Study on Shear Performance of Web-Embedded Composite Shear Connector

Author:

Xu Xiaoqing12ORCID,Sun Tuoying13,Hu Shiao13,Tan Hongmei13ORCID,Wang Yuxiao34,Zeng Yong13ORCID

Affiliation:

1. State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China

2. School of Civil Engineering, Tongji University, Shanghai 200092, China

3. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China

4. Construction Branch of State Grid Sichuan Electric Power Company, Chengdu 610056, China

Abstract

Based on the existing research on connectors, a web-embedded composite shear connector was proposed in this paper. Further, six types of push-out specimens were carried out on static push-out and low-cycle repeated load tests. The failure forms, load–slip curves, and load–strain curves of the tests are analysed. On the basis of the experiment, the finite element analysis is also carried out to enlarge the parameters of the specimens. The results showed that the shear stiffness of the web-embedded composite shear connector was larger than that of pure stud shear connector or perfobond rib shear connector, the slip limit was smaller, and ductility was good. A parameter analysis showed that penetrating steel rebars have the greatest impact on ultimate shear bearing capacity, reaching 43.82% of ultimate shear bearing capacity. Following repeated loading, the ultimate shear bearing capacity of the specimen decreased, the ultimate slip increased, and the ductility decreased. Based on the experimental results of this study, a new calculation equation for the ultimate shear bearing capacity of a web-embedded composite shear connector was proposed with a finite element model for verification.

Funder

Chongqing Municipal Education Commission

National Key R&D Program Fund

State Key Laboratory of Mountain Bridge and Tunnel Engineering

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3