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Course — Large Eddy Simulation and Related Techniques
13. Mai 2024 - 17. Mai 2024 • Sint-Genesius-Rode (near Brussels) - hybrid, Belgien
Veranstalter:
von Karman Institute for Fluid Dynamics
Zusammenfassung:
The purpose of this Lecture Series is to offer a full overview of the present development and the potential of the Large Eddy Simulation (LES) of turbulent flows. The first part of the course will introduce and discuss fundamental principles, present state-of-the-art applications. The specific numerical problems related to the implementation of LES will be also presented. The second part will present applications of these approaches to various engineering fields of wide interest. The course will be concluded discussing the possible developments of LES and Detached Eddy Simulation (DES) which represents the most promising technique to extend the usefulness of LES for high Reynolds-number flows. The course will be delivered by internationally recognized experts. Its content is addressed both to researchers interested in the fundamental simulation of turbulence and engineers wanting to apply the LES technique or LES solvers to the accurate simulations of turbulent flows.
Eintrags-ID:
1572789
2
Course — Hands on Machine Learning for Fluid Dynamics 2024
27. Mai 2024 - 31. Mai 2024 • Sint-Genesius-Rode (near Brussels), Belgien
Veranstalter:
von Karman Institute for Fluid Dynamics
Zusammenfassung:
This course gives an overview and practical hands-on experience in integrating machine learning in fluid dynamics. The course originated as a compressed version of the course Machine Learning for Fluid Dynamics, given at the Research Master program at the von Karman Institute. After a brief review of the machine learning landscape, we show how to frame problems in fluid mechanics as machine learning problems, and we explore challenges and opportunities. Attendees will be guided through a series of tutorial sessions in Python and will tackle several relevant applications: aeroacoustics' noise prediction, turbulence modelling, reduced-order modelling and forecasting, meshless integration of (partial) differential equations, super-resolution and flow control.
Eintrags-ID:
1572744
3
Introduction to Quantum Computing in Fluid Dynamics
08. Jul 2024 - 12. Jul 2024 • Sint-Genesius-Rode (near Brussels) - hybrid, Belgien
Veranstalter:
This lecture series is organized by the von Karman institute for Fluid Dynamics with the financial support of the NATO Science & Technology Organization.
Zusammenfassung:
This lecture series is suitable for individuals with a background in fluid dynamics and an interest in learning about the potential of quantum computing in this field.
Eintrags-ID:
1614601
4
Course — Multidisciplinary Design Optimization
09. Sep 2024 - 13. Sep 2024 • Sint-Genesius-Rode (near Brussels) - hybrid, Belgien
Veranstalter:
von Karman Institute for Fluid Dynamics
Zusammenfassung:
Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, …), are now rapidly moving from research labs to industrial real and virtual platforms. To reach concurrently this level of excellence, emergent optimization methodologies require more and more robust and efficient associated software for a daily use in industrial collaborative design environments. This course intends to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction, fluid-acoustics, conjugate heat transfer, …) context. Subjects which will be treated in detail include: gradient based and steepest descent methods, adjoint methods, one shot or goal oriented methods, evolutionary/differential evolution algorithms on parallel environments, game strategies like Pareto Fronts and Nash Equilibrium, parameterization, surrogate and reduced-order modeling (Radial Basis functions, Artificial Neural Networks, Kriging …), multifidelity modeling approaches, robust design, … The content of this Course is oriented towards junior and experienced engineers and researchers involved in the field of multi disciplinary design and looking for innovative numerical solutions - or set of solutions- for complex multi criteria optimization problems.
Eintrags-ID:
1572721


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