Experimental and Numerical Analysis of Sustainable Use of Steel Slag for Geogrid-Encased Column Involving Its Clogging Effects
Kaiwen Liu,
Ruizhe Qiu (),
Xiaolong Wang,
Fei Yue and
Xiangdong Lian ()
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Kaiwen Liu: Guangxi Communications Investment Group Corporation Ltd., Nanning 530022, China
Ruizhe Qiu: Key Laboratory of High-Speed Railway Engineering (Ministry of Education), School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Xiaolong Wang: Key Laboratory of High-Speed Railway Engineering (Ministry of Education), School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Fei Yue: Key Laboratory of High-Speed Railway Engineering (Ministry of Education), School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Xiangdong Lian: Guangxi Communications Investment Group Corporation Ltd., Nanning 530022, China
Sustainability, 2022, vol. 15, issue 1, 1-16
Abstract:
This study investigates the sustainable use of steel slag for a geogrid-encased column involving its reinforcement and clogging effects on its consolidation performance in soft foundations through model tests and 3D hydromechanical-coupled finite element analyses. The 3D finite element model is first validated according to test results of an untreated and treated soft soil foundation. Then, a parametric study investigating the effect of clogging on the performance of the geogrid-encased steel slag column (GESSC) is carried out. Steel slags mixed with different percentages of fine (0%, 10%, 20%, and 40%) are used to simulate various clogging conditions. The numerical study shows that the percentage of fines in the GESSC has a notable effect on the dissipation of excess pore water pressure as well as foundation consolidation.
Keywords: sustainable steel slag; geogrid-encased steel slag column; clogging; soft foundation; 3D finite element model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2022:i:1:p:722-:d:1021236
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