Steel and Composite Structures
Volume 52, Number 4, 2024, pages 475-485
DOI: 10.12989/scs.2024.52.4.475
Experimental and AI based FEM simulations for composite material in tested specimens of steel tube
Yahui Meng, Huakun Wu, ZY Chen and Timothy Chen
Abstract
The mechanical behavior of the steel tube encased high-strength concrete (STHC) composite walls under constant
axial load and cyclically increasing lateral load was studied. Conclusions are drawn based on experimental observations, grey
evolutionary algorithm and finite element (FE) simulations. The use of steel tube wall panels improved the load capacity and
ductility of the specimens. STHC composite walls withstand more load cycles and show more stable hysteresis performance
than conventional high strength concrete (HSC) walls. After the maximum load, the bearing capacity of the STHC composite
wall was gradually reduced, and the wall did not collapse under the influence of the steel pipe. For analysis of the bending
capacity of STHC composite walls based on artificial intelligence tools, an analysis model is proposed that takes into account the
limiting effect of steel pipes. The results of this model agree well with the test results, indicating that the model can be used to
predict the bearing capacity of STHC composite walls. Based on a reasonable material constitutive model and the limiting effect
of steel pipes, a finite element model of the STHC composite wall was created. The finite elements agree well with the
experimental results in terms of hysteresis curve, load-deformation curve and peak load.
Key Words
artificial intelligence; composite walls; FEM based grey algorithm; high-strength concrete; mechanical behavior
Address
Yahui Meng:Guangdong University of Petrochemical Technology, School of Science, Maoming 525000, P.R. China
Huakun Wu:School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, P.R. China
ZY Chen:Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
Timothy Chen :Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA