127953 20241125101146.0 doi 10.3390/w15173094 sideral 135059 ART-2023-135059 eng Martínez-Aranda, Sergio Universidad de Zaragoza (orcid)0000-0003-4673-9073 Non-Equilibrium Bedload Transport Model Applied to Erosive Overtopping Dambreach 2023 Access copy available to the general public Unrestricted Bedload sediment transport is an ubiquitous process in natural surface water flows (rivers, dams, coast, etc), but it also plays a key role in catastrophic events such as dyke erosion or dam breach collapse. The bedload transport mechanism can be under equilibrium state, where solid rate and flow carry capacity are balanced, or under non-equilibrium (non-capacity) conditions. Extremely transient surface flows, such as dam/dyke erosive collapses, are systems which always change in space and time, hence absolute equilibrium states in the coupled fluid/solid transport rarely exist. Intuitively, assuming non-equilibrium conditions in transient flows should allow to estimate correctly the bedload transport rates and the bed level evolution. To get insight into this topic, a 2D Finite Volume model for bedload transport based on the non-capacity approach is proposed in this work. This non-equilibrium model considers that the actual bedload sediment discharge can be delayed, spatial and temporally, from the instantaneous solid carry capacity of the flow. Furthermore, the actual solid rate and the adaptation length/time is governed by the temporal evolution of the bedload transport layer and the vertical exchange solid flux. The model is tested for the simulation of overtopping dyke erosion and dambreach opening cases. Numerical results seems to support that considering non-equilibrium conditions for the bedload transport improves the general agreement between the computed results and measured data in both benchmarking cases. info:eu-repo/grantAgreement/ES/UZ/JIUZ-2022-IAR-03 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.0 2023 WATER RESOURCES 40 / 128 = 0.312 2023 Q2 T1 ENVIRONMENTAL SCIENCES 169 / 358 = 0.472 2023 Q2 T2 0.724 2023 Aquatic Science 2023 Q1 Water Science and Technology 2023 Q1 Geography, Planning and Development 2023 Q1 Biochemistry 2023 Q2 5.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Fernández-Pato, Javier García-Navarro, Pilar Universidad de Zaragoza (orcid)0000-0001-8674-1042 5001 600 Universidad de Zaragoza Dpto. Ciencia Tecnol.Mater.Fl. Área Mecánica de Fluidos 15, 17 (2023), 3094 Water (Basel) Water (Switzerland) 2073-4441 15550064 http://zaguan.unizar.es/record/127953/files/texto_completo.pdf Versión publicada 2706506 http://zaguan.unizar.es/record/127953/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127953 articulos driver 2024-11-22-12:04:38 ARTICLE