Concrete-filled steel tube columns of different cross-sectional shapes under axial compression: A review

Ilanthalir, A; Regin, J. Jerlin; Maheswaran, J.

doi:10.1088/1757-899x/983/1/012007

Cited by 12 publications

(4 citation statements)

References 49 publications

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“…al. [10] have summarized and investigated the local buckling behaviour, confinement effect and simplified design approaches of different shapes of plain concrete filled steel tube columns, without internal steel profiles. The different approaches in various design codes in Europe, USA, Australia, and China and of various literature references have been summarized and compared.…”

Section: Simplified Methodsmentioning

confidence: 99%

Calibrated Design of High Strength Composite Columns

Kelpša,

Beckmann,

Guobys

et al. 2023

ce papers

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What does the general design method, described in EN 1994‐1‐1, mean in practice for the construction industry? Even though this method requires additional efforts, it provides improved design accuracy. High strength and high slenderness concrete filled steel tube composite columns with a solid steel core inside have undoubtable benefits. However, application of such columns requires the use of a general method of design and special knowledge not fully covered by Eurocodes.In order to utilize the general design method for ATLANT® Strong composite columns, Peikko has conducted an extensive development program. During the program, multiple tests were conducted on materials and the columns itself. The test results were used to calibrate models of Finite Element Analysis (ABAQUS), which allowed to investigate the behaviour of those columns even more extensively. Eventually, the general design method was implemented and calibrated, allowing reliable and optimized design.The paper contains an overview of ATLANT® Strong composite columns behaviour, the extensive testing program and calibration process to reach the optimal design of such columns. Additionally practical specifics, challenges and benefits are discussed.

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Section: Simplified Methodsmentioning

confidence: 99%

Calibrated Design of High Strength Composite Columns

Kelpša,

Beckmann,

Guobys

et al. 2023

ce papers

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“…The concrete mixes with low strength showed better confinement and ductility than concrete mixes with high strength [8]. The values of final load capacity increased with increasing steel tube thickness [9]. The ductility of columns decreased when concrete strength increased [10].…”

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confidence: 91%

Structural Behavior of Short Thin-Walled Steel Columns Filled with High Strength Concrete Made of Recycled Aggregate

Samir,

Almamoori

2023

E3S Web Conf.

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This paper introduces an experimental work to study the behavior of 12 recycled aggregate concrete-filled steel tubular (RACFST) short columns with high-strength concrete grade subjected to axial compression loading. These columns formed from six different cross-sections involving triangle, elliptical, and hexagon, whereas the other three sections included traditional forms for control purposes, involving square, rectangular, and circular. All RACFST columns used are made of mild steel plates. These columns were divided into two groups. The steel tube thickness was the only parameter modified to study its effect properly. In addition, the study included the search for the best effective section concerning the properties of stability and confinement, so these columns were designed so that the cross-sectional areas of steel tubes were approximately equal. Also, composite action and level of ductility for these columns were studied. The ultimate failure axial load, the reduction in the axial column length, the failure pattern of cross-section shape, and lateral displacement were recorded during the test. Regarding the two groups of columns with (1 and 2) mm thick steel plates, testing data obtained from RACFST columns with elliptical and circular cross-sections respectively showed better stability and confinement of concrete and the ability to withstand a higher ultimate failure stress. Moreover, columns with polygonal sections showed when the number of ribs for the steel plates of the model or increased the angle between the two sides is (90°) or more, column cross-sections can achieve more stability and confinement, respectively. In general , increasing the thickness of the steel tubes increases. Finally, for all columns, the higher values of the concrete contribution ratio (C.C.R) led to an increase in the strength index (S.I.) values. An increase in values of final failure stresses accompanied this increase.

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“…Improving methods for calculating the load-bearing capacity of CFST columns is an urgent task, which is confirmed by the large number of theoretical and experimental works published recently on this topic [6][7][8].…”

Section: Introductionmentioning

confidence: 96%

Artificial Neural Network Models for Determining the Load-Bearing Capacity of Eccentrically Compressed Short Concrete-Filled Steel Tubular Columns

Chepurnenko,

Turina,

Akopyan

2024

CivilEng

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Artificial neural networks (ANN) have a great promise in predicting the load-bearing capacity of building structures. The purpose of this work was to develop ANN models to determine the ultimate load of eccentrically compressed concrete-filled steel tubular (CFST) columns of circular cross-sections, which operated on the widest possible range of input parameters. Short columns were considered for which the amount of deflection does not affect the bending moment. A feedforward network was selected as the neural network type. The input parameters of the neural networks were the outer diameter of the columns, the thickness of the pipe wall, the yield strength of steel, the compressive strength of concrete and the relative eccentricity. Artificial neural networks were trained on synthetic data generated based on a theoretical model of the limit equilibrium of CFST columns. Two ANN models were created. When training the first model, the ultimate loads were determined at a given eccentricity of the axial force without taking into account additional random eccentricity. When training the second model, additional random eccentricity was taken into account. The total volume of the training dataset was 179,025 samples. Such a large training dataset size has never been used before. The training dataset covers a wide range of changes in the characteristics of the pipe metal and concrete of the core, pipe diameters and wall thicknesses, as well as eccentricities of the axial force. The trained models are characterized by high mean square error (MSE) scores. The correlation coefficients between the predicted and target values are very close to 1. The ANN models were tested on experimental data for 81 eccentrically compressed samples presented in five different works and 265 centrally compressed samples presented in twenty-six papers.

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Concrete-filled steel tube columns of different cross-sectional shapes under axial compression: A review

Cited by 12 publications

References 49 publications

Calibrated Design of High Strength Composite Columns

Calibrated Design of High Strength Composite Columns

Structural Behavior of Short Thin-Walled Steel Columns Filled with High Strength Concrete Made of Recycled Aggregate

Artificial Neural Network Models for Determining the Load-Bearing Capacity of Eccentrically Compressed Short Concrete-Filled Steel Tubular Columns

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