Topology optimization with local stress constraints and continuously varying load direction and magnitude: towards practical applications

Fernando V. Senhora, Ivan F.M. Menezes, Glaucio H. Paulino

Research output: Contribution to journalArticlepeer-review

Abstract

Topology optimization problems typically consider a single load case or a small, discrete number of load cases; however, practical structures are often subjected to infinitely many load cases that may vary in intensity, location and/or direction (e.g. moving/rotating loads or uncertain fixed loads). The variability of these loads significantly influences the stress distribution in a structure and should be considered during the design. We propose a locally stress-constrained topology optimization formulation that considers loads with continuously varying direction to ensure structural integrity under more realistic loading conditions. The problem is solved using an Augmented Lagrangian method, and the continuous range of load directions is incorporated through a series of analytic expressions that enables the computation of the worst-case maximum stress over all possible load directions. Variable load intensity is also handled by controlling the magnitude of load basis vectors used to derive the worst-case load. Several two- and three-dimensional examples demonstrate that topology-optimized designs are extremely sensitive to loads that vary in direction. The designs generated by this formulation are safer, more reliable, and more suitable for real applications, because they consider realistic loading conditions.

Original languageEnglish (US)
Article number20220436
JournalProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume479
Issue number2271
DOIs
StatePublished - Mar 29 2023

All Science Journal Classification (ASJC) codes

  • General Mathematics
  • General Engineering
  • General Physics and Astronomy

Keywords

  • continuously varying load
  • multiple load case
  • stress constraints
  • topology optimization
  • worst-case

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