JOURNAL ARTICLE
Three-dimensional numerical study of continuous gravity current in a curved channel.
Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2026, v. 37, n. 2. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Aghae, Nagin; Javan, Mitra; Khosravi, Milad 3 of 3
Abstract
Understanding the dynamics of gravity currents in curved channels is essential for evaluating and mitigating environmental impacts, designing efficient coastal protection measures and predicting sediment transport patterns. This study focuses on the three-dimensional numerical study of continuous gravity current in a curved channel using the Unsteady Reynolds Averaged Navier–Stokes (URANS) equations by the OpenFOAM code. The numerical model was validated against various experimental data from the literature. Multiple simulations were conducted to investigate the effect of the bend radius on the flow structure. The findings revealed that the advance velocity of gravity current exhibits a consistent slope when the radius of curvature is altered. The flow concentration is equal at the initial section of the channel on the inner and outer banks until the middle of the curve. Then the outer bank concentration increased due to the centrifugal force at the flow front. At the end of the bend, as the radius decreases, the front height rises and the flow tends to the outer bank. Maximum velocities in the flow body and head occur on the outer bank. Smaller radii produce higher longitudinal and transverse velocities, strengthening secondary flow. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2026/02, Vol. 37, Issue 2, p1
- Document Type:Article
- Subject Area:Mathematics
- Publication Date:2026
- ISSN:0129-1831
- DOI:10.1142/S0129183125500731
- Accession Number:189477034
- Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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