Parametric Study on the Axial Behaviour of Concrete Filled Steel Tube (CFST) Columns

Yadav, Raghabendra

doi:10.11648/j.ajasr.20170304.11

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…The material properties, cross-section, slenderness, and some other specifications of the reference curvatures may differ from the main references of this study (Cc2 and Ss2), but their performance shows that the FEA results are in line with the studies of Yang and Han and their team [25,31,32,48] in this regard. As it is evident from Figures 4 and 5, in the numerical analysis, the curves hit the maximum peak and buckled afterwards and experienced failure which these phenomena are in accordance with the results of other studies with similar conditions [46][47][48][49][50][51][52][53][54][55][56][57][58][59][60]. In the experimental analysis [49], the load-bearing capacity of the CCFST column was reached to 1489 kN, while in the FE analysis, it reached 1487 kN.…”

Section: Fea For the Verification Purposesupporting

confidence: 87%

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Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression

et al. 2022

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Since laboratory tests are usually costly, simulating methods using computers are always under the spotlight. This study performed a finite element analysis (FEA) using iterative solutions for simulating circular and square concrete-filled steel tube (CFST) columns infilled with high-strength concrete and reinforced with a cross-shaped plate (comprising two plates along the columns that divide the hollow columns into four equal sections) with and without opening. For this reason and for validation purposes, the columns had length of 900 mm, width/diameter of 150 mm and wall thickness of 3 mm. In this study, unlike in some other studies, the cross-shaped plate was assumed to be fixed at the top and the bottom of a column, and the columns were subjected to axial compression pointed in the center. The outcomes revealed that the cross-shaped plate could improve the axial strength of both circular and square CFST columns; however, the structural performance of the square CFST columns changed: local outward buckling was observed after inserting the cross-shaped plate. By inserting an opening on the cross-shaped plate, the bearing capacity of the circular CFST columns was further improved, while the square CFST columns experienced a decline in their ultimate bearing capacity compared with the corresponding models without the opening. The lateral deflection also improved for the circular CFST columns by adding the reinforcement. However, for the square CFST columns, while it initially improved, increasing the thickness of the cross-shaped plate inversely influenced the lateral deflection of the square CFST columns. The results were also compared with some available codes, and a good agreement was achieved with those outcomes.

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Section: Fea For the Verification Purposesupporting

confidence: 87%

“…This is normally when the ultimate strain of steel, ε su , is equal to 0.1. The stress-strain curves achieved from the previous CFST experimental analysis were considered for validation purpose of the models in this study [47][48][49][50][51][52].…”

Section: Nonlinear Configuration For Feamentioning

confidence: 99%

Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression

et al. 2022

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“…Increasing the compressive strength of concrete will divert the failure control mode to the yield strength of the steel tube and vice versa. The strength of the concrete inside the CFST is responsible for the stiffness of the CFST columns [ 100 ]. Stiffness rises along with concrete compressive strength, yet columns fracture owing to concrete crushing and brittle behavior when filled with high strength concrete.…”

Section: Resultsmentioning

confidence: 99%

Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence

Khan

Zafar

et al. 2021

Materials

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The object of this research is concrete-filled steel tubes (CFST). The article aimed to develop a prediction Multiphysics model for the circular CFST column by using the Artificial Neural Network (ANN), the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Gene Expression Program (GEP). The database for this study contains 1667 datapoints in which 702 are short CFST columns and 965 are long CFST columns. The input parameters are the geometric dimensions of the structural elements of the column and the mechanical properties of materials. The target parameters are the bearing capacity of columns, which determines their life cycle. A Multiphysics model was developed, and various statistical checks were applied using the three artificial intelligence techniques mentioned above. Parametric and sensitivity analyses were also performed on both short and long GEP models. The overall performance of the GEP model was better than the ANN and ANFIS models, and the prediction values of the GEP model were near actual values. The PI of the predicted Nst by GEP, ANN and ANFIS for training are 0.0416, 0.1423, and 0.1016, respectively, and for Nlg these values are 0.1169, 0.2990 and 0.1542, respectively. Corresponding OF values are 0.2300, 0.1200, and 0.090 for Nst, and 0.1000, 0.2700, and 0.1500 for Nlg. The superiority of the GEP method to the other techniques can be seen from the fact that the GEP technique provides suitable connections based on practical experimental work and does not rely on prior solutions. It is concluded that the GEP model can be used to predict the bearing capacity of circular CFST columns to avoid any laborious and time-consuming experimental work. It is also recommended that further research should be performed on the data to develop a prediction equation using other techniques such as Random Forest Regression and Multi Expression Program.

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Behavior and design of concrete-filled narrow rectangular steel tubular (CFNRST) stub columns under axial compression

Zhang

Yang

Fu³

et al. 2021

Journal of Building Engineering

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Parametric Study on the Axial Behaviour of Concrete Filled Steel Tube (CFST) Columns

Cited by 4 publications

References 11 publications

Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression

Iterative Finite Element Analysis of Concrete-Filled Steel Tube Columns Subjected to Axial Compression

Predicting the Ultimate Axial Capacity of Uniaxially Loaded CFST Columns Using Multiphysics Artificial Intelligence

Behavior and design of concrete-filled narrow rectangular steel tubular (CFNRST) stub columns under axial compression

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