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International journal for numerical methods in engineering, 2021-08, Vol.122 (15), p.3824-3844
2021

Details

Autor(en) / Beteiligte
Titel
Immersed‐interface finite element method based on a nonconformal Petrov–Galerkin formulation
Ist Teil von
  • International journal for numerical methods in engineering, 2021-08, Vol.122 (15), p.3824-3844
Ort / Verlag
Hoboken, USA: John Wiley & Sons, Inc
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Wiley Online Library
Beschreibungen/Notizen
  • Immersed interface methods are becoming increasingly necessary to solve problems of practical importance. To be considered as replacement for conventional, interface‐fitted, finite element method (FEM), an immersed‐interface finite element method (IIFEM) has to exhibit equivalent accuracy and robustness. The paper develops such an IIFEM based on nonconformal Petrov–Galerkin (ncPG) formulation for two‐dimensional linear elasticity. First, a bimaterial patch test (BPT) is developed which, when satisfied, guarantees consistency of an FEM formulation for problems with two materials in a single element. Then, nodal trial functions that satisfy the BPT are derived for triangular elements with immersed interface. These trial functions satisfy the Hadamard interface conditions for elements with immersed interface but are nonconformal on element edges with an immersed interface. Conventional conformal test functions are used in the Petrov–Galerkin formulation. The proposed ncPG‐IIFEM is applied to a benchmark multimaterial problem. The solution using ncPG‐IIFEM converges optimally and the error in displacement as well as stress are similar to interface‐fitted FEM. The ncPG‐IIFEM also leads to a well‐conditioned linear system with the condition number of the global stiffness matrix similar to interface‐fitted FEM. Overall, the proposed ncPG‐IIFEM is shown to be straightforward in application, optimal in convergence, and robust.
Sprache
Englisch
Identifikatoren
ISSN: 0029-5981
eISSN: 1097-0207
DOI: 10.1002/nme.6683
Titel-ID: cdi_proquest_journals_2552118721

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