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Influence of lacing bars on the buckling capacity of four-legged latticed columns considering geometric imperfections.
Li, Yinqi; Liu, Feng; Cheng, Wenming.
Afiliação
  • Li Y; School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China.
  • Liu F; School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China.
  • Cheng W; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China.
Sci Prog ; 104(2): 368504211025905, 2021.
Article em En | MEDLINE | ID: mdl-34115552
ABSTRACT
The buckling behavior of latticed columns had been widely investigated based on the theory of Euler, Engesser and Timoshenko shear beam. Although these methods had been formulated and proved to be accurate in case of special assumptions, the influences of lacing bars on the buckling behavior of latticed columns were unclear. This paper modeled a general four-legged latticed column to study the influence of the cross-section characteristics of lacing bars along with their imperfections on the buckling capacity of latticed columns. Three loading conditions and four geometric imperfect models were built to testify the performance of lacing bars. To calculate the buckling load of latticed columns with imperfections accurately, advanced nonlinear analytical procedures using Newton-Raphson incremental-iterative method (ANAP-NR) and Risk arc-length incremental-iterative method (ANAP-Risk) were developed, and then validated by FE software ABAQUS. The current data in the paper show the maximum variation on the critical buckling load of latticed columns, caused by the cross-section area, the bending moment of inertia outer lacing plane, and the imperfections of lacing bars, could reach 68%, 30%, and 25%. The analytical results indicate the great importance of lacing bars on the buckling capacity of latticed columns.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China