Análisis de la superficie libre de un resalto hidráulico usando una cámara de profundidad
Enviado: 14-01-2025
|Aceptado: 30-04-2025
|Publicado: 30-04-2025
Derechos de autor 2025 Ingeniería del Agua
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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Palabras clave:
cámara de profundidad, sonda de conductividad, resalto hidráulico, flujo agua-aire
Agencias de apoyo:
Parte del proyecto de I D i PID2022-142037OB-I00, financiado por MICIU/ AEI/10.13039/501100011033/ y “FEDER Una manera de hacer Europa”.
Resumen:
El presente trabajo analiza la superficie libre de un resalto hidráulico con número de Froude de 7.2. La turbulencia del flujo exige instrumentación con frecuencias de muestreo altas para capturar las rápidas fluctuaciones de la superficie libre, por lo que se emplea una cámara de profundidad Intel® RealSense™ D435if que permite captar el entorno en tres dimensiones con una buena resolución espacial y temporal de forma no intrusiva. En este artículo se analiza la capacidad de este equipo para rastrear la superficie libre aireada considerando diferentes frecuencias de muestreo. Los resultados de la superficie libre del resalto obtenidos con la cámara de profundidad se compararon con los valores obtenidos con una sonda de conductividad de 0.4mm de grosor del electrodo, construida en el Laboratorio de Hidráulica de la Universidad Politécnica de Cartagena. Los análisis indican que la cámara no intrusiva detecta la superficie libre media asociada a fracciones de aire entre el 50% y el 90%.
Citas:
Bung, D.B., Crookston, B.M., Valero, D. 2021. Turbulent free-surface monitoring with an RGB-D sensor: the hydraulic jump case. Journal of Hydraulic Research, 59(5), 779–790. https://doi.org/10.1080/00221686.2020.1844810
Bruce, P., Bruce, A. 2020. Practical statistics for data scientists: 50+ essential concepts using R and Python (2nd ed.). O’Reilly Media.
Carfagni, M., Furferi, R., Governi, L., Santarelli, C., Servi, M., Uccheddu, F., Volpe, Y. 2019. Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera. Sensors, 19(3), 489. https://doi.org/10.3390/s19030489
Chanson, H. 2002. Air-Water Flow Measurements with Intrusive Phase-Detection Probes. Can we Improve their Interpretation? Journal of Hydraulic Engineering, 128(3), 252–255. https://doi.org/10.1061/(ASCE)0733-9429(2002)128:3(252)
Chanson, H. 2015. Energy dissipation in hydraulic structures. CRC Press. https://doi.org/10.1201/b18441
Chachereau, Y., Chanson, H. 2011. Free-surface fluctuations and turbulence in hydraulic jumps. Experimental Thermal and Fluid Science, 35(6), 896–909. https://doi.org/10.1016/j.expthermflusci.2011.01.009
Felder, S. 2013. Air-Water Flow Properties on Stepped Spillways for Embankment Dams: Aeration, Energy Dissipation and Turbulence on Uniform, Non-Uniform and Pooled Stepped Chutes. PhD Thesis, University of Queensland, Australia.
Felder, S., Montano, L., Cui, H., Peirson, W., Kramer, M. 2021. Effect of inflow conditions on the free-surface properties of hydraulic jumps. Journal of Hydraulic Research, 59(6), 1004–1017. https://doi.org/10.1080/00221686.2020.1866692
Giancola, S., Valenti, M., Sala, R. 2018. A survey on 3D cameras: Metrological comparison of time-of-flight, structured-light and active stereoscopy technologies. Springer. https://doi.org/10.1007/978-3-319-91761-0
Goring, D. G., Nikora, V. I. 2002. Despiking acoustic Doppler velocimeter data. Journal of Hydraulic Engineering, 128(1), 117-126. https://doi.org/10.1061/(ASCE)0733-9429(2002)128:1(117)
Grunnet-Jepsen, A., Sweetser, J., Khuong, T., Dorodnicov, S., Tong, D., Mulla, O., Eliyahu, H., Raikhel, E. 2022. Intel® RealSense™ Self-Calibration for D400 Series Depth Cameras. Intel Corporation, Rev 2.7.
Grunnet-Jepsen, A., Sweetser, J.N., Woodfill, J. 2018. Best-known-methods for tuning intel® realsense™ d400 depth cameras for best performance. Intel Corporation: Satan Clara, CA, USA, 1.
Intel. 2021. D435 camera not recognizing acrylic and polycarbonate walls. Intel Corporation. Disponible en https://www.intel.com/content/www/us/en/support/articles/000030012/emerging-technologies/intel-realsense-technology.html
Intel Corporation. 2023. Intel® RealSense™ SDK 2.0 (pyrealsense2) [Computer software]. Intel. https://github.com/IntelRealSense/librealsense
Intel® RealSense™. 2024. Product Family D400 Series Datasheet. Revision 019. https://dev.intelrealsense.com/docs/intel-realsensed400-series-product-family-datasheet
Intel® RealSense™ SDK Wiki. 2021. D400 Series Visual Presets. GitHub. Retrieved from https://github.com/IntelRealSense/librealsense/wiki/D400-Series-Visual-Presets
Kucukali, S., Chanson, H. 2008. Turbulence measurements in the bubbly flow region of hydraulic jumps. Experimental Thermal and Fluid Science, 33, 41-53. https://doi.org/10.1016/j.expthermflusci.2008.06.012
Li, R., Splinter, K.D., Felder, S. 2020. Free-surface mapping of air-water flows in a stilling basin. Proceedings of the 8th IAHR International Symposium on Hydraulic Structures ISHS2020, Santiago, Chile, 12-15 May 2020. Brisbane, QLD, Australia: The University of Queensland. https://doi.org/10.14264/uql.2020.613
Li, R., Montano, L., Splinter, K.D., Felder, S. 2019. Opportunities of Lidar Measurements in Air-Water Flows. Proceedings of the 38th IAHR World Congress - "Water: Connecting the World". https://doi.org/10.3850/38WC092019-0726
Macián-Pérez, J.F., Vallés-Morán, F.J., De-Rossi-Estrada, M., Sánchez-Gómez, S., García-Bartual, R. (2024). Estudio de la superficie libre de resaltos hidráulicos en cuencos amortiguadores empleando técnicas LIDAR. Ingeniería del Agua, 28(2), 93–105. https://doi.org/10.4995/ia.2024.20621
Matos, J., Frizell, K. H., André, S., Frizell, K. W. 2002. On the performance of velocity measurement techniques in air-water flows. In Hydraulic Measurements and Experimental Methods 2002 (1-11). https://doi.org/10.1061/40655(2002)58
Montano, L., Felder, S. 2020. LIDAR Observations of Free-Surface Time and Length Scales in Hydraulic Jumps. Journal of Hydraulic Engineering, 146, 04020007. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001706
Montano, L., Li, R., Felder, S. 2018. Continuous measurements of time-varying free-surface profiles in aerated hydraulic jumps with a LIDAR. Experimental Thermal and Fluid Science, 93, 379-397. https://doi.org/10.1016/j.expthermflusci.2018.01.016
Murzyn, F., Chanson, H. 2007. Free Surface, Bubbly flow and Turbulence Measurements in Hydraulic Jumps. Report CH63/07, University of Queensland, Australia.
Murzyn, F., Chanson, H. 2009. Free-surface fluctuations in hydraulic jumps: Experimental observations. Experimental Thermal and Fluid Science, 33, 1055-1064. https://doi.org/10.1016/j.expthermflusci.2009.06.003
Pereira, N.H.C., Borges, J.E., Matos, J., Frizell, K. 2007. Developing a Combined Air Concentration and Velocity Probe for Measuring in Air-Water Jets. Proceedings of the Hydraulic Measurements and Experimental Methods 2007 Conference, ASCE, Lake Placid, USA (CD-ROM).
Pleterski, Ž., Hočevar, M., Bizjan, B., Kolbl Repinc, S., Rak, G. 2023. Measurements of Complex Free Water Surface Topography Using a Photogrammetric Method. Remote sensing, 15, 4774-4774. https://doi.org/10.3390/rs15194774
Python Software Foundation. 2023. Python (Version 3.x) [Computer software]. https://www.python.org
Rak, G., Hočevar, M., Kolbl Repinc, S., Novak, L., Bizjan, B. 2023. A Review on Methods for Measurement of Free Water Surface. Sensors, 23(4), 1842-1842. https://doi.org/10.3390/s23041842
Rak, G., Hočevar, M., Steinman, F. 2019. Non-intrusive measurements of free-water-surface profiles and fluctuations of turbulent, two-phase flow using 2-D laser scanner. Measurement Science and Technology, 31(6):064001. https://doi.org/10.1088/1361-6501/ab727f
Ros-Bernal, A., Carrillo, J. M., García, J. T., Castillo, L. G. 2023. Evaluación del comportamiento de una sonda aire-agua en un banco de calibración de equipos de medición de flujos bifásicos. Ingeniería del Agua, 27(4), 269–281. https://doi.org/10.4995/ia.2023.20038
Sonoda, T., Sweetser, J.N., Khuong, T., Brook, S., Grunnet-Jepsen, A. 2022. High-speed capture mode of Intel® RealSense™ Depth Camera D435. Intel Corporation, Rev 1.2.
Valero, D., Felder, S., Kramer, M., Wang, H., Carrillo, J. M., Pfister, M., Bung, D. B. 2024. Air–water flows. Journal of Hydraulic Research, 62(4), 319–339. https://doi.org/10.1080/00221686.2024.2379482
Wang, H. 2014. Turbulence and air entrainment in hydraulic jumps. PhD Thesis, School of Civil Engineering, The University of Queensland. https://doi.org/10.14264/uql.2014.542
