Variational RANS modelling of dike erosion due to overtopping flow using a bed-load decoupled approach
Variational RANS modelling of dike erosion due to overtopping flow using a bed-load decoupled approach
Earthen dike failure from overtopping poses a high risk to infrastructure and environment, leading to critical operational losses, especially under climate change-induced water scarcity scenarios. Accurate prediction of this phenomenon is essential for its prevention. Conventional depth-averaged models (e.g., Saint-Venant) are inadequate due to the strong flow vertical acceleration over the dike, which violates hydrostatic pressure assumptions. To address this, variational RANS modeling, which is proven effective for fixed-bed transient flow simulations, is applied here to simulating erosive flows for the first time. We use the Vertically-Averaged and Moments equations (VAM) model coupled with the Exner equation to compute bed-load transport and dike erosion. The model simplifies the process by decoupling bed deformation from VAM hydrodynamics and omitting geotechnical computations. This new approach was validated against an overtopping failure experiment, demonstrating good agreement with the experimental data.
Cantero-Chinchilla, Francisco Nicolas
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Castro-Orgaz, Oscar
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De Almeida, Gustavo
f6edffc1-7bb3-443f-8829-e471b6514a7e
Cantero-Chinchilla, Francisco Nicolas
77948026-41fa-4491-86c5-6374772a419b
Castro-Orgaz, Oscar
e43bb7a6-fb13-431b-89fa-43131db24539
De Almeida, Gustavo
f6edffc1-7bb3-443f-8829-e471b6514a7e
Cantero-Chinchilla, Francisco Nicolas, Castro-Orgaz, Oscar and De Almeida, Gustavo
(2026)
Variational RANS modelling of dike erosion due to overtopping flow using a bed-load decoupled approach.
International Conference on Hydroinformatics 2026: Innovating Water Solutions for Climate Changes, , Zaragoza, Spain.
22 - 26 Jun 2026.
8 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Earthen dike failure from overtopping poses a high risk to infrastructure and environment, leading to critical operational losses, especially under climate change-induced water scarcity scenarios. Accurate prediction of this phenomenon is essential for its prevention. Conventional depth-averaged models (e.g., Saint-Venant) are inadequate due to the strong flow vertical acceleration over the dike, which violates hydrostatic pressure assumptions. To address this, variational RANS modeling, which is proven effective for fixed-bed transient flow simulations, is applied here to simulating erosive flows for the first time. We use the Vertically-Averaged and Moments equations (VAM) model coupled with the Exner equation to compute bed-load transport and dike erosion. The model simplifies the process by decoupling bed deformation from VAM hydrodynamics and omitting geotechnical computations. This new approach was validated against an overtopping failure experiment, demonstrating good agreement with the experimental data.
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Accepted/In Press date: 27 March 2026
Venue - Dates:
International Conference on Hydroinformatics 2026: Innovating Water Solutions for Climate Changes, , Zaragoza, Spain, 2026-06-22 - 2026-06-26
Identifiers
Local EPrints ID: 511166
URI: http://eprints.soton.ac.uk/id/eprint/511166
PURE UUID: bf9f4e7c-d929-418c-9373-d2e779ab60f7
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Date deposited: 05 May 2026 17:24
Last modified: 06 May 2026 01:46
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Contributors
Author:
Francisco Nicolas Cantero-Chinchilla
Author:
Oscar Castro-Orgaz
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