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author:

Zhang, Wanpeng (Zhang, Wanpeng.) [1] | Chen, Siying (Chen, Siying.) [2] | Zhu, Yao (Zhu, Yao.) [3] | Liu, ShuPing (Liu, ShuPing.) [4] | Chen, Wei (Chen, Wei.) [5] | Chen, Yu (Chen, Yu.) [6] (Scholars:陈誉)

Indexed by:

EI Scopus SCIE

Abstract:

This study adopts experimental, numerical, and algorithmic methods to investigate the compressive behavior and failure mode of corroded circular steel tube short columns. The study establishes an equivalent relationship between electrochemical accelerated corrosion and natural coastal corrosion environments. The effects of current intensity, sodium chloride concentration, and energizing time on corrosion equivalent duration and mechanical properties of specimens are analyzed. The results demonstrate that the ultimate bearing capacity and energy absorption capacity of the specimens are significantly reduced with increasing current intensity and energized time. However, the NaCl concentration has minimal effect on the mechanical properties of the specimens. After natural corrosion in a coastal area with medium salinity for 19.2 years, the ultimate bearing capacity, ductility, initial stiffness, and energy absorption capacity of circular steel tube short columns decreased by 49.5 %, 63.1 %, 48.9 %, and 85.6 %, respectively. A novel corrosion pit generation algorithm is suggested to accurately simulate the distribution of corrosion pits and determine the ultimate bearing capacity of circular steel tube short columns. This algorithm demonstrates improved accuracy and stability compared to traditional simplified methods. Subsequently, a corrosion pit random generation model is developed using this method, and the accuracy of the finite element model is validated against experimental results. Furthermore, the impact of the diameter thickness ratio on the ultimate bearing capacity of corrosion specimens is thoroughly analyzed.

Keyword:

Axial compression behavior Corroded circular steel tube short columns Experimental research Numerical simulation Random corrosion pit generation algorithm

Community:

  • [ 1 ] [Zhang, Wanpeng]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China
  • [ 2 ] [Chen, Siying]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China
  • [ 3 ] [Zhu, Yao]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China
  • [ 4 ] [Chen, Yu]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China
  • [ 5 ] [Zhang, Wanpeng]Fuzhou Univ, Macao & Taiwan Joint Lab Struct Engn, Int & Hong Kong, Fuzhou 350116, Peoples R China
  • [ 6 ] [Chen, Wei]Fuzhou Univ, Macao & Taiwan Joint Lab Struct Engn, Int & Hong Kong, Fuzhou 350116, Peoples R China
  • [ 7 ] [Chen, Yu]Fuzhou Univ, Macao & Taiwan Joint Lab Struct Engn, Int & Hong Kong, Fuzhou 350116, Peoples R China
  • [ 8 ] [Chen, Wei]Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong 100872, Peoples R China
  • [ 9 ] [Chen, Wei]Hong Kong Polytech Univ, Chinese Natl Engn Res Ctr Steel Construct, Hong Kong Branch, Hong Kong 100872, Peoples R China
  • [ 10 ] [Liu, ShuPing]Fujian Yuxun Construct Co Ltd, Fuzhou 350011, Peoples R China

Reprint 's Address:

  • [Chen, Yu]Fuzhou Univ, Coll Civil Engn, Fuzhou 350116, Peoples R China;;[Chen, Yu]Fuzhou Univ, Macao & Taiwan Joint Lab Struct Engn, Int & Hong Kong, Fuzhou 350116, Peoples R China;;

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Source :

THIN-WALLED STRUCTURES

ISSN: 0263-8231

Year: 2024

Volume: 200

5 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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