On the identification of rigid body boundary conditions from full-field measurements
This study presents a method to identify Dirichlet boundary conditions (BCs) and constitutive parameters from heterogeneous experimental data, solving a multi-objective optimization problem. The BCs are parameterized as remote rigid body motions leading to a very low number of unknowns and allowing for faster convergence. This methods enables for accurate models of material and structural tests to be obtained. A comparison with classical methods of BC determination is introduced, demonstrating the advantages of the proposed approach. The identified models are evaluated by introducing a validation metric based on experimental data and their uncertainties. The approach is illustrated by using a multi-instrumented tensile test on a well-characterized material. Beyond this validation example, the introduced method paves the way for improved model updating of large-scale tests. • A reduced model for boundary conditions identification method is proposed. • Boundary conditions are accurately determined outside the measurement area. • A quality metric is introduced to better evaluate and compare models. • The study accounts for measurement uncertainties.
Authors
- Pierre Baudoin
- François Hild A (ORCID: https://orcid.org/0000-0001-5553-0066)
- Antoine Vintache (ORCID: https://orcid.org/0000-0003-4806-8752)
- Florent Mathieu
- Renaud Gras (ORCID: https://orcid.org/0009-0004-8651-8835)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Paris-Saclay (FR)
- STMicroelectronics (France) (FR)
- CentraleSupélec (FR)
- Laboratoire de Mécanique Paris-Saclay (FR)
Publication Details
- Journal
- International Journal of Solids and Structures
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1016/j.ijsolstr.2025.113768
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Association Nationale de la Recherche et de la Technologie