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Axial compression performance of partially encased concrete columns with web opening.
Liang, Jiongfeng; Wang, Yunchen; Zou, Wanjie; Wang, Caisen; Li, Wei.
Affiliation
  • Liang J; Faculty of Civil and Architecture Engineering, East China University of Technology, Nanchang, China.
  • Wang Y; Faculty of Civil and Architecture Engineering, East China University of Technology, Nanchang, China.
  • Zou W; College of Civil and Architecture Engineering, Guangxi University of Science and Technology, Liuzhou, China.
  • Wang C; Faculty of Civil and Architecture Engineering, East China University of Technology, Nanchang, China.
  • Li W; Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, China.
Sci Rep ; 14(1): 11853, 2024 May 24.
Article in En | MEDLINE | ID: mdl-38789485
ABSTRACT
The objective of this study is to comprehensively assess the behavior of partially encased concrete (PEC) columns with web openings under axial compression. The primary objectives of this study are to analyze damage patterns and investigate the influence of key parameters, such as concrete strength, opening rate, and opening shape, on the ductility index and ultimate load-carrying capacity. The study employs experimental testing to examine the response of the PEC columns, with a particular focus on the mechanisms of concrete fracture and flange flexing. Notably, the study reveals a significant impact of the opening rate on the bearing capacity, while the effect of opening shape is comparatively minor. Furthermore, computational analyses are conducted to deepen the understanding of structural behavior. The study builds upon existing research to propose a novel method for calculating the bearing capacity of PEC columns with web openings. This method introduces two discount factors to enhance predictive accuracy.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication: