A shape optimization algorithm for cellular composites
Martin Siebenborn, Andreas Vogel

TL;DR
This paper introduces a mesh deformation method with gradient penalization for PDE-constrained shape optimization, enabling scalable and stable optimization of cellular composite shapes under tension.
Contribution
It presents a novel mesh deformation technique with gradient penalization that prevents mesh degeneration and enhances scalability in PDE-constrained shape optimization.
Findings
Gradient penalization effectively prevents mesh degeneration.
The method scales well with parallel multigrid solvers.
Application to cellular composites under tension demonstrates practical utility.
Abstract
We propose and investigate a mesh deformation technique for PDE constrained shape optimization. Introducing a gradient penalization to the inner product for linearized shape spaces, mesh degeneration can be prevented within the optimization iteration allowing for the scalability of employed solvers. We illustrate the approach by a shape optimization for cellular composites with respect to linear elastic energy under tension. The influence of the gradient penalization is evaluated and the parallel scalability of the approach demonstrated employing a geometric multigrid solver on hierarchically distributed meshes.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
