Visibility, Topology, and Inertia: New Methods in Flow Visualization

Günther, Tobias; Foley, Jim

doi:10.1109/mcg.2019.2959568

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Flow visualization, in essence, accomplishes something extraordinary: it renders visible complex processes that would otherwise remain hidden from the naked eye [40]. ParaView version 5.11.0 played a pivotal role in our CFD simulations as a versatile tool for post-processing and visualizing the results generated by OpenFOAM.…”

Section: Flow Visulazationmentioning

confidence: 99%

Numerical Simulation of Confluence Flow in a Degraded Bed

Behzad,

Mohammadian,

Rennie

et al. 2023

Water

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The fluid dynamics of channel confluences are highly complex due to flow separation and secondary currents. Although numerous studies in the past few decades have focused on the numerical simulation of confluence flow, deformed beds were rarely used. This study attempts to address this issue through numerical simulation of the flow behavior in an open-channel confluence flume with an equilibrium degraded bed in OpenFOAM (version 6.0) to compare the results with a flatbed. In the present study, different turbulence models, including Reynolds-Averaged Navier–Stokes (RANS), large-eddy simulation (LES), and detached eddy simulation (DES) models were performed using rigid-lid and volume-of-fluid (VoF) methods. The accuracy of the models was statistically analyzed by comparing them with observation data. The results demonstrated that the LES model had the best performance, with a minimum average normalized root-mean-square error (NRMSE) of 3% under the VoF assumption. The investigation also further illuminated the intricate interplay of vortical structures within the confluence zone. Notably, the number and behavior of vortices were found to be influenced by channel geometry and size, as well as interactions between separated shear layers. Circulation within the separation zone near the inner bank differed in rotation between the degraded and flatbed cases.

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Section: Flow Visulazationmentioning

confidence: 99%

Numerical Simulation of Confluence Flow in a Degraded Bed

Behzad,

Mohammadian,

Rennie

et al. 2023

Water

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“…We can also relate our work to flow visualization that typically needs to display a large number of curves. Such methods exploit transparency, or the selection of relevant lines [Gün20]. While some flow visualization approaches [PWK20] are adapted to visualize the dMRI data, they do not fit the brain tractograms constraints.…”

Section: Computer Graphicsmentioning

confidence: 99%

Fiblets for Real‐Time Rendering of Massive Brain Tractograms

Schertzer

Mercier

Rousseau

et al. 2022

Computer Graphics Forum

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Real-time rendering (40ms/frame) of a 64GB brain tractogram containing 3 million of individual fibers (5.37 billion segments) compressed down to 7GB. From left to right, the figure shows the rendering using different shadings (solid color, fiber orientation, per-fiber color), the ability for our pipeline to perform interactions with occlusion meshes (here with a cube mesh), and the per-fiber interaction capabilities with a selection (combined here with an occlusion mesh).

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“…For example, in 2D space, it is relatively easy to determine the topological relation between two features, whereas in 3D space the features are displayed on the screen by projection, and when the viewing angle changes there may be a situation where the two features overlap on the screen, and it becomes complicated to determine the topological relations between the two features. In the study of 3D ENC to realise spatial data analysis functions, many specific issues are involved, such as 3D data models [6][7][8][9], 3D spatial relations [10,11], 3D topology [12,13], 3D visualization [14,15] and so on. The focus of this paper is to study the 3D spatial relation model suitable for 3D ENC, to improve the ability of spatial topology judgement, and to solve the application of 3D spatial relations in 3D ENC.…”

Section: Introductionmentioning

confidence: 99%

A Spatial Relation Model of Three-Dimensional Electronic Navigation Charts Based on Point-Set Topology Theory

Zhang

Gao

et al. 2023

IJGI

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Spatial relation models are the basis for realising three-dimensional spatial analysis. More researchers are now focusing on models that combine topological relations with distance or directional relations; however, a model that unifies all three relations has not yet been developed. In particular, it is more effective to use different spatial relations between features with different spatial characteristics in three-dimensional electronic navigation charts (3D ENC). Therefore, this paper proposes a 3D ENC feature spatial relation model (3DSRM) based on point-set topology theory, which combines 3D topological relations, distance relations and directional relations, and uses a unified model framework to describe 64 topological relations of 3D ENC features from both horizontal and vertical directions. Through the comparison and derivation of feature topological relations, it is demonstrated that the model can distinguish 3D spatial topological relations more comprehensively, realise the mutual derivation between spatial relations and spatial features, and improve the robustness of spatial relations judgement. The model can be used to judge the topological relations between features, realise 3D topological relation checking and topological creation of complex features, and improve the accuracy and interactivity of 3D ENC.

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Visibility, Topology, and Inertia: New Methods in Flow Visualization

Cited by 3 publications

References 16 publications

Numerical Simulation of Confluence Flow in a Degraded Bed

Numerical Simulation of Confluence Flow in a Degraded Bed

Fiblets for Real‐Time Rendering of Massive Brain Tractograms

A Spatial Relation Model of Three-Dimensional Electronic Navigation Charts Based on Point-Set Topology Theory

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