基于转动摩擦铰阻尼器的干式装配梁-柱节点抗震性能试验
Experimental Investigation on Seismic Performance of Dry-connected Beam-to-column Joint Based on Rotational Friction Hinge Damper
申允 1夏成建 1陈强 1王昊祥2
作者信息
- 1. 中铁二院工程集团有限责任公司,四川成都 610031
- 2. 北京建筑大学土木与交通工程学院,北京 100044
- 折叠
摘要
基于转动摩擦铰阻尼器(RFHD),提出了转动摩擦耗能干式装配梁-柱节点(DRFDBJ).为了验证DRFDBJ结构对于实现预期力学性能的可行性和合理性,以施加在摩擦片表面的螺栓预紧力(Pc)为变量,开展了 2个工况下的DRFDBJ试件低周往复拟静力试验研究.结果表明:DRFDBJ结构的力学性能主要由RFHD提供并控制,试验中节点呈现了稳定的承载力和理想的变形、耗能能力,并实现了预期的损伤集中;2个不同Pc水准下节点承载力的试验值与理论值误差不超过5％,通过调整Pc可实现节点承载力的调控,为DRFDBJ结构承载力的可调控提供了支撑.
Abstract
Based on rotational friction hinge damper(RFHD),the dry-connected rotational friction dissipative beam-to-column joint(DRFDBJ)is proposed.Such a joint is expected to feature a good energy-dissipation capacity,ad-justable performance as well as concentrated damage.To validate the feasibility and rationality of the DRFDBJ for a-chieving the expected mechanical performance,two load cases of pseudo-static cyclic experimental tests are carried out.The pre-tension force applied on the surface of the friction pads(Pc),which is a critical parameter of DRFD-BJ,is selected as the test variable.The results indicate that the mechanical properties of DRFDBJ are mainly pro-vided and determined by RFHD.Stable strength,stable deformation and energy dissipation capacities are exhibited in the tests.The expected damage-concentration feature of the joint is achieved.The errors between the experimental value and the theoretical value of the joint bending moment strength with two Pc-values are not more than 5％.The strength of DRFDBJ could be adjusted by varying Pc-value,thus laying a foundation for the strength adjustment of DRFDBJ.The results could serve as a reference for relative investigations on dry-connected precast concrete struc-tures and frictional energy dissipation devices.
关键词
装配式框架结构/干式装配梁-柱节点/转动摩擦阻尼器/摩擦阻尼器Key words
precast concrete frame structure/dry-connected precast beam-to-column joint/rotational friction damper/friction damper引用本文复制引用
基金项目
中国中铁二院工程集团有限责任公司科研项目(KYY201901919-22)
出版年
2024
NETL
NSTL
维普
万方数据