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Image processing technique for hydraulic application

https://doi.org/10.15514/ISPRAS-2017-29(6)-18

Abstract

In this paper, we present techniques Surface Flow Image Velocimetry (SFIV) that is a practical extension of Particle Image Velocimetry method (PIV). In particular, this technique is to evaluate the behavior on the surface flow for complex flow. SFIV allows to measure complex surface velocity fields for engineering applications. The objective of this work was the application of the SFIV technique to determine the velocity fields and their hydraulic efficiency of grated inlet, making a comparison between the programs able to correlate images like Digiflow or PIVlab program.

About the Authors

J. Tellez-Alvarez
Institute FLUMEN, Department of Civil and Environmental Engineering
Spain


M. Gomez
Institute FLUMEN, Department of Civil and Environmental Engineering
Spain


B. Russo
Group of Hydraulics and Environmental Engineering
Spain


References

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4. Dalziel, S.D. and Redondo J.M. (2007) New visualization and self-similar analysis in experimental turbulence studies. Models, Experiments and Computation in Turbulence. CIMNE, Barcelona, Spain.

5. Gómez M., 2008. Curso de Hidrología Urbana. Segunda Ed. Universitat Politècnica de Cataluña. Barcelona, España.

6. Tellez J., Gómez M., Russo M., Redondo J.M. 2016a. “Metodología para la obtención del campo de velocidad en la proximidad de las rejas de alcantarillado”. XXVII Congreso latinoamericano de hidráulica. 28 al. 30 de septiembre, 2016. Lima, Perú.

7. Tellez J., Gómez M., Russo M., Redondo J.M. 2016b. “Surface Flow Image Velocimetry (SFIV) for Hydraulics Applications” In 18th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics. Julio 4-7. Lisboa, Portugal.

8. Tellez J., Russo B., Gómez M. 2015. “Técnica para la obtención del campo de velocidad del flujo superficial en proximidad de rejas de alcantarillado”. IV Jornadas de Ingeniería del Agua. Octubre 21-22. Córdoba, España.

9. Thielicke W., Stamhuis E. J. (2014). PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB (version: 1.41).

10. Thielicke W. & Stamhuis E.J. (2014b). PIVlab - Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. Journal of Open Research Software. 2(1), p.e30. DOI: http://doi.org/10.5334/jors.bl


Review

For citations:


Tellez-Alvarez J., Gomez M., Russo B. Image processing technique for hydraulic application. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2017;29(6):289-298. https://doi.org/10.15514/ISPRAS-2017-29(6)-18



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ISSN 2079-8156 (Print)
ISSN 2220-6426 (Online)