Comparison of FETI-based domain decomposition methods for topology optimization problems

Authors

  • Tomáš Medřický Czech Technical University in Prague, Faculty of Civil Engineering, Department of Mechanics, Thákurova 7, 166 29 Prague, Czech Republic
  • Martin Doškář Czech Technical University in Prague, Faculty of Civil Engineering, Department of Mechanics, Thákurova 7, 166 29 Prague, Czech Republic
  • Ivana Pultarová Czech Technical University in Prague, Faculty of Civil Engineering, Department of Mathematics, Thákurova 7, 166 29 Prague, Czech Republic
  • Jan Zeman Czech Technical University in Prague, Faculty of Civil Engineering, Department of Mechanics, Thákurova 7, 166 29 Prague, Czech Republic

DOI:

https://doi.org/10.14311/APP.2022.34.0043

Keywords:

total FETI, FETI Dual-Primal, topology optimization, optimization, heterogeneous problems, k-scaling, simultaneous FETI

Abstract

We critically assess the performance of several variants of dual and dual-primal domain decomposition strategies in problems with fixed subdomain partitioning and high heterogeneity in stiffness coefficients typically arising in topology optimization of modular structures. Our study considers Total FETI and FETI Dual-Primal methods along with three enhancements: k-scaling, full orthogonalization of the search directions, and considering multiple search-direction at once, which gives us twelve variants in total. We test these variants both on academic examples and snapshots of topology optimization iterations. Based on the results, we conclude that (i) the original methods exhibit very slow convergence in the presence of severe heterogeneity in stiffness coefficients, which makes them practically useless, (ii) the full orthogonalization enhancement helps only for mild heterogeneity, and (iii) the only robust method is FETI Dual-Primal with multiple search direction and k-scaling.

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Published

2022-03-24

How to Cite

Medřický, T. ., Doškář, M. ., Pultarová, I. ., & Zeman, J. . (2022). Comparison of FETI-based domain decomposition methods for topology optimization problems. Acta Polytechnica CTU Proceedings, 34, 43–49. https://doi.org/10.14311/APP.2022.34.0043