Macián‐Pérez, J. F., García‐Bartual, R., Huber, B., Bayon, A., & Vallés‐Morán, F. J. (2020). Analysis of the Flow in a Typified USBR II Stilling Basin through a Numerical and Physical Modeling Approach. Water, 12(1), 227. https://doi.org/10.3390/w12010227
E222-01 - Forschungsbereich Wasserbau und Umwelthydraulik
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Journal:
Water
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ISSN:
2073-4441
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Date (published):
14-Jan-2020
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Number of Pages:
20
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Peer reviewed:
Yes
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Keywords:
CFD; Water Science and Technology; Biochemistry; physical model; Geography, Planning and Development; hydraulic jump; Aquatic Science; USBR II stilling basin; numerical model; void fraction
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Abstract:
Adaptation of stilling basins to higher discharges than those considered for their design
implies deep knowledge of the flow developed in these structures. To this end, the hydraulic jump
occurring in a typified United States Bureau of Reclamation Type II (USBR II) stilling basin was
analyzed using a numerical and experimental modeling approach. A reduced‐scale physical model
to conduct an experimental campaign was built and a numerical computational fluid dynamics
(CFD) model was prepared to carry out the corresponding simulations. Both models were able to
successfully reproduce the case study in terms of hydraulic jump shape, velocity profiles, and
pressure distributions. The analysis revealed not only similarities to the flow in classical hydraulic
jumps but also the influence of the energy dissipation devices existing in the stilling basin, all in
good agreement with bibliographical information, despite some slight differences. Furthermore, the
void fraction distribution was analyzed, showing satisfactory performance of the physical model,
although the numerical approach presented some limitations to adequately represent the flow
aeration mechanisms, which are discussed herein. Overall, the presented modeling approach can
be considered as a useful tool to address the analysis of free surface flows occurring in stilling basins.
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Research Areas:
Climate Neutral, Renewable and Conventional Energy Supply Systems: 50% Computational Fluid Dynamics: 50%