Uncertainty-oriented topology optimization of interval parametric structures with local stress and displacement reliability constraints

Haijun Xia, Lei Wang*, Yaru Liu

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

17 Citations (Scopus)

Abstract

This paper presents the interval reliability-based topology optimization (IRBTO) framework and an effective solution procedure for interval parametric structures to achieve optimal material configurations under consideration of local stiffness and strength failure. Firstly, ε-relaxed stress criterion and global stress aggregation approach are involved to circumvent the stress singularity and multi-constrained problems. Combined the orthogonal polynomial expansion with the set allocation theorem, an interval dimension-by-dimension method (IDDM) is proposed to determine feasible bounds of structural responses under unknown-but-bounded load and material uncertainties. The interval reliability (IR) is then applied to handle the limited reliability constraints of concerned displacements and the global stress measure. Meanwhile, the adjoint-vector based sensitivity analysis of presented IR indexes to design variables is further discussed to avoid expensive computational cost from the large-scale nature of variable updating. The usage, rationality, and superiority of the developed methodology are demonstrated by several case applications.

Original languageEnglish
Article number112644
JournalComputer Methods in Applied Mechanics and Engineering
Volume358
Early online date1 Oct 2019
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • Interval reliability-based topology optimization (IRBTO)
  • Local stiffness and strength failure
  • ε-relaxed stress criterion
  • The interval dimension-by-dimension method (IDDM)
  • The adjoint-vector based sensitivity analysis

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