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hal.structure.identifierMassachusetts Institute of Technology [MIT]
dc.contributor.authorGALBRAITH, Marshall
hal.structure.identifierMassachusetts Institute of Technology [MIT]
dc.contributor.authorCAPLAN, Philip
hal.structure.identifierMassachusetts Institute of Technology [MIT]
dc.contributor.authorCARSON, Hugh
hal.structure.identifierNASA Langley Research Center [Hampton] [LaRC]
dc.contributor.authorPARK, Michael
hal.structure.identifierNASA Langley Research Center [Hampton] [LaRC]
dc.contributor.authorBALAN, Aravind
hal.structure.identifierNASA Langley Research Center [Hampton] [LaRC]
dc.contributor.authorANDERSON, W. Kyle
hal.structure.identifierBoeing Company [Chicago]
dc.contributor.authorMICHAL, Todd
hal.structure.identifierBoeing Company [Chicago]
dc.contributor.authorKRAKOS, Joshua
hal.structure.identifierBoeing Company [Chicago]
dc.contributor.authorKAMENETSKIY, Dmitry
hal.structure.identifierGénération Adaptative de Maillage et Méthodes numériques Avancées [GAMMA]
dc.contributor.authorLOSEILLE, Adrien
hal.structure.identifierGénération Adaptative de Maillage et Méthodes numériques Avancées [GAMMA]
dc.contributor.authorALAUZET, Frédéric
hal.structure.identifierGénération Adaptative de Maillage et Méthodes numériques Avancées [GAMMA]
dc.contributor.authorFRAZZA, Loic
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierImperial College London
dc.contributor.authorBARRAL, Nicolas
dc.date.accessioned2024-04-04T02:50:30Z
dc.date.available2024-04-04T02:50:30Z
dc.date.issued2020-09
dc.identifier.issn0001-1452
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191915
dc.description.abstractEnUnstructured grid techniques have the potential of minimizing discretization errors for production analysis workflows where the control of errors is critical to obtaining reliable simulation results. Recent progress has matured a number of independent implementations of flow solvers, error estimation methods, and anisotropic grid adaptation mechanics. Here, the interoperability of several separately developed unstructured grid adaptation tools is verified using analytic functions and the Code Comparison Principle. Three analytic functions with different smoothness properties are adapted to show the impact of smoothness on implementation differences. A scalar advection-diffusion problem with an analytic solution that models a boundary layer is adapted to test individual grid adaptation components. While optimal asymptotic error convergence rates are achieved with many grid adaptation tool combinations for the scalar problems, the scalar problems also illustrate known differences in grid adaptation component implementations and a previously unknown interaction between components. Laminar flow over a delta wing is verified with multiple, independent grid adaptation procedures to show consistent convergence to fine-grid forces and pitching moment. These verification efforts form the nucleus of a benchmark to verify the integration of unstructured grad adaptation components and support production analysis workflows.
dc.language.isoen
dc.publisherAmerican Institute of Aeronautics and Astronautics
dc.title.enVerification of Unstructured Grid Adaptation Components
dc.typeArticle de revue
dc.identifier.doi10.2514/1.J058783
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
bordeaux.journalAIAA Journal
bordeaux.page1-16
bordeaux.volume58
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue9
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02904421
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02904421v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=AIAA%20Journal&rft.date=2020-09&rft.volume=58&rft.issue=9&rft.spage=1-16&rft.epage=1-16&rft.eissn=0001-1452&rft.issn=0001-1452&rft.au=GALBRAITH,%20Marshall&CAPLAN,%20Philip&CARSON,%20Hugh&PARK,%20Michael&BALAN,%20Aravind&rft.genre=article


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