Virtual Delamination Testing through Non-Linear Multi-Scale Computational Methods: Some Recent Progress
Olivier Allix (LMT), Pierre Gosselet (LMT), Pierre Kerfriden, Karin, Saavedra (LMT)

TL;DR
This paper advances multi-scale computational methods for virtual delamination testing of composites, addressing nonlinear challenges with innovative strategies like macro-basis adaptation and non-linear relocalization.
Contribution
It introduces a novel multi-scale framework with adaptive macro-basis, non-linear relocalization, and improved local Schur complement approximation for better nonlinear delamination simulation.
Findings
Enhanced simulation of delamination and buckling interactions
Reduced computational complexity in nonlinear problems
Effective handling of large delaminated areas
Abstract
This paper deals with the parallel simulation of delamination problems at the meso-scale by means of multi-scale methods, the aim being the Virtual Delamination Testing of Composite parts. In the non-linear context, Domain Decomposition Methods are mainly used as a solver for the tangent problem to be solved at each iteration of a Newton-Raphson algorithm. In case of strongly nonlinear and heterogeneous problems, this procedure may lead to severe difficulties. The paper focuses on methods to circumvent these problems, which can now be expressed using a relatively general framework, even though the different ingredients of the strategy have emerged separately. We rely here on the micro-macro framework proposed in (Ladev\`eze, Loiseau, and Dureisseix, 2001). The method proposed in this paper introduces three additional features: (i) the adaptation of the macro-basis to situations where…
Peer 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.
Taxonomy
TopicsComposite Material Mechanics · Advanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
