摘要
为了研究预制装配式混凝土框架结构节点的设置位置问题,运用控制变量结合数值模拟的方法,用结构分析有限元软件SAP2000建立框架模型,研究分析梁的最小主应力点的位置.结果表明:主、次梁截面尺寸、楼板厚度、楼面荷载的变化4因素对中间跨主梁段应力极小值点位置(1/4处)影响极小,可以忽略;主梁跨度对应力极小值点位置有较小影响,梁两端极小值点距离最近端点的距离与梁长的比值接近0.25,极差仅为2×10-6,一开间次梁的根数对主梁应力极小值点的影响较大,随着次梁根数的增加,梁两端极小值点距相邻端点的距离与梁长的比值在0.2~0.25.综合分析认为梁柱连接节点的最佳设置位置为梁端1/5~1/4处.
In order to research the optimum positions of the joints in the precast concrete frame structure, the control variable method is used considering the main beam and secondary beam section sizes, floor load size, floor thickness, number of secondary beams, span of main beam and other factors; 6 groups of finite element framework models are built by SAP2000. Through analysing the positions of minimum stress of main beams, the positions of joints the beam and the column are determined. The results show that: the size of the main and secondary beams, the slab thickness, the changes of the surface load has little influence on the minimum stress point of the middle span girder; so it can be ignored; the main beam span has a certain impact on position of minimum stress; the minimum difference ratio of the closest endpoint distance and the beam length is only 2× 10-6. The number of the secondary beam in a room inside has a great impact on the influence, with the increase of the secondary beam number, the ratio of the closest endpoint distance and the beam length ranged from 0.20 to 0.25. Finally, the precast concrete frame structure joints of beam and column sets in the distance about 1/5 to 1/4 points.
作者
周万清
门梦飞
张明玉
Zhou Wanqing Men Mengfei Zhang Mingyu(Key Laboratory of Disaster Prevention & Mitigation of Hubei Province, China Three Gorges Univ. , Yichang 443002, China Collaborative Innovation Center for Geo-hazards and Eco-environment in Three Gorges Area of Hubei Province & Architecture, China Three Gorges Univ. , Yichang 443002, China)
出处
《三峡大学学报(自然科学版)》
CAS
2017年第3期36-39,共4页
Journal of China Three Gorges University:Natural Sciences
基金
国家自然科学基金(51608303
41102187)
关键词
预制装配式
节点
位置
影响因素
应力极值
precast
joint
nosition
influence factors
stress extreme value