Steel and Composite Structures

  • 제52권4호
  • /
  • Pages.475-485
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  • 2024
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Experimental and AI based FEM simulations for composite material in tested specimens of steel tube

  • Yahui Meng (Guangdong University of Petrochemical Technology, School of Science) ;
  • Huakun Wu (School of Computer Science, Guangdong Polytechnic Normal University) ;
  • ZY Chen (Guangdong University of Petrochemical Technology, School of Science) ;
  • Timothy Chen (Division of Engineering and Applied Science, California Institute of Technology)
  • 투고 : 2024.05.30
  • 심사 : 2024.08.06
  • 발행 : 2024.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

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