Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110231
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.contributorResearch Centre for Resources Engineering towards Carbon Neutrality-
dc.creatorWang, HLen_US
dc.creatorYin, ZYen_US
dc.creatorGu, XQen_US
dc.creatorJin, YFen_US
dc.date.accessioned2024-11-28T03:00:37Z-
dc.date.available2024-11-28T03:00:37Z-
dc.identifier.issn0363-9061en_US
dc.identifier.urihttp://hdl.handle.net/10397/110231-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.rights© 2024 The Author(s). International Journal for Numerical and Analytical Methods in Geomechanics published by John Wiley & Sons Ltd.en_US
dc.rightsThe following publication Wang, H.-L., Yin, Z.-Y., Gu, X.-Q. and Jin, Y.-F. (2024), Evaluation of Soil–Structure Interface Models Considering Cyclic Loading Effect. Int J Numer Anal Methods Geomech., 48: 4257-4273 is available at https://doi.org/10.1002/nag.3831.en_US
dc.subjectAccumulated normal displacementen_US
dc.subjectConstitutive modelen_US
dc.subjectCyclic loadingen_US
dc.subjectSoil–structure interfaceen_US
dc.subjectStress degradationen_US
dc.titleEvaluation of soil-structure interface models considering cyclic loading effecten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage4257en_US
dc.identifier.epage4273en_US
dc.identifier.volume48en_US
dc.identifier.issue17en_US
dc.identifier.doi10.1002/nag.3831en_US
dcterms.abstractThe simulation of the soil–structure interface (SSI) under cyclic loading is critically important in geotechnical engineering. Numerous studies have been conducted to explore the cyclic behaviors exhibited at the SSI. However, existing model evaluations primarily rely on direct comparisons between experiments and simulations, with limited analysis focused on specific behaviors like accumulated normal displacement and stress degradation under cyclic loading. This study proposes and adapts six SSI models, including three nonlinear incremental models and three elastoplastic models. These models incorporate nonlinear shear modulus, critical state theory, and particle breakage effects to enhance their capability to capture SSI behaviors. Utilizing optimization-based calibration for a fair comparison, the model parameters are fine-tuned based on the experimental data. Comprehensive assessments including global comparisons and specific behaviors like accumulated normal displacement and stress degradation are carried out to evaluate the models' performance. The results indicate that all models effectively replicate the typical behaviors of SSI systems. By incorporating the particle breakage effect, the models can represent both the reversible and irreversible normal displacements under cyclic loading with better performance. The irreversible normal displacement remains stable and is solely influenced by the soil properties rather than the stress level. Moreover, the models successfully capture the stress degradation under constant normal stiffness caused by the irreversible normal displacement.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal for numerical and analytical methods in geomechanics, 10 Dec. 2024, v. 48, no. 17, p. 4257-4273en_US
dcterms.isPartOfInternational journal for numerical and analytical methods in geomechanicsen_US
dcterms.issued2024-12-10-
dc.identifier.scopus2-s2.0-85204709081-
dc.identifier.eissn1096-9853en_US
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Centre for Resources Engineering towards Carbon Neutrality (RCRE) of The Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.TAWiley (2024)en_US
dc.description.oaCategoryTAen_US
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