An improved updated Lagrangian SPH method for structural modelling

dc.contributor.authorKhayyer, Abbas
dc.contributor.authorShimizu, Yuma
dc.contributor.authorChun Hean, Lee
dc.contributor.authorGil Ruiz, Antonio Javier
dc.contributor.authorGotoh, Hitoshi
dc.contributor.authorBonet Carbonell, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor.otherCentre Internacional de Mètodes Numèrics en Enginyeria
dc.date.accessioned2024-03-06T13:12:11Z
dc.date.available2024-11-23T01:31:31Z
dc.date.issued2023-11-27
dc.descriptionThe version of record of this article, first published in Computational particle mechanics, is available online at Publisher’s website: https://doi.org/10.1007/s40571-023-00673-z
dc.description.abstractThis paper presents a set of novel refined schemes to enhance the accuracy and stability of the updated Lagrangian SPH (ULSPH) for structural modelling. The original ULSPH structure model was first proposed by Gray et al. (Comput Methods Appl Mech Eng 190:6641–6662, 2001) and has been utilised for a wide range of structural analyses including metal, soil, rubber, ice, etc., although the model often faces several drawbacks including unphysical numerical damping, high-frequency noise in reproduced stress fields, presence of several artificial terms requiring ad hoc tunings and numerical instability in the presence of tensile stresses. In these regards, this study presents a set of enhanced schemes corresponding to (1) consistency correction on discretisation schemes for differential operators, (2) a numerical diffusive term incorporated in the continuity or the density rate equation, (3) tuning-free stabilising term based on Riemann solution and (4) careful control/switch of stress divergence differential operator model under tensile stresses. Qualitative/quantitative validations are conducted through several well-known benchmark tests.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThis study was supported by JSPS (Japan Society for the Promotion of Science) KAKENHI Grants Number JP21H01433, JP18K04368, JP21K14250 and JP22H01599. Antonio Gil and Chun Hean Lee would like to acknowledge the financial support received through the project Marie Sklodowska-Curie ITN-EJD ProTechTion, funded by the European Union Horizon 2020 research and innovation program with grant number 764636. The first author acknowledges the contribution of Mr. Kazuhiro Kinuta and Mr. Kazunori Yunoki, students of Applied Mechanics Laboratory, Kyoto University, in conducting several preliminary simulations corresponding to this study back in 2021 and 2022, respectively.
dc.description.versionPostprint (author's final draft)
dc.identifier.citationKhayyer, A. [et al.]. An improved updated Lagrangian SPH method for structural modelling. "Computational particle mechanics", 27 Novembre 2023,
dc.identifier.doi10.1007/s40571-023-00673-z
dc.identifier.issn2196-4378
dc.identifier.urihttps://hdl.handle.net/2117/403872
dc.language.isoeng
dc.publisherSpringer
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/764636/EU/Industrial decision-making on complex production technologies supported by simulation-based engineering/ProTechTion
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s40571-023-00673-z
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Física
dc.subject.lcshFluid dynamics
dc.subject.lcshHydrodynamics
dc.subject.lcshParticles
dc.subject.lemacDinàmica de fluids
dc.subject.lemacHidrodinàmica
dc.subject.lemacPartícules (Matèria)
dc.subject.otherSmoothed particle hydrodynamics
dc.subject.otherStructure model
dc.subject.otherUpdated Lagrangian SPH
dc.subject.otherd-SPH
dc.subject.otherTensile instability
dc.subject.otherAccuracy
dc.subject.otherConsistency
dc.titleAn improved updated Lagrangian SPH method for structural modelling
dc.typeArticle
dspace.entity.typePublication
local.citation.authorKhayyer, A.; Shimizu, Y.; Chun H. Lee; Gil Ruiz, Antonio Javier; Gotoh, H.; Bonet, J.
local.citation.publicationNameComputational particle mechanics
local.identifier.drac37803220

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