Benjamin Sanderse, researcher at CWI, Amsterdam. Title: Energy-Consistent Generative Models for Fluid Flow Simulation Abstract: Despite the enormous potential of generative modelling, its application to replace expensive physics simulations is still limited. One outstanding challenge in achieving efficient inference is to maintain physical consistency of the generated results. In this…
Frédéric Joly, lecturer at LMEE, Univ. Evry Title: Model Reduction in Thermal Engineering – Applications Abstract: Despite the ever-increasing performance of computers, reduced models in thermal respond to an industrial demand: For example, in the case of satellites, the memory size allocated for thermal is imposed by ESA, and it…
Jean-Lou Pfister, research engineer at IFPEN Title: Digital twin for operations & maintenance planning of wind energy assets Abstract: Cost constraints in wind energy, particularly offshore, call for the development of efficient operation & maintenance solutions. IFPEN develops methodologies for monitoring wind energy assets, by coupling physical models to data…
Mohamed Maama, postdoc at KAUST Titre: Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications Abstract: I will present a new antithetic multilevel Monte Carlo (MLMC) method for the estimation of expectations with respect to laws of diffusion processes that can be elliptic or hypo-elliptic. In particular, we consider…
Thiago Ritto, Associate Professor in the Dept. of Mechanical Engineering at the Federal University of Rio de Janeiro Title: Uncertainty propagation through matrix perturbation and parameter identification using reinforcement learning applied to structural and rotor dynamics Abstract: In this talk, I will present some of the research I’m developing at…
Charlie Sire, Post-doc Fellow, ASCII Inria Team Titre: Méthodes de quantification pour la visualisation du risque d’inondation
Zachary Jones, PhD student, Platon Team Title: Stochastic Tangential Pareto Dynamics for Pareto Front Estimation and Uncertainty Quantification Abstract: The framework of stochastic multi-objective programming allows for the inclusion of uncertainties in multi-objective optimization problems at the cost of transforming the set of objectives into a set of expectations of…
Hugo Nicolas, PhD student, Platon Team Title: Development of a Velocity Prediction Program for the Design Optimization of Hydrofoiling Sailboats Abstract: From sport to the marine industry, hydrofoils represent a great step forward to improve ship performance, seakeeping, and reduce energy consumption. With that, hydrofoil design has become a crucial…
Hanane Khatouri, Research Engineer, Platon Team Title: Adaptive full-field multi-fidelity surrogate-based optimization dedicated to turbomachinery Abstract: We are interested in the reduction of optimization costs during aircraft engine design where the quantities of interest are derived from a 2D or 3D solution physics-based surrogate models. The cost associated with the…
Mariachiara Gallia, PhD student, Dipartimento di Ingegneria Aerospaziale, Politecnico di Milano Title: Novel framework for the robust optimization of the heat flux distribution for an Electro-Thermal Ice Protection System and airfoil performance analysis Abstract: In this work we present a framework for the robust optimization of the heat flux distribution…
