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Adaptive finite elements based on sensitivities fortopological mesh changes

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We propose a novel approach to adaptive refinement in FEM based on local sensitivities for node insertion. To this end, we consider refinement as a continuous graph operation, for instance by splitting nodes along edges. Thereby, we introduce the concept of the topological mesh derivative for a given objective function. For its calculation, we rely on the first-order asymptotic expansion of the Galerkin solution of a symmetric linear second-order elliptic PDE. In this work, we apply this concept to the total potential energy, which is related to the approximation error in the energy norm. In fact, our approach yields local sensitivities for minimization of the energy error by refinement. Moreover, we prove that our indicator is equivalent to the classical explicit a posteriori error estimator in a certain sense. Numerical results suggest that our method leads to efficient and competitive adaptive refinement.
Rocznik
Strony
279--306
Opis fizyczny
Bibliogr. 32 poz., rys.
Twórcy
  • Chair of Applied Mechanics, Friedrich-Alexander University Erlangen, Egerlandstr. 5, 91058 Erlangen, Germany
autor
  • Chair of Applied Mathematics 2, Friedrich-Alexander University Erlangen, Cauerstr. 11, 91058 Erlangen, Germany
  • leugering@math.fau.de
autor
  • Chair of Applied Mechanics, Friedrich-Alexander University Erlangen, Egerlandstr. 5, 91058 Erlangen, Germany
Bibliografia
  • 1. Aguilar, J. C. and Goodman, J. B. (2006) Anisotropic mesh refinement for finite element methods based on error reduction. Journal of Computational and Applied Mathematics, 193(2), 497–515.
  • 2. Ainsworth, M. and Oden, J. T. (2000) A Posteriori Error Estimation in Finite Element Analysis. Wiley, New York.
  • 3. Alt, H. W. (2002) Lineare Funktionalanalysis. Springer, Berlin, 4th edition.
  • 4. Ambrosio, L., Fusco, N., and Pallara, D. (2000) Functions of Bounded Variation and Free Discontinuity Problems. Oxford University Press, New York.
  • 5. Babuska, I. and Aziz, A. K. (1976) On the angle condition in the finite element method. SIAM Journal on Numerical Analysis, 13(2), 214–226.
  • 6. Babuska, I. and Rheinboldt, W. C. (1978) Error estimates for adaptive finite element computations. SIAM Journal on Numerical Analysis, 15(4), 736–754.
  • 7. Bangerth, W. and Rannacher, R. (2003) Adaptive Finite Element Methods for Differential Equations. Birkh¨auser, Basel.
  • 8. Bank, R. E. (1996) Hierarchical bases and the finite element method. Acta Numerica, 5, 1–45.
  • 9. Bank, R. E. and Smith, R. K. (1993) A posteriori error estimates based on hierarchical bases. SIAM Journal on Numerical Analysis, 30(4), 921–935.
  • 10. Brenner, S. C. and Scott, L. R. (2002) The Mathematical Theory of Finite Element Methods. Springer, New York, 2nd edition.
  • 11. Carstensen, C. and Merdon, C. (2010) Estimator competition for poisson problems. Journal of Computational Mathematics, 28(3), 309–330.
  • 12. Ciarlet, P. G. (2002) The Finite Element Method for Elliptic Problems. SIAM, Philadelphia, 2nd edition.
  • 13. Delfour, M. C., Payre, G., and Zol´esio, J.-P. (1985) An optimal triangulation for second-order elliptic problems. Computer Methods in Applied Mechanics and Engineering, 50(3), 231–261.
  • 14. Deuflhard, P., Leinen, P., and Yserentant, H. (1989) Concepts of an adaptive hierarchical finite element code. IMPACT of Computing in Science and Engineering, 1(1), 3–35.
  • 15. Friederich, J., Leugering, G., and Steinmann, P. (2012) Adaptive refinement based on asymptotic expansions of finite element solutions for node insertion in 1d. GAMM-Mitteilungen, 35(2), 175–190.
  • 16. Funken, S. A., Praetorius, D., and Wissgott, P. (2011) Efficient implementation of adaptive p1-fem in matlab. Computational Methods in Applied Mathematics, 11(4), 460–490.
  • 17. Krysl, P., Grinspun, E., and Schr¨oder, P. (2003) Natural hierarchical refinement for finite element methods. International Journal for Numerical Methods in Engineering, 56(8), 1109–1124.
  • 18. Leugering, G. and Sokolowski, J. (2008) Topological sensitivity analysis for elliptic problems on graphs. Control and Cybernetics, 37(4), 971–997.
  • 19. Leugering, G. and Sokolowski, J. (2011) Topological derivatives for networks of elastic strings. Zeitschrift f¨ur Angewandte Mathematik und Mechanik, 91(12), 926–943.
  • 20. Luce, R. and Wohlmuth, B. (2004) A local a posteriori error estimator based on equilibrated fluxes. SIAM Journal on Numerical Analysis, 42(4), 1394–1414.
  • 21. Mitchell, W. F. (1989) A comparison of adaptive refinement techniques for elliptic problems. ACM Transactions on Mathematical Software, 15(4), 210–227.
  • 22. Morin, P., Nochetto, R. H., and Siebert, K. G. (2000) Data oscillation and convergence of adaptive fem. SIAM Journal on Numerical Analysis, 38(2), 466–488.
  • 23. Morin, P., Nochetto, R. H., and Siebert, K. G. (2003) Local problems on stars: a posteriori error estimators, convergence, and performance. Mathematics of Computation, 72(243), 1067–1097.
  • 24. Morin, P., Siebert, K. G., and Veeser, A. (2008) A basic convergence result for conforming adaptive finite elements. Mathematical Methods in the Applied Sciences, 18(5), 707–737.
  • 25. Novotny, A. A., Feij´oo, R. A., Taroco, E., and Padra, C. (2003) Topological sensitivity analysis. Computer Methods in Applied Mechanics and Engineering, 192(7–8), 803–829.
  • 26. Reddy, B. D. (1998) Introductory Functional Analysis with Applications to Boundary Value Problems and Finite Elements. Springer, New York.
  • 27. Sokolowski, J. and Zochowski, A. (1999) On the topological derivative in shape optimization. SIAM Journal on Control and Optimization, 37(4), 1251–1272.
  • 28. Sokolowski, J. and Zol´esio, J.-P. (1992) Introduction to Shape Optimization: Shape Sensitivity Analysis. Springer, Berlin.
  • 29. Stein, E. (2003) Error-controlled Adaptive Finite Elements in Solid Mechanics. Wiley, Chichester.
  • 30. Verfurth, R. (1996) A Review of a Posteriori Error Estimation and Adaptive Mesh Refinement Techniques. Wiley-Teubner, Chichester.
  • 31. Zienkiewicz, O. C. and Craig, A. (1986) Adaptive refinement, error estimates, multigrid solution, and hierarchic finite element method concepts. In: I. Babuˇska, O. C. Zienkiewicz, J. Gago, and E. Oliviera, eds., Accuracy Estimates and Adaptive Refinements in Finite Element Computations, John Wiley & Sons, New York, 25–59.
  • 32. Zienkiewicz, O. C., Gago, J., and Kelly, D. W. (1983) The hierarchical concept in finite element analysis. Computers and Structures, 16(1–4), 53–65.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d260ef36-a952-4c81-8ada-0b41d6d5dbbc
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