| Title: |
Viscous Fingering: A Topological Visual Analytic Approach |
| Authors: |
Lukasczyk, Jonas; Aldrich, Garrett; Steptoe, Michael; Favelier, Guillaume; Gueunet, Charles; Tierny, Julien; Maciejewski, Ross; Hamann, Bernd; Leitte, Heike |
| Contributors: |
Technical University of Kaiserslautern (TU Kaiserslautern); Department of Computer Science Univ California Davis (CS - UC Davis); University of California Davis (UC Davis); University of California (UC)-University of California (UC); Los Alamos National Laboratory (LANL); Performance et Qualité des Algorithmes Numériques (PEQUAN); Laboratoire d'Informatique de Paris 6 (LIP6); Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS); School of Computing, Informatics and Decision Systems Engineering; Arizona State University Tempe (ASU); Institute of Data Analysis and Visualization (IDAV) |
| Source: |
Physical Modeling for Virtual Manufacturing Systems and Processes ; Conference on Physical Modeling for Virtual Manufacturing Systems and Processes ; https://hal.science/hal-01547523 ; Conference on Physical Modeling for Virtual Manufacturing Systems and Processes, Jun 2017, Speyer, Germany ; http://www.ttp.net/978-3-0357-1186-8/toc.html |
| Publisher Information: |
CCSD |
| Publication Year: |
2017 |
| Subject Terms: |
tracking graph; viscous fingering; ensemble data; feature tracking; data segmentation; Topological data analysis; [INFO]Computer Science [cs] |
| Subject Geographic: |
Speyer; Germany |
| Description: |
International audience ; We present a methodology to analyze and visualize an ensemble of finite pointset method (FPM) simulations that model the viscous fingering process of salt solutions inside water. In course of the simulations the solutions form structures with increased salt concentration called viscous fingers. These structures are of primary interest to domain scientists as it is not clear when and where viscous fingers appear and how they evolve. To explore the aleatoric uncertainty embedded in the simulations we analyze an ensemble of simulation runs which differ due to stochastic effects. To detect and track the viscous fingers we derive a voxel volume for each simulation where fingers are identified as subvolumes that satisfy geometrical and topological constraints. Properties and the evolution of fingers are illustrated through tracking graphs that visualize when fingers form, dissolve, merge, and split. We provide multiple linked views to compare, browse, and analyze the ensemble in real-time. Fig. 1: Detail view of our visualization tool consisting of the 3D rendering of viscous fingers (left), and the tracking graph showing their evolution (right). |
| Document Type: |
conference object |
| Language: |
English |
| ISBN: |
978-3-0357-1186-8; 3-0357-1186-0 |
| Availability: |
https://hal.science/hal-01547523; https://hal.science/hal-01547523v1/document; https://hal.science/hal-01547523v1/file/IRTG2017.pdf |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.65EDA181 |
| Database: |
BASE |