Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106839
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorLiu, Ken_US
dc.creatorHe, HTen_US
dc.creatorTan, DYen_US
dc.creatorFeng, WQen_US
dc.creatorZhu, HHen_US
dc.creatorYin, JHen_US
dc.date.accessioned2024-06-06T00:28:45Z-
dc.date.available2024-06-06T00:28:45Z-
dc.identifier.issn2199-9260en_US
dc.identifier.urihttp://hdl.handle.net/10397/106839-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s40891-024-00521-x.en_US
dc.subjectFill surchargeen_US
dc.subjectGround improvementen_US
dc.subjectNew simplified B methoden_US
dc.subjectSoft soilen_US
dc.subjectVacuum preloadingen_US
dc.titleA case study of performance comparison between vacuum preloading and fill surcharge for soft ground improvementen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1007/s40891-024-00521-xen_US
dcterms.abstractVacuum preloading and fill surcharge are two common ground improvement methods, which have been successfully utilized in many soil improvement and land reclamation projects all over the world. Therefore, continuous study on them is of great necessity for deepening the research for both optimizing the solution of treating soft grounds and predicting the deformation performance. This paper presents a case study of a land reclamation project, in which both vacuum preloading and fill surcharge methods were compared based on the detailed field monitoring data, in situ and laboratory tests of two selected areas treated with well-controlled construction quality. The results indicate that the vacuum preloading method can accelerate the consolidation progress more effectively and exhibit better performance in reducing the water content of soft soils. In this method, a stable vacuum pressure was kept beneath the air-tight membrane, and the bentonite-slurry cut-off walls were installed surrounding the treated land to prevent the vacuum leakage throughout permeable interlayers. However, the vacuum pressure decreased significantly along the depth, which affected the efficiency of improving the deeper soil layer. On the other hand, the fill surcharge method can accelerate consolidation and improve the strength of soft soils in a relatively slow but predictable way. Furthermore, four different methods are adopted to predict the ultimate settlements of ground in this study, including Asaoka's method, hyperbolic curve method, exponential curve method, and new simplified B method. In general, good performance of the four methods can be observed by comparing measured and predicted settlements.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of geosynthetics and ground engineering, Feb. 2024, v. 10, no. 1, 11en_US
dcterms.isPartOfInternational journal of geosynthetics and ground engineeringen_US
dcterms.issued2024-02-
dc.identifier.scopus2-s2.0-85185216933-
dc.identifier.eissn2199-9279en_US
dc.identifier.artn11en_US
dc.description.validate202406 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2760-
dc.identifier.SubFormID48264-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic University; Research Institute for Sustainable Urban Development of The Hong Kong Polytechnic University; Center for Urban Geohazard and Mitigation of Faculty of Construction and Environment of PolyU; Open Research Project Programme of the State Key Laboratory of Internet of Things for Smart City (University of Macau)en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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