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Shake Table Data Visualization. Amit Chourasia Visualization Scientist Visualization Services San Diego Supercomputer Center Presented at : NEES 5 th Annual meeting, Jun 20 th Snowbird UTAH. Data Source. Observed: Sensors (600 channels) Data Attributes Time varying
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Shake Table Data Visualization Amit Chourasia Visualization Scientist Visualization Services San Diego Supercomputer Center Presented at : NEES 5th Annual meeting, Jun 20th Snowbird UTAH
Data Source Observed: Sensors (600 channels) Data Attributes Time varying Multivariate Heterogeneous Original Footage
Study Goal • Integrate the observed data into visual domain • Asses the requirements and applicability to Structural Engineering • Demonstrate such a system to Structural Engineers • Disseminate information about the state-of-the-art research in structural engineering
Motivation: Understanding Data Large amount of numbers don’t make much sense to humans Visual information can encode large amount of numbers to gain insight High Bandwidth Low Bandwidth
Quest for Visual Representation Desirable Attributes Intuitive (trainable) Highlights feature of interest Color: Perceptual or Rainbow style? Compact Unambiguous
Dirty Data Issues Data comprised of 117 channels 5000+ timesteps @ 50 hz ~ 100 sec Data Formating and Translation
3D Model Movie: 3d Model
Deformation Model Movie: Deformation
Renderings Original video Combined Perspective npr
Camera Match Match Check Match
Lessons Learned • The visual system should include the capability of real-time interaction with deformation of a textured 3D model; incorporate contextual elements when possible; represent sensor locations and properties • Animation packages can be successfully utilized for scientific visualization. They are flexible and extensible for quick prototyping. The visual results are highly realistic with high fidelity. • Proper registration of data and metadata is important. Without registration, features like camera matching and compositing can be guesswork at best. • Matching environmental light is still a challenge. • The visualized results are valuable tools for dissemination of information and suitable for both a broader scientific and non-scientific community.
Visualization Issues • Domain knowledge • Multivariate data representation • Temporal coherence • Precision Loss (compression, etc…) • Interaction vs. batch • Perceptual Issues • Personal Bias (author & viewer)
Acknowledgements • Steve Cutchin • Mike Rossmasler(Viz Intern) • Ruben Soto-Alcauter(NEES-IT Intern) • Andrew Collier (NEES-IT Intern) • Jose Restrepo • Marios Panagiotou • Lelli Van Den Einde • Anke Kamrath Study was funded by SDSC
Thanks for your patience? - Web: http://visservices.sdsc.edu/ Reference:Chourasia, A. (2007) “Digital Recreation of a Seven Story Building Shake during an Earthquake”, ACM Crossroads, 13-3, 2007