An enhanced curvature-constrained design method for manufacturable variable stiffness composite laminates

Zhi Hong*, Daniël Peeters, Sergio Turteltaub

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)
103 Downloads (Pure)


In this paper, design strategies are developed to explore better approaches of enforcing local layer-wise curvature constraints in the optimization of variable stiffness laminates in order to ensure the manufacturability of optimized designs based on the limitations of automated fiber placement. The methods developed here aim to improve an existing approach of imposing the curvature constraint directly on the fiber angles (i.e., direct control method) and are suitable for a design framework that uses lamination parameters as primary design variables. One approach developed here, termed the indirect control method, enforces the curvature constraint indirectly with better computational efficiency through the spatial gradient of the lamination parameters. It is shown that the curvature constraint on the actual fiber angles can also be satisfied with a sufficiently stringent upper bound albeit it produces overly conservative designs. Alternatively, an enhanced approach, termed the hybrid control method, is developed by combining the direct method and a relaxed version of the indirect control method. The case studies of minimum compliance design indicate that it provides the best manufacturable design among the three methods in the context of variable stiffness laminates using lamination parameters.

Original languageEnglish
Article number106284
Number of pages15
JournalComputers and Structures
Publication statusPublished - 1 Oct 2020


  • Compliance optimization
  • Curvature constraints
  • Gradient constraints
  • Manufacturable variable stiffness laminates


Dive into the research topics of 'An enhanced curvature-constrained design method for manufacturable variable stiffness composite laminates'. Together they form a unique fingerprint.

Cite this