QR-patterns

artefacts in multiresolution topology optimization

Journal Article (2018)
Author(s)

DK Gupta (TU Delft - Computational Design and Mechanics)

M Langelaar (TU Delft - Computational Design and Mechanics)

F. van van Keulen (TU Delft - Computational Design and Mechanics)

Research Group
Computational Design and Mechanics
Copyright
© 2018 D.K. Gupta, Matthijs Langelaar, A. van Keulen
DOI related publication
https://doi.org/10.1007/s00158-018-2048-6
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 D.K. Gupta, Matthijs Langelaar, A. van Keulen
Research Group
Computational Design and Mechanics
Issue number
4
Volume number
58
Pages (from-to)
1335-1350
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Recent multiresolution topology optimization (MTO) approaches involve dividing finite elements into several density cells (voxels), thereby allowing a finer design description compared to a traditional FE-mesh-based design field. However, such formulations can generate discontinuous intra-element material distributions resembling QR-patterns. The stiffness of these disconnected features is highly overestimated, depending on the polynomial order of the employed FE shape functions. Although this phenomenon has been observed before, to be able to use MTO at its full potential, it is important that the occurrence of QR-patterns is understood. This paper investigates the formation and properties of these QR-patterns, and provides the groundwork for the definition of effective countermeasures. We study in detail the fact that the continuous shape functions used in MTO are incapable of modeling the discontinuous displacement fields needed to describe the separation of disconnected material patches within elements. Stiffness overestimation reduces with p-refinement, but this also increases the computational cost. We also study the influence of filtering on the formation of QR-patterns and present a low-cost method to determine a minimum filter radius to avoid these artefacts.