Component‐Based Model‐Order Reduction With Mortar Tied Contact for Nonlinear Quasi‐Static Mechanical Problems
ABSTRACT In this work, we present a model‐order reduction technique for nonlinear structures assembled from components. The reduced‐ order model is constructed by reducing the substructures with proper orthogonal decomposition and connecting them by a mortar‐tied contact formulation. The substructure projection matrices are computed by the proper orthogonal decomposition (POD) method from snapshots computed on the substructure level. The snapshots are computed using Latin hypercube sampling based on a parametrization of the boundary conditions. In numerical examples, we show the accuracy and efficiency of the method for nonlinear problems involving material and geometric nonlinearities as well as non‐matching meshes. The method can predict solutions of new systems with varying boundary conditions and material behaviors.
Authors
- Stefanie Reese (ORCID: https://orcid.org/0000-0003-4760-8358)
- Tim Brepols (ORCID: https://orcid.org/0000-0002-1039-1776)
- Stephan Ritzert (ORCID: https://orcid.org/0000-0003-4416-6996)
- Jannick Kehls (ORCID: https://orcid.org/0009-0007-8254-9900)
Institutions
- University of Siegen (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- International Journal for Numerical Methods in Engineering
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1002/nme.70041
- Citations
- 4
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 5.29
Funders
- Deutsche Forschungsgemeinschaft