A Framework for Global Scope Interactive Visual Analysis of Large Unsteady 3D Flow Data - PowerPoint PPT Presentation

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A Framework for Global Scope Interactive Visual Analysis of Large Unsteady 3D Flow Data

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A Framework for Global Scope Interactive Visual Analysis of Large Unsteady 3D Flow Data – PowerPoint PPT presentation

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Title: A Framework for Global Scope Interactive Visual Analysis of Large Unsteady 3D Flow Data


1
A Framework for Global Scope Interactive Visual
Analysis of Large Unsteady 3D Flow Data
  • Martin Ilcík
  • prof. Helwig Hauser

Comenius University, Slovakia
2
Assignment
  • Large simulation data
  • Integral lines

3
Assignment
  • Large simulation data
  • Integral lines
  • Interactive Flow analysis
  • SimVis Doleisch 03

4
Assignment
  • Large simulation data
  • Integral lines
  • Interactive Flow analysis
  • SimVis Doleisch 03

5
Contribution
  • Semi-global flow analysis
  • interactive
  • layered approach
  • attributes structures

6
Contribution
  • Semi-global flow analysis
  • interactive
  • layered approach
  • attributes structures
  • Flow feature specification
  • uniform linked environment
  • flow driven analysis

7
Outline
  • Flow structures visualization
  • Layers for visual analysis
  • Framework pipeline
  • Example
  • Conclusions

8
Input data
  • Up to 2.107 cells
  • Multi-variate
  • Unstructured grids
  • Polyhedral cells
  • Time-dependent

Dataset by Arsenal Research GmbH
9
Integral lines
  • Vector field

10
Integral lines
  • Vector field Streamlines

11
Related work
  • Dense geometric flow visualization Park 05
  • Path line attributes Shi 07

12
SimVis system
  • Selective visualization
  • multiple coordinated views
  • focus and context
  • smooth brushing

13
SimVis system
  • Selective visualization
  • multiple coordinated views
  • focus and context
  • smooth brushing
  • Feature specification Doleisch 03
  • derived data calculations
  • feature definition language (FDL)?
  • degree of interest (DOI)?

14
Flow analysis layers
15
Direct Data Analysis Layer
  • Attribute values
  • No geometrical information
  • Brushing possible
  • interval selections
  • multivariate analysis

16
Local Flow Analysis Layer
  • Direct neighbors
  • Connectivity
  • Differentials
  • Eulerian point of view
  • particles at a position

17
Global Flow Analysis Layer
  • Lines
  • Integration
  • Long-term flow behavior
  • Lagrangian point of view
  • positions of a particle

18
Layers linking
  • Bidirectional relations
  • layer entities linked to cells
  • and vice versa
  • Degree of interest (DOI)?
  • 0..1 value for each entity
  • specified by brushing
  • layer DOIs combined at cells

19
Layers linking
20
Framework Pipeline
  • Preprocessing
  • data generation
  • offline

21
Framework Pipeline
  • Preprocessing
  • data generation
  • offline

Method Interpolation Segs/s
Euler Nearest 50000
RK2 Linear 20000
22
Framework Pipeline
  • Preprocessing
  • data generation
  • offline
  • Visual analysis
  • interactive
  • limited by SimVis

Method Interpolation Segs/s
Euler Nearest 50000
RK2 Linear 20000
23
Framework Pipeline
  • One line per cell
  • Seeds in cell centers
  • Regions of interest

24
Framework Pipeline
  • Line type
  • stream/path lines
  • Accurate vs. fast
  • interpolation
  • numerical schema
  • adaptive step size
  • Direction
  • Termination

25
Framework Pipeline
  • Attributes creation
  • segment measures
  • cell measures
  • Flow analysis layers
  • linking
  • mapping

26
Framework Pipeline
  • Feature specification
  • DOI, FDL
  • Doleisch 03
  • Coordinated multiple views
  • smooth brushing
  • Doleisch 02

27
Framework Pipeline
  • Color mapping
  • line attributes
  • original data
  • Orientation
  • lighting Mallo '05
  • halos
  • focus context
  • hybrid raycasting Muigg '07

28
Cooling jacket case study (1)
29
Cooling jacket case study (2)
30
Cooling jacket case study (3)
31
Summary Conclusions
  • Global flow analysis
  • precomputation necessary
  • layered approach
  • attributes structures
  • interactivity

32
Summary Conclusions
  • Global flow analysis
  • precomputation necessary
  • layered approach
  • attributes structures
  • interactivity
  • Flow feature specification
  • uniform linked environment
  • flow driven analysis
  • global features stronger than local

33
Future work
  • Robust global feature specification
  • many lines
  • smart processing

34
Future work
  • Robust global feature specification
  • many lines
  • smart processing
  • GPU numerical integration
  • limited memory
  • unstructured grids

35
Thank you for your attention!
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