Numerical investigation on the dynamic behavior of GESC improved ground in dry sand

This paper presents a numerical investigation of the dynamic behavior of geosynthetic encased stone column (GESC) improved ground in dry sand. A pressure-dependent multi-yield model was adopted for soils, and the geosynthetic encasement was incorporated using linearly elastic geogrid elements. A three-dimensional numerical model was developed and validated against previously conducted shaking table tests, including comparisons of settlement, acceleration amplification factors, and encasement tensile strains. The validated model was then used to compare the dynamic responses of edge and central columns, followed by a parametric study assessing the influence of key design parameters on the dynamic behavior of edge columns. Results indicate that edge columns play a critical role in controlling lateral deformation by providing substantial shear restraint, thereby significantly reducing lateral displacement within the GESC improved ground. The geosynthetic encasement of edge columns is more susceptible to tensile rupture and experiences higher shear stress and strain compared with that of central columns, indicating a greater shear demand under dynamic loading. Increasing the encasement stiffness and the area replacement ratio enhances the foundation’s resistance to shear deformation and improves overall dynamic performance. These findings provide insights for optimizing the design of GESC improved ground subjected to dynamic loading.

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Publication Details

Journal
Geosynthetics International
Published
2026-05-01
DOI
https://doi.org/10.1680/jgein.25.00227
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical investigation on the dynamic behavior of GESC improved ground in dry sand

F. Li, H. Zhou, Y. Zheng, M. Ji et al.
Geosynthetics International
Geotechnical Engineering and Soil Stabilization
article

Numerical investigation on the dynamic behavior of GESC improved ground in dry sand

F. Li, H. Zhou, Y. Zheng, M. Ji, Z. Qiu
article en

Abstract

This paper presents a numerical investigation of the dynamic behavior of geosynthetic encased stone column (GESC) improved ground in dry sand. A pressure-dependent multi-yield model was adopted for soils, and the geosynthetic encasement was incorporated using linearly elastic geogrid elements. A three-dimensional numerical model was developed and validated against previously conducted shaking table tests, including comparisons of settlement, acceleration amplification factors, and encasement tensile strains. The validated model was then used to compare the dynamic responses of edge and central columns, followed by a parametric study assessing the influence of key design parameters on the dynamic behavior of edge columns. Results indicate that edge columns play a critical role in controlling lateral deformation by providing substantial shear restraint, thereby significantly reducing lateral displacement within the GESC improved ground. The geosynthetic encasement of edge columns is more susceptible to tensile rupture and experiences higher shear stress and strain compared with that of central columns, indicating a greater shear demand under dynamic loading. Increasing the encasement stiffness and the area replacement ratio enhances the foundation’s resistance to shear deformation and improves overall dynamic performance. These findings provide insights for optimizing the design of GESC improved ground subjected to dynamic loading.

Geosynthetics International
Tianjin University (CN), Xiamen University (CN), Wuhan University (CN), Henan Polytechnic University (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 10%
Geotechnical Engineering and Soil Stabilization
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Numerical investigation on the dynamic behavior of GESC improved ground in dry sand — F. Li, H. Zhou, et al. · Geosynthetics International (2026) | TGRS Research Map | TGRS