Uncovering the hidden skeleton of flow transport
Event details
| Date | 10.06.2015 |
| Hour | 11:00 › 12:00 |
| Speaker | Pr. Thomas Peacock is Associate Professor in Mechanical Engineering at MIT, USA. His current research interests are Internal Waves, Stratified Flows, Nonlinear Dynamics, Fluid Dynamics and Experimental Methods. |
| Location | |
| Category | Conferences - Seminars |
Recent years have seen several major environmental disasters throughout the Earth’s oceans, such as the the Deepwater Horizon oil spill and the Tohoku Tsunami that caused the release of substantial amounts of debris and radioactive contamination. In each of these disasters, material was released from what was essentially a point source into a background flow, and understanding how this material would be transported by the flow was of paramount importance.
In order to predict the outcome of events such as these, the standard approach is to run numerical simulations and use the resulting velocity field data sets to generate predicted trajectories. Whilst certainly a powerful predictive tool, the resulting trajectories can often be convoluted, resulting in “spaghetti plots” that are difficult to interpret. More significantly, the trajectory analysis approach provides little explanation as to 'why' things evolve the way they do.
To improve understanding and forecasting, therefore, there is a pressing need to develop new concepts and methods that provide deeper insight regarding flow transport. We present an overview of novel approaches for uncovering the underlying skeleton of Lagrangian transport. Both idealized and real world examples are used to demonstrate the methods.
In order to predict the outcome of events such as these, the standard approach is to run numerical simulations and use the resulting velocity field data sets to generate predicted trajectories. Whilst certainly a powerful predictive tool, the resulting trajectories can often be convoluted, resulting in “spaghetti plots” that are difficult to interpret. More significantly, the trajectory analysis approach provides little explanation as to 'why' things evolve the way they do.
To improve understanding and forecasting, therefore, there is a pressing need to develop new concepts and methods that provide deeper insight regarding flow transport. We present an overview of novel approaches for uncovering the underlying skeleton of Lagrangian transport. Both idealized and real world examples are used to demonstrate the methods.
Links
Practical information
- General public
- Free
Organizer
- Laboratory of Fluid Mechanics and Instabilities (LFMI)
Contact
- Prof. François Gallaire