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Water 2019, 11(1), 36; https://doi.org/10.3390/w11010036

Numerical Simulation of Hydraulic Jumps. Part 1: Experimental Data for Modelling Performance Assessment

1
Hydraulic Engineering Section, Aachen University of Applied Sciences, Bayernallee 9, 52066 Aachen, Germany
2
Hydraulics in Environmental and Civil Engineering, University of Liège, Chemin des Chevreuils, 1, B52/3, Liège 4000, Belgium
3
Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy
*
Author to whom correspondence should be addressed.
Received: 31 October 2018 / Revised: 19 December 2018 / Accepted: 20 December 2018 / Published: 25 December 2018
(This article belongs to the Section Hydraulics)
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PDF [2078 KB, uploaded 25 December 2018]
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Abstract

Hydraulic jumps have been the object of extensive experimental investigation, providing the numerical community with a complete case study for models’ performance assessment. This study constitutes an exhaustive literature review on hydraulic jumps’ experimental datasets. Both mean and turbulent parameters characterising hydraulic jumps are comprehensively discussed, presenting at least a reference to one dataset. Three studies stand out over other datasets due to their completeness. Using them as reference for model validation may ensure homogeneous and comparable performance assessment for the upcoming numerical models. Experimental inaccuracies are also addressed, allowing the numerical modeller to understand the uncertainties of reduced physical models and its limitations. Part 2 presents the three-dimensional numerical investigations to date and their main achievements. View Full-Text
Keywords: two-phase flow; hydraulic jump; computational fluid dynamics; turbulent free surface flows; experimental methods two-phase flow; hydraulic jump; computational fluid dynamics; turbulent free surface flows; experimental methods
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Valero, D.; Viti, N.; Gualtieri, C. Numerical Simulation of Hydraulic Jumps. Part 1: Experimental Data for Modelling Performance Assessment. Water 2019, 11, 36.

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