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Author:

Liu, Jielin (Liu, Jielin.) | Xin, Haohui (Xin, Haohui.) | Zhao, Xiao-Ling (Zhao, Xiao-Ling.)

Indexed by:

EI SCIE Scopus Engineering Village

Abstract:

Evaluating the fatigue behavior of steel structures strengthened with prestressed carbon fiber reinforced polymer (CFRP) is of great significance for structural repair and rehabilitation. In this paper, an analytical model based on linear elastic fracture mechanics considering the additional elongation of the steel plate caused by the central crack opening was proposed to predict the fatigue behavior of prestressed CFRP strips strengthened steel plates. The finite element model calibrated by experiments was used to verify the proposed model. The results showed that the proposed model can predict the stress state of various components, the stress intensity factor SIF amplitude, the fatigue crack growth life, and the minimum prestress of CFRP strips required for crack arrest under different strengthening conditions with high accuracy. This study will be conducive to a better application of the prestressed CFRP strengthening of thin-walled steel structures under fatigue loading. © 2022 Elsevier Ltd

Keyword:

Carbon fiber reinforced plastics Ductile fracture Fatigue crack propagation Finite element method Forecasting Plates (structural components) Steel fibers Steel structures Strengthening (metal) Thin walled structures

Author Community:

  • [ 1 ] [Liu, Jielin]Department of Civil Engineering, Xi'an Jiaotong University, Xi'an; 710116, China
  • [ 2 ] [Xin, Haohui]Department of Civil Engineering, Xi'an Jiaotong University, Xi'an; 710116, China
  • [ 3 ] [Zhao, Xiao-Ling]Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong

Reprint Author's Address:

  • H. Xin;;Department of Civil Engineering, Xi'an Jiaotong University, Xi'an, 710116, China;;email: xinhaohui@xjtu.edu.cn;;

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Source :

Thin-Walled Structures

ISSN: 0263-8231

Year: 2023

Volume: 183

4 . 4 4 2

JCR@2020

ESI Discipline: ENGINEERING;

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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