Topology optimization of multiscale structures considering local and global buckling response

Christoffer Fyllgraf Christensen*, Fengwen Wang, Ole Sigmund

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Much work has been done in topology optimization of multiscale structures for maximum stiffness or minimum compliance design. Such approaches date back to the original homogenization-based work by Bendsøe and Kikuchi from 1988, which lately has been revived due to advances in manufacturing methods like additive manufacturing. Orthotropic microstructures locally oriented in principal stress directions provide for highly efficient stiffness optimal designs, whereas for the pure stiffness objective, porous isotropic microstructures are sub-optimal and hence not useful. It has, however, been postulated and exemplified that isotropic microstructures (infill) may enhance structural buckling stability but this has yet to be directly proven and optimized. In this work, we optimize buckling stability of multiscale structures with isotropic porous infill. To do this, we establish local density dependent Willam–Warnke yield surfaces based on local buckling estimates from Bloch–Floquet-based cell analysis to predict local instability of the homogenized materials. These local buckling-based stress constraints are combined with a global buckling criterion to obtain topology optimized designs that take both local and global buckling stability into account. De-homogenized structures with small and large cell sizes confirm validity of the approach and demonstrate huge structural gains as well as time savings compared to standard singlescale approaches.
Original languageEnglish
Article number115969
JournalComputer Methods in Applied Mechanics and Engineering
Volume408
Number of pages29
ISSN0045-7825
DOIs
Publication statusPublished - 2023

Keywords

  • Buckling strength
  • Isotropic microstructures
  • Multiscale structure
  • Stability
  • Stress constraint
  • Topology optimization

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