2022
DOI: 10.1002/ctpp.202100185
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Spatial adaptivity in SOLEDGE3X‐HDG for edge plasma simulations in versatile magnetic and reactor geometries

Abstract: With the ultimate goal to predict plasmas heat and particle fluxes in ITER operation, more efforts are required to deal with realistic magnetic configurations and tokamak geometries. In an attempt to achieve this goal, we propose an adaptive mesh refinement method added to a fluid solver based on a high‐order hybrid discontinuous Galerkin (HDG) method. Based on unstructured meshes, this magnetic equilibrium free numerical scheme has shown promising and encouraging features to solve 2D/3D transport reduced Brag… Show more

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Cited by 2 publications
(2 citation statements)
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“…Understanding the stencil buffers and pivotal steps that map window properties into the model is crucial in this 3D modeling experiment which compiles both Qt source code and OCCT under ARM with OpenGL Stencil Buffers [19]. Additionally, as shown in Figure 11b, it involves converting the window's Aspect_Window properties into QGLWidget data while accessing components of OCCT and Ubuntu or xFce4 X11's attributes through a unique identifier, because the underlying window's original attributes interact with the Qt through the X11 manager function winId [20].…”
Section: Robot Model Renderingmentioning
confidence: 99%
“…Understanding the stencil buffers and pivotal steps that map window properties into the model is crucial in this 3D modeling experiment which compiles both Qt source code and OCCT under ARM with OpenGL Stencil Buffers [19]. Additionally, as shown in Figure 11b, it involves converting the window's Aspect_Window properties into QGLWidget data while accessing components of OCCT and Ubuntu or xFce4 X11's attributes through a unique identifier, because the underlying window's original attributes interact with the Qt through the X11 manager function winId [20].…”
Section: Robot Model Renderingmentioning
confidence: 99%
“…The h-refinement method is based here on an oscillation indicator to target flow regions with steep gradients or discontinuities inside the domain of computation. The element size is then optimized by imposing iterative, local mesh refinements in these flow regions while keeping a coarse mesh elsewhere [14].…”
Section: Spatial Adaptivitymentioning
confidence: 99%