Buckling resistance of axially loaded square concrete-filled double steel tubular columns

被引:5
作者
Ci, Junchang [1 ]
Ahmed, Mizan [1 ,2 ]
Viet-Linh Tran [3 ]
Jia, Hong [4 ]
Chen, Shicai [1 ]
Tan N Nguyen [5 ]
机构
[1] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing, Peoples R China
[2] Curtin Univ, Sch Civil & Mech Engn, Kent St, Bentley, WA 6102, Australia
[3] Vinh Univ, Dept Civil Engn, Vinh 461010, Vietnam
[4] CRCC Dev Grp Co Ltd, Beijing, Peoples R China
[5] Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
关键词
artificial neural network; axial loading; CFDST columns; post-buckling; short columns; COMPRESSIVE STRENGTH; NONLINEAR-ANALYSIS; STUB COLUMNS; PREDICTION; CAPACITY; BEHAVIOR; MODEL;
D O I
10.12989/scs.2022.43.6.689
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Thin-walled square concrete-filled double steel tubular (CFDST) columns composed of the inner circular tube filled with concrete can be used to carry the large axial loads or strengthen existing CFST columns in composite constructions. This paper reports an experimental program carried out on short square CFDST columns loaded concentrically. The influences of important column parameters on the post-buckling performance of such columns are investigated. Test results exhibit that the inner circular tube significantly improves the ultimate loads and the ductility of such columns compared to conventional concrete-filled steel tubular (CFST) and double-skin CFST (DCFST) columns with an inner void. A mathematical model developed is used to simulate the ultimate strengths and load-strain curves of such columns loaded axially. Furthermore, the ultimate strengths of such columns are predicted using existing codified design models for conventional CFST columns as well as the formulas proposed by previous researchers and compared against a large database comprising 500 CFDST columns. Lastly, an accurate artificial neural network model is developed for the practical applications of such columns under axial loading.
引用
收藏
页码:689 / 706
页数:18
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