123954 20241125101128.0 doi 10.1016/j.advengsoft.2022.103340 sideral 131402 ART-2023-131402 eng Echeverribar, Isabel (orcid)0000-0001-8221-523X A GPU-based 2D viscous flow model with variable density and heat exchange 2023 Access copy available to the general public Unrestricted Numerical simulation of unsteady viscous flow over variable topography under the influence of temperature changes is a challenge. In order to apply the model to large domains with complex topography, it becomes mandatory to reduce the model complexity from 3D to 2D by depth averaging the equations and to apply massive parallelization techniques for an efficient simulation. The depth averaged mass continuity, momentum and internal energy equations, combined with suitable friction laws, can be used for this type of flows. Variations in temperature can be accounted for from internal energy changes with density changing accordingly. The resulting system is solved using a finite volume technique on unstructured triangular grids well suited for problems over variable topography. A generic model applicable to a wide range of viscous fluids and validated with synthetic cases is presented to evaluate the performance of the numerical solution in presence of both external thermal forcing functions and discontinuous initial conditions. Finally, the model is applied to a realistic application and calibration to a particular case of lava flow taking into consideration variable density, viscosity and yield stress with temperature . A heat transfer with the air is included to consider the lava cooling. The numerical results of the lava front advance are compared to the Copernicus satellite observations at different dates. The efficiency of the GPU implementation allows to simulate a 11 day event in less than 1.7 h of simulation. info:eu-repo/grantAgreement/ES/DGA-FEDER/T32-20R 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/ 4.0 2023 COMPUTER SCIENCE, SOFTWARE ENGINEERING 21 / 132 = 0.159 2023 Q1 T1 ENGINEERING, MULTIDISCIPLINARY 28 / 181 = 0.155 2023 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 46 / 170 = 0.271 2023 Q2 T1 0.826 2023 Engineering (miscellaneous) 2023 Q1 Software 2023 Q2 7.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Martínez-Aranda, Sergio Universidad de Zaragoza (orcid)0000-0003-4673-9073 Fernández-Pato, Javier Universidad de Zaragoza (orcid)0000-0002-3635-6223 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 175 (2023), 103340 [16 pp.] Adv. eng. softw. ADVANCES IN ENGINEERING SOFTWARE 0965-9978 4396251 http://zaguan.unizar.es/record/123954/files/texto_completo.pdf Versión publicada 2648412 http://zaguan.unizar.es/record/123954/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:123954 articulos driver 2024-11-22-11:58:05 ARTICLE