、累计量计算、数据实时显示、定标、通讯等功能．采用粗、精两通道送料方式．提高了分装精度。整个系统运行可靠、精确度高。     

A note on circle packing

The problem of packing circles into a domain of prescribed topology is considered. The circles need not have equal radii. The Collins-Stephenson algorithm computes such a circle packing. This algorithm is parallelized in two different ways and its performance is reported for a triangular, planar domain test case. The implementation uses the highly parallel graphics processing unit (GPU) on commodity hardware. The speedups so achieved are discussed based on a number of experiments.     

利用改进的差分进化算法求解等圆Packing问题

等圆Packing问题属于强约束的复杂组合优化问题之一,针对其强约束特点及难点,通过改进传统的差分进化算法,提出一种等圆Packing问题的求解方法。该改进算法特点是将有效解空间加入差分进化的变异约束中,并采用随机排序机制改进差分进化的选择机制。通过多次实验,表明此算法在求解小规模等圆Packing问题上取得的效果与目前所能找到的最优值相差不到0.6%,从而验证了演化计算在求解等圆Packing问题的可行性;与此同时,演化算法具有很好的收敛性,因此在其他强约束的复杂优化问题上将有很好的应用。     

结构性黄土压缩特性的微观非连续变形分析

黄土的结构性与其形成过程密切相关,并对其物理力学性质产生重要影响。针对结构性黄土的大孔隙和胶结特性,对DDA算法进行了扩展,将结构性黄土中起主要胶结作用的黏粒胶结嵌入已有的DDA算法中;使用Monte Carlo法和DDA模拟黄土的沉积过程,该方法能够模拟颗粒下落过程中的相互碰撞及摩擦,分析结构性黄土在压缩过程中颗粒的平动和转动规律,由此构建与原状黄土孔隙比接近的微观结构模型;进一步使用扩展DDA对所生成的黄土结构模型进行不同压力下的一维压缩试验模拟,并与室内压缩试验进行对比。发现胶结试样颗粒位移比不含胶结试样颗粒位移小,但整体规律相似;每个颗粒位移的大小和方向不尽相同,但主要以竖向位移为主;在压缩过程中,不同区域的颗粒位移存在较大差异,上部颗粒位移大,越往下部颗粒的位移越小。该研究成果可为从微观认识黄土力学行为提供一条途径。     

结构化对等网络特性及关键技术分析

本文简述了对等网络的概念及分类,分析了结构化对等网络特性、存在问题和关键技术,指出结构化对等网络的发展前景。     

Average-case analysis of the Modified Harmonic algorithm

In this paper we analyze the average-case performance of the Modified Harmonic algorithm for on-line bin packing. We first analyze the average-case performance for arbitrary distribution of item sizes over (0,1]. This analysis is based on the following result. Letf ₁ andf ₂ be two linear combinations of random variables {N _i } _i=1 ^k where theN _i 's have a joint multinomial distribution for eachn= _i=1 ^k ,N _i . LetE(f ₁) O andE(f ₂) 0. Then lim_n E(max(_{f 1},f ₂ ))/n = lim _n max(E(f ₁),E(f ₂))/n. We then consider the special case when the item sizes are uniformly distributed over (0,1]. For specific values of the parameters, the Modified Harmonic algorithm turns out to be better than the other two linear-time on-line algorithms—Next Fit and Harmonic—in both the worst case as well as the average case. We also obtain optimal values for the parameters of the algorithm from the average-case standpoint. For these values of the parameters, the average-case performance ratio is less than 1.19. This compares well with the performance ratios 1.333. and 1.2865. of the Next Fit algorithm and the Harmonic algorithm, respectively.