• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Chen, W. (Chen, W..) [1] | Xie, Y. (Xie, Y..) [2] | Guo, X. (Guo, X..) [3] | Li, D. (Li, D..) [4]

Indexed by:

Scopus

Abstract:

Prefabricated beam–column connections are the most vulnerable components of prefabricated buildings during earthquake events. The seismic performance of the beam–column connection is functional as the critical component plays a key role in structural safety. This study aimed to develop a novel hybrid prefabricated concrete (HPC) connection, combining with wet and dry connection techniques, to enhance the seismic performance of prefabricated concrete frames. A quasi-static experimental investigation was carried out to examine the seismic performance of the proposed connection. Two full‐scale prefabricated connection specimens utilizing the proposed HPC connection and another code‐defined monolithic prefabricated concrete (PC) connection were tested under cyclic loading, keeping the axial load on the column constant. The ductility, stiffness degra-dation, energy dissipation capacity, post‐tensioned force, and residual displacement were obtained based on the experimental output. The results indicated that the HPC connection developed had high construction efficiency and better seismic performance than the conventional PC connection. The strength and energy dissipation capacity were significantly improved by up to 52% and 10%, respectively. The cracking and stiffness degradation were well‐controlled. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

beam–column connection; energy dissipation capacity; hybrid connection; post‐tensioned; seismic performance

Community:

  • [ 1 ] [Chen, W.]College of Civil Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Chen, W.]Key Laboratory of Building Collapse Mechanism and Disaster Prevention, China Earthquake Administration, Sanhe, 065201, China
  • [ 3 ] [Xie, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Guo, X.]College of Artificial Intelligence, Yango University, Fuzhou, 350015, China
  • [ 5 ] [Li, D.]College of Civil Engineering, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Li, D.]College of Civil Engineering, China

Show more details

Related Keywords:

Related Article:

Source :

Buildings

ISSN: 2075-5309

Year: 2022

Issue: 6

Volume: 12

3 . 8

JCR@2022

3 . 1 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:245/10036455
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1