Sparse approximations for contact mechanics
Kiran Sagar Kollepara, José V. Aguado, Yves Le Guennec, Luisa Silva, Domenico Borzacchiello
TL;DR
The paper tackles the challenge of reduced-order modeling for frictionless, non-adhesive contact by addressing the linear inseparability of contact pressure through dictionary-based sparse approximations. It introduces a greedy active-set procedure that selects a small number of entries from a large offline dictionary to reconstruct online contact pressures while enforcing non-penetration constraints. The approach is demonstrated on Hertz and ironing problems, showing that sparse dictionary selection can achieve accurate reconstructions with substantially reduced online cost, though performance depends on the extent of contact zone variation. The work highlights practical benefits for real-time simulations and outlines bottlenecks related to nonlinear operator evaluation and manifold interpolation, suggesting avenues for further research in nonlinear ROM techniques and initialization strategies.
Abstract
Low-rank model order reduction strategies for contact mechanics show limited dimensionality reduction due to linear inseparability of contact pressure field. Therefore, a dictionary based strategy is explored for creating efficient models for frictionless non-adhesive contact. A large dictionary of contact pressure trajectories is generated using a high-fidelity finite element model, while approximating the online query with a small number of dictionary entries. This is achieved by inducing sparsity in the approximation. Accuracy, computational effort and limitations of such methods are demonstrated on few numerical examples.
