OpenFoam Workshop 24th September,2026
OpenFoam Workshop 24th September,2026

Programme

24 September 2026

13:00 - 13:05
Opening bij Geert Keetels
13:05 - 13:50

 

Tomislav Maric (Mathematical Modeling and Analysis (MMA) group, TU Darmstadt),
 
Title: Bayesian Optimization in OpenFOAM
 
Abstract: Abstract: Bayesian Optimization (BO) is a highly data-efficient optimization framework for problems where each function evaluation is expensive, noisy, and obtained through a complex computational workflow. In this tutorial, we will investigate the application of BO to Computational Fluid Dynamics by combining open-source tools in the context of Bayesian computer-aided design optimization. The tutorial will demonstrate how geometry generation, meshing, CFD simulation, post-processing, and surrogate-based optimization can be integrated into an automated workflow for improving the performance of a passive micromixer. It will be followed by an overview talk of numerical methods for simulating multiphase flows, where BO has significant potential for improving chemical engineering systems involving interfaces, droplets, emulsions, free surfaces, and transport processes.

 

13:50 - 14:25

Wim-Paul Breugem, (TU Delft) 

Title: On the hydrodynamic stability of a viscous liquid jet enclosed in a narrow tube

Abstract:

 

 

 

14:25 - 14:55

Coffee break

14:55 - 15:40
 
Alessio Ricci, Associate Professor in Fluid Dynamics & Wind Engineering - University School for Advanced Studies of Pavia (IUSS Pavia), Italy
 
Title: OpenFOAM-based high-fidelity digital twins for CFD simulations over large-scale environments
 
Abstract: Large-scale digital twins are becoming a key component of Computational Wind Engineering, enabling high-fidelity CFD simulations over complex environments with urban infrastructure. However, the reconstruction and preparation of such models remain challenging due to the scale, geometric complexity, heterogeneous data sources, and the demanding requirements of CFD meshing and simulation workflows. The lecture will focus on the creation of digital twins for CFD applications by OpenFOAM. The potential of such models for multiple applications will be discussed, including urban wind assessment and the identification of wind-hazard prone regions.
Bio: A. Ricci received a Double Ph.D in Structural and Geothecnical Engineering & Wind Engineering from the University of Genoa (Italy) and the Eindhoven University of Technology (the Netherlands) in 2017. He is currently an Associate Professor of Fluid Dynamics and Wind Engineering within the Climate Change Impact Studies for Risk Management research unit at the University School for Advanced Studies of Pavia, Italy. His research interests include the numerical and experimental modeling of ABL winds, thunderstorm downbursts, and tornadic winds in complex environments, as well as the assessment of their effects on structures and infrastructures.
 
15:40 - 16:25
Ali Amiri, (TU Delft)
 
Title: Validation of MRI-Based
Stenotic Flow Measurements Using High-Fidelity LES in OpenFOAM
 
Abstract: Accurate, non-invasive estimation of pressure drop across cardiovascular stenoses requires reliable measurement of complex flow fields, including jet formation, flow separation, recirculation, and turbulence downstream of the narrowing. However, MRI-based velocity measurements can be affected by limited spatial resolution, velocity encoding choices, and noise, particularly in regions with strong velocity gradients and turbulent fluctuations.

In this work, high-fidelity Large Eddy Simulation using OpenFOAM is used as a reference framework to validate MRI measurements in stenotic cardiovascular flow conditions. The LES resolves the dominant turbulent structures and provides detailed access to mean velocity, Reynolds stress components, turbulent kinetic energy, and pressure drop throughout the stenotic geometry. These numerical results are compared with MRI-derived flow quantities in an experimental benchmark setup to assess the accuracy and limitations of MRI in disturbed and turbulent flow regions.

The presentation will focus on how LES can support the validation and interpretation of MRI measurements for stenotic flows, with particular attention to quantities relevant for non-invasive pressure drop estimation. This work demonstrates the value of OpenFOAM-based LES as a high-resolution reference tool for evaluating medical imaging techniques and improving confidence in image-based cardiovascular flow assessment.
 
16:25 - 16:30
Wrap-up session and planning other user activities 2026-2027, Geert Keetels
16:30 - 17:00

Social network with drinks