Fig. 3. Arrangement of instrumentations (a) transducers/strain gauges and (b) strain gauges.
In the title of the paper given below, “aspect ratio” means major/minor diameter of the tube with the elliptical cross section.
This and the next 3 images are from:
Faqi Liu (1,2), Yuyin Wang (1,2) and Tak-ming Chan (3)
(1) Key Lab of Structures Dynamic Behavior and Control (Harbin Institute of Technology), Ministry of Education, Heilongjiang, Harbin 150090, China
(2) School of Civil Engineering, Harbin Institute of Technology, Heilongjiang, Harbin 150090, China
(3) Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
“Behaviour of concrete-filled cold-formed elliptical hollow sections with varying aspect ratios”, Thin-Walled Structures, Vol. 110, pp 47-61, January 2017, DOI: 10.1016/j.tws.2016.10.013
ABSTRACT: This paper presents the experimental and numerical studies of concrete-filled cold-formed elliptical hollow sections with varying aspect ratios subjected to axial compression load. Twenty one stub columns were tested to investigate the fundamental behaviours of these elliptical concrete-filled steel tubular (CFST) columns. The axial load versus displacement curves, longitudinal and transverse strains in steel tube and failure modes were obtained and discussed. A constitutive model for concrete in the elliptical CFST columns was proposed. Finite element (FE) models were developed and validated against the test results. Parametric studies were carried out to identify the influence of key parameters on the load-bearing capacity. Key parameters included aspect ratio, steel tube to concrete area ratio, yield strength of steel and compressive strength of concrete. Finally, the applicability of relevant design methods to elliptical CFST columns was assessed on the basis of the test and the FE results of this research and other related studies. Results indicated that the design method recommended in the Chinese Standard (GB50936-2014), and the design method for circular CFST columns in EC4 were found to generate accurate predictions.
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