Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses

R. N. Glaesener, S. Kumar, C. Lestringant, T. Butruille, C. M. Portela, D. M. Kochmann*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

55 Downloads (Pure)


Although architected materials based on truss networks have been shown to possess advantageous or extreme mechanical properties, those can be highly affected by tolerances and uncertainties in the manufacturing process, which are usually neglected during the design phase. Deterministic computational tools typically design structures with the assumption of perfect, defect-free architectures, while experiments have confirmed the inevitable presence of imperfections and their possibly detrimental impact on the effective properties. Information about the nature and expected magnitude of geometric defects that emerge from the additive manufacturing processes would allow for new designs that aim to mitigate (or at least account for) the effects of defects and to reduce the uncertainty in the effective properties. To this end, we here investigate the effects of four most commonly found types of geometric imperfections in trusses, applied to eleven representative truss topologies in two and three dimensions. Through our study, we (i) quantify the impact of imperfections on the effective stiffness through computational homogenization, (ii) examine the sensitivity of the various truss topologies with respect to those imperfections, (iii) demonstrate the applicability of the model through experiments on 3D-printed trusses, and (iv) present a machine learning framework to predict the presence of defects in a given truss architecture based merely on its mechanical response.

Original languageEnglish
Article number118918
Number of pages19
JournalActa Materialia
Publication statusPublished - 2023


  • Elasticity
  • Finite element method
  • Imperfection
  • Machine learning
  • Metamaterial
  • Truss


Dive into the research topics of 'Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses'. Together they form a unique fingerprint.

Cite this