The EDF R&D teams made an active contribution to the CSMA 2026 conference with nine oral presentations and two posters. Most of this work draws on code_aster and its ecosystem to develop new numerical methods and address cutting-edge industrial challenges.

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Presentations

• Linearly Preconditioned Substructured RASPEN for Structural Mechanics Nicolas Tardieu (LAMSID, EDF R&D) abstract

• 3D HPC hydro-mechanical simulation for a T-junction in deep tunnels Ana Clara Ordonez Egas (EDF R&D) abstract

• Comparison of 1D-3D boundary conditions for multi-scale analysis of defects in wind turbine blades Théo Barottin (LMN, EDF R&D) abstract

• The contribution of reinforcement learning to the control of post-buckling analysis in structural engineering Elio Marquis (LMPS, EDF R&D) abstract

• Numerical solution of contact-friction using a mortar-type approach with ray tracing Eki Agouzal (EDF R&D) abstract

• A probabilistic method for locating cracks in rotors using Bayesian inference Donatien Rossat (EDF R&D) abstract

• A cohesive zone model for the hydromechanical behaviour of interfaces Goustan Bacquaert (EDF R&D) abstract

• 3D fluid–structure interaction within the core of pressurised water reactors using a hydraulic network approach Taryk Belazzouz (EDF R&D) abstract

• Two-Level Schwarz Preconditioning for Large-Scale HHO Problems Bahaa Eddine Sidi Hida (EDF R&D) abstract

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Posters

• Pipeweld: a numerical simulation tool drawing on over 20 years of welding research – Josselin Delmas (EDF R&D)

• salome_meca: A mechanical simulation platform tailored for studies and research Joaquin Cornejo Fuentes (EDF R&D)

This high level of participation illustrates the dynamism of the EDF R&D teams and the central role played by code_aster in the work presented at the CSMA 2026 conference.