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http://dx.doi.org/10.12989/scs.2022.43.6.689

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

Ci, Junchang (College of Architecture and Civil Engineering, Beijing University of Technology)
Ahmed, Mizan (College of Architecture and Civil Engineering, Beijing University of Technology)
Tran, Viet-Linh (Department of Civil Engineering, Vinh University)
Jia, Hong (CRCC Development Group Co. Ltd.)
Chen, Shicai (College of Architecture and Civil Engineering, Beijing University of Technology)
Nguyen, Tan N. (Department of Architectural Engineering, Sejong University)
Publication Information
Steel and Composite Structures / v.43, no.6, 2022 , pp. 689-706 More about this Journal
Abstract
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.
Keywords
artificial neural network; axial loading; CFDST columns; post-buckling; short columns;
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Times Cited By KSCI : 6  (Citation Analysis)
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