Civil Engineering and Architecture Vol. 12(3), pp. 1786 - 1799
DOI: 10.13189/cea.2024.120338
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Investigation on Interfacial Bond Strength Characteristics of Concrete Filled in Galvanized Steel Tubes Utilizing Statistical Analysis and Advanced Prediction Techniques

Chethan Kumar S ¹, N S Kumar ², Adithya Tantri ^3,*, Bhandary R P ⁴, Rao A U ^5
1 Department of Civil Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, Karnataka, India
² Department of Civil Engineering, Director R&D, Ghousia College of Engineering, Ramanagara, Karnataka, India
³ Department of Civil Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal 576 104, Karnataka, India
⁴ Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576 104, Karnataka, India
⁵ Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576 104, Karnataka, Indi

ABSTRACT

Present investigation examines the effects of concrete and steel tube diameter, thickness, and L/D ratio (Length to Diameter ratio) on the strength of the interfacial connection in Concrete-Filled Galvanized Steel Tubes (CFGST). By using three levels and variables to conduct the experiments, Taguchi's technique is used in the study to shorten the experimentation procedure. In the beginning, the Taguchi technique was used to frame the L9 array, and nine circular CFGSTs were tested to gauge the bonding strength. A total of 81 samples were evaluated to determine the correctness of a linear regression model, which had been built. The experimental data were further analyzed using analysis of variance in order to determine the factors that may have an impact on bonding strength. When the experimental findings were compared to a model of finite element analysis and a soft computing tool of artificial neural networks, the inaccuracies were found to be a maximum of 18% thereby confirming accuracy up to 82%. Overall, the results present that the L/D ratio followed by thickness and diameter of the steel tubes are significant factors which have the greatest negative impact on decremental bond strength characteristics. Further prediction is carried out by, Ansys Mechanical finite element analysis software (ANSYS), Artificial Neural Network (ANN), which showed that ANN produces more significant outcomes as compared to ANSYS, and hence is suggested for real time practice.

KEYWORDS
Bond Strength, Concrete Filled Galvanized Steel Tubes, DoE, Push Out Test, Ansys Mechanical Finite Element Analysis Software (ANSYS), Artificial Neural Network (ANN), Grey Relational Analysis (GRA)

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Chethan Kumar S , N S Kumar , Adithya Tantri , Bhandary R P , Rao A U , "Investigation on Interfacial Bond Strength Characteristics of Concrete Filled in Galvanized Steel Tubes Utilizing Statistical Analysis and Advanced Prediction Techniques," Civil Engineering and Architecture, Vol. 12, No. 3, pp. 1786 - 1799, 2024. DOI: 10.13189/cea.2024.120338.

(b). APA Format:
Chethan Kumar S , N S Kumar , Adithya Tantri , Bhandary R P , Rao A U (2024). Investigation on Interfacial Bond Strength Characteristics of Concrete Filled in Galvanized Steel Tubes Utilizing Statistical Analysis and Advanced Prediction Techniques. Civil Engineering and Architecture, 12(3), 1786 - 1799. DOI: 10.13189/cea.2024.120338.