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Linear smoothing over arbitrary polytopes

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Linear smoothing over arbitrary polytopes

Amrita Francis, Sundararajan Natarajan Department of Mechanical Engineering Indian Institute of Technology-Madras

Chennai-600036, INDIA Alejandro Ortiz-Bernardin Department of Mechanical Engineering,

University of Chile

Av. Beauchef 851, Santiago, Chile St´ephane PA Bordas

Facult´e des Sciences, de la Technologie et de la Communication University of Luxembourg

6 rue Richard Coudenhove-Kalergi, L-1359 Luxembourg

The conventional constant strain smoothing technique yields less accurate solutions that other techniques such as the conventional polygonal finite element method [1, 2]. In this work, we propose a linear strain smoothing scheme that improves the accuracy of linear and quadratic approximations over convex poly- topes. The method relies on sub-division of the polytope into simplical subcells; however instead of using a constant smoothing function, we employ a linear smoothing function over each subcell. This gives a new definition for the strain to compute the stiffness matrix. The convergence properties and accuracy of the proposed scheme are discussed by solving few benchmark problems. Numerical results show that the proposed linear strain smoothing scheme makes the approximation based on polytopes able to deliver the optimal convergence rate as in traditional quadrilateral and hexahedral finite elements. The accuracy is also improved, and all the methods tested pass the patch test to machine precision.

Keywords:

Smoothed finite element method, polytope, patch test, polygonal finite element method.

References

[1] Bordas S, Natarajan S, Kerfriden P, Augarde C, Mahapatra D, Rabczuk T, Pont S. On the performance of strain smoothing for quadratic and enriched finite element approximations (XFEM/GFEM/PUFEM).International Journal for Numerical Methods in Engineering2011; 86, 637–666.

[2] Natarajan S, Ooi ET, Chiong I, Song C. Convergence and accuracy of displacement based finite element formulation over arbitrary polygons: Laplace interpolants, strain smoothing and scaled boundary polygon formulation.Finite Elements in Analysis and Design2014; 85, 101–122.

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