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The Least Squares Finite Element Method for Elasticity Interface Problem on Unfitted Mesh

Numerical Analysis 2023-06-16 v1 Numerical Analysis

Abstract

In this paper, we propose and analyze the least squares finite element methods for the linear elasticity interface problem in the stress-displacement system on unfitted meshes. We consider the cases that the interface is C2C^2 or polygonal, and the exact solution (σ,u)(\sigma,u) belongs to Hs(div;Ω0Ω1)×H^s(div; \Omega_0 \cup \Omega_1) \times H^{1+s}(\Omega_0 \cup \Omega_1)with with s > 1/2.Twotypesofleastsquaresfunctionalsaredefinedtoseekthenumericalsolution.Thefirstisdefinedbysimplyapplyingthe. Two types of least squares functionals are defined to seek the numerical solution. The first is defined by simply applying the L^2normleastsquaresprinciple,andrequiresthecondition norm least squares principle, and requires the condition s \geq 1.Thesecondisdefinedwithadiscreteminusnorm,whichisrelatedtotheinnerproductin. The second is defined with a discrete minus norm, which is related to the inner product in H^{-1/2}(\Gamma).Theuseofthisdiscreteminusnormresultsinamethodofoptimalconvergenceratesandallowstheexactsolutionhastheregularityofany. The use of this discrete minus norm results in a method of optimal convergence rates and allows the exact solution has the regularity of any s > 1/2.Thestabilityneartheinterfaceforbothmethodsisguaranteedbytheghostpenaltybilinearformsandwecanderivetherobustconditionnumberestimates.Theconvergenceratesunder. The stability near the interface for both methods is guaranteed by the ghost penalty bilinear forms and we can derive the robust condition number estimates. The convergence rates under L^2$ norm and the energy norm are derived for both methods. We illustrate the accuracy and the robustness of the proposed methods by a series of numerical experiments for test problems in two and three dimensions.

Keywords

Cite

@article{arxiv.2306.08801,
  title  = {The Least Squares Finite Element Method for Elasticity Interface Problem on Unfitted Mesh},
  author = {Fanyi Yang},
  journal= {arXiv preprint arXiv:2306.08801},
  year   = {2023}
}
R2 v1 2026-06-28T11:05:29.422Z