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dc.contributor.authorKeith, Brendan
dc.contributor.authorApostolatos, Andreas
dc.contributor.authorKodakkal, Anoop
dc.contributor.authorRossi, Riccardo
dc.contributor.authorTosi, Riccardo
dc.contributor.authorWohlmuth, Barbara
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Civil
dc.date.accessioned2021-06-08T15:32:03Z
dc.date.available2021-06-08T15:32:03Z
dc.date.issued2019-05-30
dc.identifier.citationKeith, B. [et al.]. ExaQUte: D2.3. Adjoint-based error estimation routines. 2019. DOI 10.23967/exaqute.2021.2.022.
dc.identifier.urihttp://hdl.handle.net/2117/346913
dc.description.abstractThis document presents a simple and ecient strategy for adaptive mesh refinement (AMR) and a posteriori error estimation for the transient incompressible Navier{Stokes equations. This strategy is informed by the work of Prudhomme and Oden [22, 23] as well as modern goal-oriented methods such as [5]. The methods described in this document have been implemented in the Kratos Multiphysics software and uploaded to https://zenodo.org [27].1 This document includes: A review of the state-of-the-art in solution-oriented and goal-oriented AMR. The description of a 2D benchmark model problem of immediate relevance to the objectives of the ExaQUte project. The definition and a brief mathematical summary of the error estimator(s). The results obtained. A description of the API.
dc.format.extent26 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
dc.subject.lcshNavier-Stokes equations--Numerical solutions
dc.titleExaQUte: D2.3. Adjoint-based error estimation routines
dc.typeExternal research report
dc.subject.lemacEquacions de Navier-Stokes -- Mètodes numèrics
dc.contributor.groupUniversitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.identifier.doi10.23967/exaqute.2021.2.022
dc.relation.publisherversionhttps://www.scipedia.com/public/Table_Soriano_2019a
dc.rights.accessOpen Access
local.identifier.drac31779812
dc.description.versionPreprint
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/800898/EU/EXAscale Quantification of Uncertainties for Technology and Science Simulation/ExaQUte
local.citation.authorKeith, B.; Apostolatos, A.; Kodakkal, A.; Rossi, R.; Tosi, R.; Wohlmuth, B.


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