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Adjoint-based methods for optimization and goal-oriented error control applied to fluid-structure interaction: implementation of a partition-of-unity dual-weighted residual estimator for stationary forward FSI problems in deal.II

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  • معلومة اضافية
    • Contributors:
      Deutsche Forschungsgemeinschaft
    • بيانات النشر:
      Editorial Universitat Politècnica de València
    • الموضوع:
      2022
    • Collection:
      Universitat Politécnica de Valencia: RiuNet / Politechnical University of Valencia
    • نبذة مختصرة :
      [EN] In this work, we implement goal-oriented error control and spatial mesh adaptivity for stationary fluid-structure interaction (FSI). The a posteriori error estimator is accomplished using the dual-weighted residual method in which the adjoint equation arises. The fluid-structure interaction problem is formulated within a variational-monolithic framework using arbitrary Lagrangian-Eulerian coordinates. The overall problem is nonlinear and solved with Newton’s method. We specifically consider the FSI-1 benchmark problem in which quantities of interest include the elastic beam displacements, drag, and lift. The implementation is based on the deal.II finite element library and provided open-source published on github https://github.com/tommeswick/goal-oriented-fsi. Possible extensions are discussed in the source code and in the conclusions of this paper. ; This work is supported by the Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy within the cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453). ; Wick, T. (2022). Adjoint-based methods for optimization and goal-oriented error control applied to fluid-structure interaction: implementation of a partition-of-unity dual-weighted residual estimator for stationary forward FSI problems in deal.II. En Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference. Editorial Universitat Politècnica de València. 257-266. https://doi.org/10.4995/YIC2021.2021.12332 ; 257 ; 266
    • ISBN:
      978-84-9048-969-7
      84-9048-969-6
    • Relation:
      info:eu-repo/grantAgreement/DFG//390833453; Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference; VI ECCOMAS Young Investigators Conference; Julio 07-09, 2021; Valencia, España; http://ocs.editorial.upv.es/index.php/YIC/YIC2021/paper/view/12332; urn:isbn:9788490489697; http://hdl.handle.net/10251/186648
    • الرقم المعرف:
      10.4995/YIC2021.2021.12332
    • Rights:
      http://creativecommons.org/licenses/by-nc-sa/4.0/ ; info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.D94ACD17