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The finite cell method with least squares stabilized Nitsche boundary conditions
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics. (UMIT)ORCID iD: 0000-0001-7838-1307
Chair of Computational Modeling and Simulation, TUM, Germany.ORCID iD: 0000-0003-0823-8649
Chair of Computational Modeling and Simulation, TUM, Germany.ORCID iD: 0000-0002-2419-313X
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
2022 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 393, article id 114792Article in journal (Refereed) Published
Abstract [en]

We apply the recently developed least squares stabilized symmetric Nitsche method for enforcement of Dirichlet boundary conditions to the finite cell method. The least squares stabilized Nitsche method in combination with finite cell stabilization leads to a symmetric positive definite stiffness matrix and relies only on elementwise stabilization, which does not lead to additional fill in. We prove a priori error estimates and bounds on the condition numbers.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 393, article id 114792
Keywords [en]
Finite cell method, Dirichlet conditions, Nitsche’s method, A priori error estimates
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-193119DOI: 10.1016/j.cma.2022.114792ISI: 000785237800003Scopus ID: 2-s2.0-85126527849OAI: oai:DiVA.org:umu-193119DiVA, id: diva2:1645005
Funder
Swedish Research Council, 2021-04925Swedish Research Council, 2017-03911Swedish Foundation for Strategic Research , AM13-0029eSSENCE - An eScience Collaboration, -German Research Foundation (DFG), KO 4570/1-1German Research Foundation (DFG), RA 627/29-1Available from: 2022-03-15 Created: 2022-03-15 Last updated: 2023-09-05Bibliographically approved

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Larsson, KarlLarson, Mats G.

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