Optimality of grids based on a combined r-h adaptive strategy

  • A. Rajagopal IIT Madras Chennai 60036
  • S. M. Sivakumar IIT Madras Chennai 60036

Abstract

A critical review of earlier works on optimality of finite element grids has been made. A material force method of r-adaption to obtain optimal initial grids has been described. The study focuses on determining the configurational driving force and its convergence rate across an interior patch node for one-dimensional linear, quadratic element and two-dimensional bilinear quadrilateral elements. Numerical implementation is made on one and two-dimensional problems. Various aspects considered to define optimality in earlier works along with their predefined guidelines have also been worked out with some modifications for the material force method and it is shown that this method of adaption provides good optimal grids. The method is advantageous owing to its physical basis and mathematical vigor than earlier works. Based on the numerical studies conducted a combined adaptive strategy incorporating node disposition and mesh enrichment has been evolved to obtain an optimal mesh for a specified accuracy.

Keywords

References

[1] H. Askes, A. Rodriguez-Farran. An r-h adaptive strategy based on domain subdivision and error assessment. Civil-Comp Press, Edinburgh, 95-102, 2000.
[2] M. Braun. Configurational forces induced by Finite element discretization. Proc. Estonian Acad. Sci. Phys. Math., 46 (1/2): 24-31. 1997.
[3] W. E. Carol. Inclusive Criteria for Optimum Grid Generation in the Discrete Analysis Technique. Computers and Structures, 6(4-5): 333-337, 1976.
[4] W. E. Carol, R. M. Baker. A Theorem of Optimum Finite Element Idealizations. I. J. of Solids and Structures, 9(7): 883- 895, 1973.
[5] G. F. Carey. A Mesh Refinement Scheme for Finite Element Computations. Computer Methods in Applied Mechanics and Engineering, 7(1): 93- 105, 1976.
Published
Nov 17, 2022
How to Cite
RAJAGOPAL, A.; SIVAKUMAR, S. M.. Optimality of grids based on a combined r-h adaptive strategy. Computer Assisted Methods in Engineering and Science, [S.l.], v. 13, n. 2, p. 247-268, nov. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/950>. Date accessed: 23 dec. 2024.
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Articles