摘要
为研究纤维增强混凝土(FRC)框架结构体系预期损伤部位的损伤程度控制和性能评估方法,采用ABAQUS有限元软件对该框架结构模型进行动力时程分析。针对该结构体系,研究其各种性能水准极限状态的定性描述和量化方法,并进行结构抗震性能评估。研究结果显示,预期损伤部位采用FRC材料,可以减小RC框架结构的层间残余侧移角、柱端截面最大转角和柱截面最大残余转角,可以控制整体结构和构件的损伤程度。给出FRC框架结构在不同性能水准下分别以柱截面转角、层间侧移角和层间残余侧移角为性能指标的限值。综合考虑FRC材料的特性和仿真结果的分析,建议选用层间残余侧移角进行性能评估更为合理。考虑8倍板厚翼缘宽度,柱梁抗弯承载力比达到1.2,FRC框架结构在8度设防烈度对应的地震作用下可达到性能等级D。
To study the damage degree control and the performance evaluation method of fiber reinforced concrete(FRC)frame structures,the ABAQUS finite element software was adopted to conduct a dynamic time-history analysis on several FRC frame models.The qualitative description and quantitative methods of limit states of various performance levels were studied,and the seismic performance of the structure was evaluated.According to the results,the FRC in the expected damage position can reduce the residual inter-story drift ratio,the maximum rotation angle of column end section,and the maximum residual rotation angle of column section,that is,the damage degree of the overall structure and members can be controlled.Then the limit values of column section angle,story drift ratio,and residual story drift ratio of FRC frame structure under different performance levels were given.Considering the characteristics of FRC material and the simulation results,this study suggested to select the residual inter-story drift ratio for performance evaluation.The FRC frame structure with a column-to-beam flexural strength ratio of 1.2,which considers the flange width of 8 times the plate thickness,can achieve the performance objective D.
作者
陆婷婷
梁兴文
LU Tingting;LIANG Xingwen(Shaanxi Key Laboratory of Safety and Durability of Concrete Structures, Xijing University, Xi'an 710123, Shaanxi, China;College of Civil Engineering, Xi'an University of Architecture & Technology, Xi'an 710055 Shaanxi, China)
出处
《地震工程学报》
CSCD
北大核心
2021年第5期1197-1207,共11页
China Earthquake Engineering Journal
基金
国家自然科学基金项目(51278402,51078305)。
关键词
FRC
框架结构
性能评估
性能指标
动力分析
fiber reinforced concrete(FRC)
frame structure
performance evaluation
performance index
dynamic analysis
