University of Oulu

Maryami, E., Mohammadpour, R., Beirami, M. K., & Haghighi, A. T. (2021). Prediction of hydraulic jump characteristics in a closed conduit using numerical and analytical methods. In Flow Measurement and Instrumentation (Vol. 82, p. 102071). Elsevier BV.

Prediction of hydraulic jump characteristics in a closed conduit using numerical and analytical methods

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Author: Maryami, Ehsan1; Mohammadpour, Reza1; Beirami, Mohammad Karim1,2;
Organizations: 1Department of Civil Engineering, Islamic Azad University, Estahban Branch, Fars, Iran
2Isfahan Univ. of Technology (IUT), Isfahan, Iran
3Water, Energy and Environmental Engineering Research Unit, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link:
Language: English
Published: Elsevier, 2021
Publish Date: 2023-10-27


The hydraulic jump is an economical alternative to dissipate energy in the conduit and to reduce erosion at the culvert outlet. In the literature, very limited studies have been reported on the performance of hydraulic jump in a closed conduit. The innovation of this research is to employ a numerical method for the estimation of the hydraulic jump characteristics in a closed conduit with different positive slopes (S₀). The analytical method was used to develop several equations for hydraulic jump and the provided results were compared with the numerical method. The results indicate that the numerical method predicts the flow depth ratio after conduit with higher accuracy (error less than 5%) in comparison to the analytical method (error less than 10%). Furthermore, in the slope of 0.00, the energy loss increases by 16% with increasing the Froude number from 4.617 to 5.562 while this value is 23% and 22% for slopes of 0.01 and 0.02, respectively. Finally, several equations were developed for the prediction of hydraulic jump characteristics in terms of Fr₁, S₀, and conduit depth (D).

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Series: Flow measurement and instrumentation
ISSN: 0955-5986
ISSN-E: 1873-6998
ISSN-L: 0955-5986
Volume: 82
Article number: 102071
DOI: 10.1016/j.flowmeasinst.2021.102071
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
Copyright information: © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http:/