行为经济学——一门新兴的学科

进入９０年代以来，经济的发展又一次推动着经济理论的发展和演变．新经济的现象不断出现，使得经济学靠模型和计算机未能找到解决问题的答案，正统经济学再次受到严峻的挑战．与此同时，行为经济学，以人类的行为作为基本研究对象的经济理论，正逐步发展起来．本文将介绍行为经济学的产生和发展、主要理论观点以及一些行为分析对中国社会经济发展的启示．     

综合评价招标中的施工组织设计文件

通过某大厦工程招投标实例，介绍了如何运用定性、定量分析相结合的方法，综合评价招标中的施工组织设计文件，从而为评标定标提供可靠的参考依据。     

φ800mm铸造轧辊热处理节能探讨

试验通过改变直径800mm铸造轧辊热处理时的加热速度和保温时间，确定了较佳的工艺规程，取得了明显的节能效果．     

杆板结构系统的可靠性分析

提出一种可模拟飞行器翼面等薄壁结构的杆板结构系统的可靠性分析方法，导出在Ｍｉｓｅｓ屈服条件下平面应力元件的完全裕量方程。     

半质环的交换性条件

给出了Ｂａｅｒ半单纯环的两个交换性条件，并对其中心元进行了讨论，得到了两个结果。     

活性炭净水应用技术问题的探讨

本文综述了活性炭在给水处理中的几种应用方法，对应用中存在的问题进行了探讨．     

A novel method of structural shape optimization coupling BEM with an optimization method based on biological growth

Local stress peaks are the main reason for fatigue failure of structures, and therefore many researchers make every effort to search for effective methods of structural shape optimization. Mattheck and Burkhard (1990) have developed a method by simulating the self-optimization mechanism of biological growth, using FEM. BEM is a very effective method in which only the boundary is divided into elements, and particularly, accurate results at the boundary can be obtained. It is obvious that BEM is a more suitable analysis method for structural shape optimization than FEM. Coupling BEM of three-dimensional thermoelasticity problems with an optimization method based on biological growth, a novel method of structural shape optimization is successfully developed by the authors. Several examples are used to demonstrate that the method is successful and efficient.     

Comments on “Robust tracking control for rigid roboticmanipulators”

In the original paper by M. Zhihong and M. Palaniswami (ibid., vol.39, p.154-9, 1994), a robust tracking control using a nominal feedback controller and a variable structure compensator for a rigid robotic manipulator with uncertain dynamics was presented. It is assumed that the model uncertainty is bounded. The author claims that this assumption is not necessarily correct and that the results obtained are therefore untenable     

基于碰撞算法的冲裁件优化排样系统的开发

把碰撞理论应用在冲裁件优化排样中，通过增加对圆弧分段处理的步骤，采用直接对圆弧计算的方法，减少了计算复杂度。解决了排样件的非直线轮廓线性化所带来的离散精度与计算效率的矛盾。适合用于解决含有圆弧的复杂轮廓的同类零件优化排样。基于此算法作者开发了冲裁件的优化排样系统，自动计算零件间的碰撞距离、冲裁步距和最优排放角度。利用本研究的对头双排法裁料，可以把材料利用率从普通双排的76．6％提高到81．4％。     

基于遗传模拟退火算法的矩形件排样

将遗传模拟退火算法运用在矩形件排样中,利用遗传模拟退火算法的全局搜索能力,寻找出排样件最优的排样次序(排列最紧密),再结合基于局部板材利用率最高的填充算法不断填充板材,获得近似总体最优的排样结果。此结果适合应用于大批量、多种类的矩形件优化样。