Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25989
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dc.contributor.authorJang, Y-
dc.contributor.authorShaw, S-
dc.date.accessioned2023-02-22T12:51:44Z-
dc.date.available2023-02-22T12:51:44Z-
dc.date.issued2023-02-22-
dc.identifierORCID iD: Yongseok Jang https://orcid.org/0000-0002-2036-558X-
dc.identifierORCID iD: Simon Shaw https://orcid.org/0000-0003-1406-7225-
dc.identifier.citationJang, Y. and Shaw, S. (2023) 'A Priori Analysis of a Symmetric Interior Penalty Discontinuous Galerkin Finite Element Method for a Dynamic Linear Viscoelasticity Model', Computational Methods in Applied Mathematics, 23 (3), pp. 1 - 21. doi: 10.1515/cmam-2022-0201.en_US
dc.identifier.issn1609-4840-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/25989-
dc.description.abstractThe stress-strain constitutive law for viscoelastic materials such as soft tissues, metals at high temperature, and polymers can be written as a Volterra integral equation of the second kind with a fading memory kernel. This integral relationship yields current stress for a given strain history and can be used in the momentum balance law to derive a mathematical model for the resulting deformation. We consider such a dynamic linear viscoelastic model problem resulting from using a Dirichlet–Prony series of decaying exponentials to provide the fading memory in the Volterra kernel. We introduce two types of internal variable to replace the Volterra integral with a system of auxiliary ordinary differential equations and then use a spatially discontinuous symmetric interior penalty Galerkin (SIPG) finite element method and – in time – a Crank–Nicolson method to formulate the fully discrete problems: one for each type of internal variable. We present a priori stability and error analyses without using Grönwall’s inequality and with the result that the constants in our estimates grow linearly with time rather than exponentially. In this sense, the schemes are therefore suited to simulating long time viscoelastic response, and this (to our knowledge) is the first time that such high quality estimates have been presented for SIPG finite element approximation of dynamic viscoelasticity problems. We also carry out a number of numerical experiments using the FEniCS environment (https://fenicsproject.org), describe a simulation using “real” material data, and explain how the codes can be obtained and all of the results reproduced.en_US
dc.description.sponsorshipY. Jang acknowledges the support of a Brunel University London Doctoral scholarship.en_US
dc.format.extent1 - 23-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherWalter de Gruyteren_US
dc.rightsCopyright © Walter de Gruyter GmbH 2023. All rights reserved. The final publication is available at https://www.degruyter.com/document/doi/10.1515/cmam-2022-0201/html. De Gruyter allows authors the use of the final published version of an article (publisher pdf) for self-archiving (author's personal website) and/or archiving in an institutional repository (on a non-profit server) after an embargo period of 12 months after publication. The published source must be acknowledged and a link to the journal home page or articles' DOI must be set. Authors MAY NOT self-archive their articles in public and/or commercial subject based repositories (see: https://www.degruyter.com/publishing/services/rights-and-permissions/repositorypolicy and https://degruyter-live-craftcms-assets.s3.amazonaws.com/docs/CopyrightTransferAgreementDeGruyter.pdf).-
dc.rights.urihttps://www.degruyter.com/publishing/services/rights-and-permissions/repositorypolicy-
dc.subjectviscoelasticityen_US
dc.subjectgeneralised Maxwell soliden_US
dc.subjectsymmetric interior penaltyen_US
dc.subjectdiscontinuous Galerkin finite element methoden_US
dc.subjecta priori analysisen_US
dc.subjectinternal variablesen_US
dc.titleA Priori Analysis of a Symmetric Interior Penalty Discontinuous Galerkin Finite Element Method for a Dynamic Linear Viscoelasticity Modelen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1515/cmam-2022-0201-
dc.relation.isPartOfComputational Methods in Applied Mathematics-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume23-
dc.identifier.eissn1609-9389-
dc.rights.holderWalter de Gruyter-
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