The new OpenFOAM solver, sediDriftFoam2, computes sediment transport and the corresponding bed elevation changes in a three-dimensional geometry with a free surface. The formulas in the solver, the grid movements and the numerical algorithms are similar to what is used in the SSIIM model. The new solver was tested on estimation of local scour around a vertical cylinder, and the results corresponded reasonably well with the CSU empirical formula. The computational times for this case was from 2 to 58 hours on one core of an ordinary desktop PC, depending mainly on the grid size.

The Masterclass will go through the main principles and functionality of the solver, together with the grid generation. The most important parts of the source code will also be explained. The source code is freely available on the Internet.

Although the solver was only tested for local scour, it should also function on other cases with reasonable changes in the bed geometry caused by erosion and/or sediment deposition.

Details of the solver are given in the paper: Olsen, N. R. B., “Adaptive grid algorithms for computing local scour with OpenFOAM”, which has just been accepted to Journal of Hydroinformatics.

Tool development for experimental characterisation of fluid flows is advancing rapidly, with new variants of established methods appearing frequently. This Masterclass introduces several state-of-the-art techniques, explains their core principles, and demonstrates their use in the laboratory, partly through hands-on activities. Participants will be divided into five groups, each working with one of the following setups in a rotating schedule:

• Educational Particle Image Velocimetry (PIV): Laser-illuminated tracer particles are used to measure 2D velocity fields in a jet and in flow past a cylinder.
• Particle Tracking Velocimetry (PTV) – open-channel flow: Individual particles are tracked to obtain 3D velocity fields and trajectories in a free-surface channel flow.
• Particle Tracking Velocimetry (PTV) – scaled turbine rig: Particle tracking is applied in a downscaled turbine test rig to map 3D flow structures and velocities.
• Micro-PIV: High-magnification PIV for measuring low-Re velocity fields in microchannels.
• X-ray tomography: Non-invasive 3D imaging to reconstruct internal structures and flows inside otherwise opaque systems.

LED-based illumination is used for the PIV and PTV setups, and X-ray tomography is employed for non-invasive 3D imaging. All demonstrated setups are based on commercially available systems.

This master class targets all PhD students and postdocs, independent of your topic.

As academics, we spend a lot of time focusing on the content of our work, but sometimes we forget to pay attention to the work process, or how we work, think and act. However, the process is important to finish our projects on time and manage our stress levels.

The workshop in this master class shifts the focus from the what to the how, giving you strategies and practical techniques to finish your dissertation on time and feel good along the way. You will learn about units, the weekly schedule and the 80/20 principle and apply these tools to your own work situation. You thus get a toolbox for increased academic effectiveness that many PhD students have applied successfully to their own academic work, as well as in collaboration with their supervisors. The toolbox consists of research-based approaches and proven techniques. These tools also offer a more sustainable working pattern by supporting you in choosing the right activities, the ones that move you in the right direction, rather than the many or all activities.

Agenda

• Introduction
• Efficiency vs. Effectiveness
• The 80/20 principle
• End product focus (individual and team-work)
• Working in units