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Velocity Estimation for a Tunnel Fire Backlayering Scenario
This project focuses on velocity estimation using synthetic BOS velocimetry images for a tunnel fire backlayering scenario. The student’s task may include cross-correlation analysis for consecutive flow images, image processing of x-t diagrams and correlation-based feature selection.
The (speckle) background oriented schlieren (BOS) technique is sensitive to temperature variations in fluids and provides projective 2D data of turbulent flow structures. These 2D flow signatures can serve as traceable structures to estimate flow velocities using for example image correlation techniques. The tunnel fire backlayering scenario, modelled in the IFD hot gas tunnel, represents an interesting test case for speckle BOS velocimetry applications due the occurrence of counter-moving flow velocities.
This project focuses on velocity estimation based on synthetic BOS velocimetry images generated from large eddy simulation data for a backlayering scenario. A significant part of this project will be dedicated to the investigation of cross-correlation properties between consecutive time frames and the interpretation of the results in the context of the three dimensional structure of the backlayering zone and the spatial resolution of the extraction method. The project can be extended to image processing of x-t diagrams or correlation based feature selection techniques.
The (speckle) background oriented schlieren (BOS) technique is sensitive to temperature variations in fluids and provides projective 2D data of turbulent flow structures. These 2D flow signatures can serve as traceable structures to estimate flow velocities using for example image correlation techniques. The tunnel fire backlayering scenario, modelled in the IFD hot gas tunnel, represents an interesting test case for speckle BOS velocimetry applications due the occurrence of counter-moving flow velocities.
This project focuses on velocity estimation based on synthetic BOS velocimetry images generated from large eddy simulation data for a backlayering scenario. A significant part of this project will be dedicated to the investigation of cross-correlation properties between consecutive time frames and the interpretation of the results in the context of the three dimensional structure of the backlayering zone and the spatial resolution of the extraction method. The project can be extended to image processing of x-t diagrams or correlation based feature selection techniques.
- Familiarize with tunnel fire backlayering scenario and background oriented Schlieren velocimetry.
- Cross-correlation analysis using synthetic data for velocity estimation.
- Documentation and presentation of the results.
Depending on the student’s background and the scope of the thesis, the project may further include:
- Image processing: Velocity extraction based on coherent streak detection in x-t diagrams (e.g. edge detection and Hough transform).
- Correlation based feature selection: Review and application of feature extraction and feature selection techniques to extract flow features with favorable temporal correlation properties.
- Familiarize with tunnel fire backlayering scenario and background oriented Schlieren velocimetry. - Cross-correlation analysis using synthetic data for velocity estimation. - Documentation and presentation of the results.
Depending on the student’s background and the scope of the thesis, the project may further include:
- Image processing: Velocity extraction based on coherent streak detection in x-t diagrams (e.g. edge detection and Hough transform). - Correlation based feature selection: Review and application of feature extraction and feature selection techniques to extract flow features with favorable temporal correlation properties.
Interested candidates are invited to send an email with a recent transcript of record to buehlmann(ad)ifd.mavt.ethz.ch.
Interested candidates are invited to send an email with a recent transcript of record to buehlmann(ad)ifd.mavt.ethz.ch.