Abstract

For safe design of culverts, the estimation of scour depth downstream of the culvert outlet is one of the most remarkable considerations. Poor design of culverts inevitably leads to destruction and increases expenditures on management and rehabilitation. The objective of this study is to investigate the performance of numerical models in predicting scour depth and its location downstream of box culverts in unsteady flow conditions. Culverts with unblocked and partially blocked outlets were used, and the predictions of two turbulence methods, namely renormalization group (RNG) and k-ε, were compared. Comprehensive experimental data of box culverts from the literature were used and the numerical models were performed in commercially available software. The downstream profile of scour development, maximum scour depth, and its location were obtained and compared with observed data. It was found that the numerical model was in good agreement with the experimental data. In both turbulence models, the scour depth increased with increase of discharge in the raising limb of the hydrograph, whereas for lower discharges in the falling limb of the hydrograph, the scour depth decreased.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to thank the anonymous reviewers for critically reading the manuscript and suggesting substantial improvements.

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 12Issue 4November 2021

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Received: Apr 29, 2020
Accepted: Apr 19, 2021
Published online: Jul 8, 2021
Published in print: Nov 1, 2021
Discussion open until: Dec 8, 2021

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Assistant Lecturer, Dept. of Civil Engineering, Faculty of Engineering, Tishk International Univ., P.O. Box 46, Sulaimani 46001, Iraq. ORCID: https://orcid.org/0000-0002-8225-1721. Email: [email protected]
Associate Professor, Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO, P.O. Box 714, Sanandaj 6617715175, Iran (corresponding author). ORCID: https://orcid.org/0000-0001-9358-185X. Email: [email protected]; [email protected]
Jamil Bahrami [email protected]
Assistant Professor, Dept. of Civil Engineering, Univ. of Kurdistan, P.O. Box 416, Sanandaj 6617715175, Iran. Email: [email protected]
Mohammad Reza Kavianpour [email protected]
Professor, Dept. of Civil Engineering, K.N. Toosi Univ. of Technology, Tehran 1969764499, Iran. Email: [email protected]
Assistant Lecturer, Dept. of Civil Engineering, Faculty of Engineering, Koya Univ., P.O. Box 46, Koya, Kurdistan Region F.R. 46017, Iraq. ORCID: https://orcid.org/0000-0002-9110-1901. Email: [email protected]

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