CSMA2026

(Model-Free) Data-Driven Computational Mechanics under Unilateral Constraints: application to contact
Felipe Rocha  1, 2@  , Laurent Stainier  3, 4@  
1 : Laboratoire Modélisation et Simulation Multi-Echelle
Univ Paris Est Creteil, Univ Gustave Eiffel, UMR 8208, MSME, F-94010, Créteil, France
2 : Institut de Recherche en Génie Civil et Mécanique
Nantes Université, Ecole Centrale Nantes, CNRS, GeM, UMR 6183, F-44000 Nantes, France
3 : Institut de Recherche en Génie Civil et Mécanique  (GeM)  -  Site web
Centre National de la Recherche Scientifique, Nantes Université - École Centrale de Nantes, Nantes université - UFR des Sciences et des Techniques, Nantes Université - Institut Universitaire de Technologie Saint-Nazaire, Nantes Université - Ecole Polytechnique de l'Université de Nantes
1, rue de la Noë BP92101 44321 Nantes cedex 3 -  France
4 : NANTES UNIVERSITÉ - École Centrale de Nantes  (Nantes Univ - ECN)  -  Site web
Nantes Université
1 rue de la Noë - BP 92101 - 44321 Nantes cedex 3 -  France

(Model-Free) Data-Driven Computational Mechanics (DDCM) method departs from classical PDE-
based formulations by replacing constitutive laws with raw material data, leading to a variational prob-
lem formulated as a double minimisation between mechanically admissible states and data-consistent
states. While many of the mechanical admissibility constraints can be enforced naturally within a finite
element setting, others require special treatment in the data-driven context. In this work, we focus on
unilateral constraints arising in contact mechanics, formulated as nonlinear complementarity conditions
of Signorini type. Such constraints have not yet been addressed within the DDCM framework, despite
their practical relevance and nontrivial treatment. We first introduce a one-dimensional prototype prob-
lem to illustrate the main ideas and numerical challenges. The proposed formulation extends DDCM to
contact problems and lays the groundwork for data-driven simulations involving inequality-constrained
mechanics.


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