Mardi 26 mai 2026 à 11h00 / Amphi F. Canac, LMA
After introducing the general framework of uncertainty management for computational models together with current research directions, this talk will focus on two recent works on optimisation:
1) Robust topology optimisation for metallic additive manufacturing (AM): significant material variability is observed in metallic AM due to the 3D-printing process, which impacts the final mechanical performances of the printed parts. We formulate the design problem as a robust topology optimisation problem under uncertainty, where material variability is explicitly incorporated into the topology optimisation framework, leading to designs that are less sensitive.
2) Parametric optimisation of bifurcation diagrams: bifurcations occur in the dynamics of many natural and engineered systems. This work investigates how the optimisation of design parameters can be used to control bifurcation locations. To this end, an objective function that encourages the appearance of bifurcation points at targeted locations is proposed. The framework is applied to several mechanical systems.
Enora Denimal Goy - INRIA ; Centre de Mathématiques Appliquées (CMAP)