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    Image-Based Deformation Characterization of Dredged Soil during Consolidation under Vacuum Preloading with Horizontal Drains

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 007::page 04025058-1
    Author:
    Zili He
    ,
    Honglei Sun
    ,
    Jian Chu
    ,
    Kun Pan
    ,
    Shanlin Xu
    ,
    Rongjun Zhang
    DOI: 10.1061/JGGEFK.GTENG-13077
    Publisher: American Society of Civil Engineers
    Abstract: As a relatively new method, vacuum preloading combined with prefabricated horizontal drains (PHDs) has increasingly been used for the improvement of dredged soil. However, the consolidation process of soil during vacuum preloading, in particular the deformation process of soil around PHDs, has not been fully understood. In this study, particle image velocimetry technology was used to capture the displacement field of dredged soil during vacuum preloading for the first time, to the best of our knowledge. Using the displacement data, strain paths in soil were established to enable a better understanding of the consolidation behavior of soil and the related pore water pressure changes. The effect of clogging on the deformation behavior and the growth of a clogging column around PHD were studied. Finite element analysis was also conducted to further evaluate the effects of the compression index (λ) and permeability index (ck) on the soil deformation and clogging column. Empirical equations were proposed to characterize the clogging column and to estimate the consolidation time, serving as references for the analytical model that incorporates time-dependent variations in the clogging column for soil consolidation under vacuum preloading using PHDs.
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      Image-Based Deformation Characterization of Dredged Soil during Consolidation under Vacuum Preloading with Horizontal Drains

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    contributor authorZili He
    contributor authorHonglei Sun
    contributor authorJian Chu
    contributor authorKun Pan
    contributor authorShanlin Xu
    contributor authorRongjun Zhang
    date accessioned2025-08-17T22:46:18Z
    date available2025-08-17T22:46:18Z
    date copyright7/1/2025 12:00:00 AM
    date issued2025
    identifier otherJGGEFK.GTENG-13077.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307420
    description abstractAs a relatively new method, vacuum preloading combined with prefabricated horizontal drains (PHDs) has increasingly been used for the improvement of dredged soil. However, the consolidation process of soil during vacuum preloading, in particular the deformation process of soil around PHDs, has not been fully understood. In this study, particle image velocimetry technology was used to capture the displacement field of dredged soil during vacuum preloading for the first time, to the best of our knowledge. Using the displacement data, strain paths in soil were established to enable a better understanding of the consolidation behavior of soil and the related pore water pressure changes. The effect of clogging on the deformation behavior and the growth of a clogging column around PHD were studied. Finite element analysis was also conducted to further evaluate the effects of the compression index (λ) and permeability index (ck) on the soil deformation and clogging column. Empirical equations were proposed to characterize the clogging column and to estimate the consolidation time, serving as references for the analytical model that incorporates time-dependent variations in the clogging column for soil consolidation under vacuum preloading using PHDs.
    publisherAmerican Society of Civil Engineers
    titleImage-Based Deformation Characterization of Dredged Soil during Consolidation under Vacuum Preloading with Horizontal Drains
    typeJournal Article
    journal volume151
    journal issue7
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/JGGEFK.GTENG-13077
    journal fristpage04025058-1
    journal lastpage04025058-16
    page16
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 007
    contenttypeFulltext
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