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Semi-analytical solutions to the consolidation of unsaturated composite ground enforced by stone columns under equal strain condition considering smear effect

journal contribution
posted on 2024-11-02, 18:51 authored by Liting Zhang, Lei Wang, Annan ZhouAnnan Zhou, Yongfu Xu, Xiaohe Xia
Composite ground is widely employed in geotechnical engineering as a ground reinforcement method, which can be applied to either saturated or unsaturated natural ground. There is limited existing research on consolidation behaviour of the unsaturated composite ground with stone columns, particularly when smear effect is considered. The smear zone is inevitable due to the disturbance to the ground when constructing stone columns, and the flow rate of either air or water through the smear zone significantly reduces, leading to a slow dissipation of the excess pore pressures. This paper proposes semi-analytical solutions in the equal strain conditions for consolidation problem of unsaturated composite ground with stone columns considering the smear effect. Based on the flow rule of air and water phases in the axisymmetric case and the basic relationship of unsaturated composite ground, we first derived the governing equations of excess pore-air and pore-water pressures. Then, the semi-analytical solutions are obtained with the joint use of expansion of Fourier series, Laplace transform and inverse Laplace transform. For a degenerated case, we compare the proposed solutions with the existing ones in literature for the verification purpose. Furthermore, we perform a series of parametric studies by using the proposed solutions and find that the consolidation rate is underestimated when ignoring the smear effect of the unsaturated composite ground.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.trgeo.2021.100644
  2. 2.
    ISSN - Is published in 22143912

Journal

Transportation Geotechnics

Volume

31

Number

100644

Start page

1

End page

13

Total pages

13

Publisher

Elsevier

Place published

Netherlands

Language

English

Copyright

© 2021 Elsevier Ltd. All rights reserved.

Former Identifier

2006110930

Esploro creation date

2021-12-04

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