Use of FRP for RC Frames in Seismic Zones: Part II. Performance of Steel-Free GFRP-Reinforced Beam-Column Joints

The use of FRP as reinforcement in concrete structures has been growing rapidly due to its advantages over conventional steel reinforcement (e.g., corrosion resistance, light weight, magnetic neutrality). A potential application of FRP reinforcement is in structural concrete frames. However, current seismic design standards and detailing criteria for beam-column joints were established for steel reinforcement and may be unsuitable for FRP reinforcement due to its different mechanical properties. During recent earthquakes, many structural collapses were initiated or caused by beam-column joint failures. Since there are no detailed specifications for the application of FRP reinforcement in seismic zones, research is needed to gain a better understanding of the behaviour of FRP-reinforced concrete under seismic loading. In this study, two full-scale beam-column joint specimens reinforced with steel and GFRP, respectively, were tested in order to investigate their performance in the event of an earthquake. The control steel-reinforced specimen is detailed according to the Canadian Code (CSA A23.3-94) recommendations. The GFRP-reinforced specimen is detailed in a similar scheme but using a GFRP grid. The behaviour of the two specimens under reversed cyclic loading, their load-storey drift envelope relationship and energy dissipation ability were compared. The GFRP-reinforced specimen showed a predominantly elastic behaviour up to failure. While its energy dissipation was low, its performance was acceptable in terms of total storey drift demand.     

空心半螺栓球节点的弹塑性分析研究

采用２０节点３在元对一种新型空心半螺栓球节的弹塑性变形状态进行了有限元分析,通过节点的电测试验,证明了文中所述理论分析方法是正确的,指出了该节点有待改进之处。     

神经元网络——它的背景、进展和问题

近年来神经元网络研究的进展,在国际学术界引起了强烈的轰动,成了各界学人的热门话题.本文分析了神经元网络研究的来龙去脉,简要介绍了若干代表性的进展,指出了这一研究的意义、问题和进一步研究的方向,希望引起各界同仁的关注.     

基于网格的参数自动化聚类算法

提出了一种基于网格的参数自动化聚类算法PAG，主要目的是解决传统的网格聚类算法对参数敏感的问题．算法采用参数自动化技术来处理参数，即算法开始运行时所需的参数直接由参数自动化技术中的公式计算得出，不需要用户输入任何参数．通过对大量数据集的实验表明，该算法可扩展性好，能处理任意形状和大小的聚类，能够很好地识别出孤立点或噪声，并且有很好的精度．     

Challenges and R&D opportunities of smart distribution grids in China

In this paper, 5 investigations on the current states of power distribution grids in China have been introduced that cover the surveys of the practical distribution asset utilization, the simultaneity factor of feeder loading, the load compositions and characteristics, the urban reliability and the integration of distributed generations of renewable resources. Based on the survey results in the investigations, 12 Facts are clearly presented. It shows that the challenges to modernize the distribution grids in China are to improve the asset utilization rates, the electricity efficiencies and the reliability of distribution systems, as well as to integrate increasing amount of variable distributed renewable resources. Furthermore based on the challenges, 8 R&D opportunities have been identified.     

配置式数据展现工具的设计与应用

为满足电网企业数据应用环境实时与非实时、业务处理与辅助分析等多种应用场景和多级应用部署等应用需求,尤其对如何将数据处理为信息、信息转换为知识、结果可视化展现提出了很高的要求。文章初步分析数据展现的几种模式,提出了采用FLEX工具、应用配置式的方法实现数据的可视化。通过开发配置式数据展现工具,降低电网企业数据展现开发的复杂度,提高数据展现的直观性。     

电网短路电流限制技术探析

为提高系统运行的安全性及稳定性,降低故障大电流已成为一种迫切需求.文章首先介绍了当前短路电流的发展水平,并对现有的限流技术进行了概述,且简要分析了限流技术中各自的优缺点,最后对限流应用的未来提出了展望.     

电力电子在微电网、智能电网、智能社区中的应用动向

为了可持续使用能源和保护地球环境,世界各国都在积极开发利用可再生能源。但可再生能源大量并网后会引发哪些新问题?未来的能源格局将如何变化?各国都还在探索之中。本文以富士电机的案例为基础,介绍该公司在新能源开发利用、微电网、智能电网、智能社区、能源管理、通信网络、电力稳定、供需平衡等方面的一些构想,从中导出电力电子的未来走向。     

对迎接知识经济时代到来的思考

知识经济是当前人们讨论的热门话题之一。对知识经济时代到来及由此产生的深刻变化应有充分的准备。作者就知识经济的意义及如何发展知识表明几点看法。     

制造网格环境下的制造资源信誉度模型研究

针对制造网格环境下的制造资源欺诈问题,提出一种面向制造网格环境的制造资源信誉度模型。该模型通过审核制造资源的资质信息,计算其信誉度初值。该模型根据资源消费者对其服务质量的评价信息,及时更新制造资源信誉度。仿真分析结果表明,在制造网格中引入信誉度模型,能够有效规避风险,促进制造资源的诚信服务。