Benchmarking computational fluid dynamics models of lava flow simulation for hazard assessment, forecasting, and risk management
نویسندگان
چکیده
منابع مشابه
Multiphase flow and tromp curve simulation of dense medium cyclones using Computational Fluid Dynamics
Dense Medium Cyclone is a high capacity device that is widely used in coal preparation. It is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in DMCs complex. In this article the flow pattern simulation of DMC is performed with computational fluid dynamics and Fluent...
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About 80 percent of Iran is arid and semi-arid and about 35 percent of this area is susceptible to desertification hazard. Therefore desertification assessment and identification of the most important criteria for the assessment of risk and a basis for development of management plans is essential. This research was conducted in the semi-arid region of Agh-Band in the Golestan province, Iran wit...
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One of the main concerns of researchers is the separation of suspended particles in a fluid. Accordingly, the current study numerically investigated the effects of a conical section on the flow pattern of a Stairmand cyclone by simulating single-cone and dual-cone cyclones. A turbulence model was used to analyze incompressible gas-particle flow in the cyclone models, and the Eulerian–Lagrangian...
متن کاملmultiphase flow and tromp curve simulation of dense medium cyclones using computational fluid dynamics
dense medium cyclone is a high capacity device that is widely used in coal preparation. it is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in dmcs complex. in this article the flow pattern simulation of dmc is performed with computational fluid dynamics and fluent...
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ژورنال
عنوان ژورنال: Journal of Applied Volcanology
سال: 2017
ISSN: 2191-5040
DOI: 10.1186/s13617-017-0061-x