Enhancing mechanical performance of steel-tube-encased HSC composite walls: Experimental investigation and analytical modeling

被引:1
|
作者
Zy, Chen [1 ]
Wang, Ruei-Yuan [1 ]
Meng, Yahui [1 ]
Wu, Huakun [2 ]
Lai, B. [1 ]
Chen, Timothy [3 ]
机构
[1] Guangdong Univ Petrochem Technol, Sch Sci, Maoming, Guangdong, Peoples R China
[2] Guangdong Polytech Normal Univ, Sch Comp Sci, Guangzhou, Guangdong, Peoples R China
[3] CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA
来源
STEEL AND COMPOSITE STRUCTURES | 2024年 / 52卷 / 06期
关键词
AI computer aided intelligent; composite walls; FEM analysis; fuzzy model; high-strength concrete; mechanical behavior; resilient and sustainable; BEHAVIOR;
D O I
10.12989/scs.2024.52.6.647
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper discusses the study of concrete composite walls of algorithmic modeling, in which steel tubes are embedded. The load-bearing capacity of STHC composite walls increases with the increase of axial load coefficient, but its ductility decreases. The load-bearing capacity can be improved by increasing the strength of the steel pipes; however, the elasticity of STHC composite walls was found to be slightly reduced. As the shear stress coefficient increases, the load-bearing capacity of STHC composite walls decreases significantly, while the deformation resistance increases. By analyzing actual cases, we demonstrate the effectiveness of the research results in real situations and enhance the persuasiveness of the conclusions. The research results can provide a basis for future research, inspire more explorations on seismic design and construction, and further advance the development of this field. Emphasize the importance of research results, promote interdisciplinary cooperation in the fields of structural engineering, earthquake engineering, and materials science, and improve overall seismic resistance. The emphasis on these aspects will help highlight the practical impact of the research results, further strengthen the conclusions, and promote progress in the design and construction of earthquake-resistant structures. The goals of this work are access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient architecture, sustainable planning and management of human settlements. Simulation results of linear and nonlinear structures show that this method can detect structural parameters and their changes due to damage and unknown disturbances. Therefore, it is believed that with the further development of fuzzy neural network artificial intelligence theory, this goal will be achieved in the near future.
引用
收藏
页码:647 / 656
页数:10
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