130972 20240202151703.0 doi 10.2166/hydro.2020.027 sideral 120634 ART-2020-120634 eng Martínez-Aranda, S. Universidad de Zaragoza (orcid)0000-0003-4673-9073 A robust two-dimensional model for highly sediment-laden unsteady flows of variable density over movable beds 2020 In this work, a novel 2D depth-integrated numerical model for highly sediment-laden shallow flows over non-uniform erodible beds is presented, including variable density and exchange between the bed layer and the water-sediment mixture flow. The system of equations is formed by the 2D conservation equations for the mass and momentum of the mixture, the mass conservation equation for the different sediment size-classes transported in the flow and the bed evolution equation. The depth-averaged mixture density varies according to the volumetric concentration of the different sediment size-classes that can be incorporated from the bed to the flow and transported as suspended materials. The rheological behaviour of the flow is directly controlled by the properties of the mixture. A new x-split augmented Roe (xA-Roe) scheme is derived to solve the coupled flow and suspended solid-phase equations in both structured and unstructured meshes. The numerical scheme is defined to properly include density variations and momentum source terms, retaining a well-balanced flux formulation in steady states and the correct treatment of the wet-dry fronts. The numerical scheme is assessed with steady and transient cases involving highly sediment-laden flows, demonstrating its accuracy, stability and robustness in the presence of complex bed topography, wetting-drying fronts and rapid morphological changes. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/MICINN-FEDER/PGC2018-094341-B-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.376 2020 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 68 / 111 = 0.613 2020 Q3 T2 WATER RESOURCES 59 / 97 = 0.608 2020 Q3 T2 ENVIRONMENTAL SCIENCES 182 / 273 = 0.667 2020 Q3 T3 ENGINEERING, CIVIL 72 / 136 = 0.529 2020 Q3 T2 0.654 2020 Atmospheric Science 2020 Q2 Water Science and Technology 2020 Q2 Geotechnical Engineering and Engineering Geology 2020 Q2 Civil and Structural Engineering 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Murillo, J. Universidad de Zaragoza (orcid)0000-0002-1386-5543 García-Navarro, P. Universidad de Zaragoza (orcid)0000-0001-8674-1042 5001 600 Universidad de Zaragoza Dpto. Ciencia Tecnol.Mater.Fl. Área Mecánica de Fluidos 22, 5 (2020), 1138-1160 J. hydroinform. JOURNAL OF HYDROINFORMATICS 1464-7141 4332477 http://zaguan.unizar.es/record/130972/files/texto_completo.pdf Postprint 2346811 http://zaguan.unizar.es/record/130972/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130972 articulos driver 2024-02-02-14:50:20 ARTICLE