.png){kind=icon}
.png){kind=icon}
Return
Numerical study and sensitivity analysis on seismic performance of steel pipe-aeolian sand recycled concrete columns
.png){kind=icon}
PRE
AI
Y
K
Z
W
X
DOI：10.1007/s11803-024-2271-7.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study investigated the seismic behavior of columns under different design parameters. A finite element model was established based on a low-cyclic loading experiment of five steel pipe-aeolian sand recycled concrete columns. Their seismic performance was analyzed by adjusting the axial compression ratio, the slenderness ratio, the diameter thickness ratio, and steel pipe strength. The study focused on the hysteretic curve, the skeleton curve, and the displacement ductility coefficient to understand the impact of these parameters. Sensitivity analysis was performed to evaluate the influence of each parameter on peak load and ductility. Test results revealed that stiffness initially increased and then decreased with a displacement rate of aeolian sand. Notably, when the sand replacement rate reached 30%, the stiffness degradation rate was the slowest. The finite element model showed that the P-δ effect of a recycled concrete column varied with the axial compression ratio, and increasing the slenderness ratio decreased ultimate bearing capacity and the displacement ductility coefficient. Conversely, increasing the steel pipe thickness ratio reduced the ultimate bearing capacity and peak displacement but enhanced the displacement ductility coefficient, thereby improving seismic performance. High-strength steel enhanced load capacity but reduced ductility. Sensitivity analysis indicated that the axial compression ratio and the thickness ratio significantly affected peak load, while the thickness ratio had a greater impact on ductility.
Keywords:
recycled concrete
aeolian sand
steel pipe
seismic performance
numerical research
sensitivity analysis
Journal
IF:
3.3
Papers:
115
Citations:
3.0K
Organization
Cited Papers