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PRAGMA 13 MAEViz Tutorial

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PRAGMA 13 MAEViz Tutorial MAE Center PI: Amr Elnashai, MAEviz PI: Bill Spencer, Co-PI: Jim Myers, PM: Terry McLaren Software Team: Chris Navarro, Shawn Hampton, Jong ... – PowerPoint PPT presentation

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Title: PRAGMA 13 MAEViz Tutorial


1
PRAGMA 13 MAEViz Tutorial
MAE Center PI Amr Elnashai, MAEviz PI Bill
Spencer, Co-PI Jim Myers, PM Terry McLaren
Software Team Chris Navarro, Shawn Hampton,
Jong Sung Lee, Nathan Tolbert
2
MAEViz a Cyberenvironment linking Research and
Practice
Mid-America Earthquake Center
Decision Support
Damage Prediction
Fragility Models
Inventory Selection
  • Engineering View of MAE Center Research
  • Portal-based Collaboration Environment
  • Distributed Data/metadata Sources
  • Multi-disciplinary Collaboration

Hazard Definition
3
MAEviz Input - Hazards
  • Sources
  • USGS maps,
  • Generated maps from attenuation relationships
  • Scenario or probabilistic
  • Including liquefaction effects

4
MAEviz Output - Damage Results
- Non-Residential Un-reinforced Masonry (URM) in
Memphis
5
Damage Result Memphis Gas Pipeline Networks
6
Static Traffic Analysis
  • Optimization of post-event traffic flow

7
Injuries () by Census Tract
8
Deaths () by Census Tract
9
Monetary Loss by Census Tract
10
The MAEviz Portal
http//maeviz.cee.uiuc.edu/
  • Community Driven
  • Calendar
  • Discussions
  • Shared Resources
  • News/RSS
  • Wiki pages
  • Blog
  • MAEviz Application

11
Why MAEviz?
  • Revolutionize the practice of earthquake research
    and catastrophe management
  • Coordinate critical infrastructure planning to
    account for system interdependencies
  • Connect researchers, scientists, engineers,
    decision makers and practitioners
  • Support scientific discourse and traceability
    across prediction, mitigation, response, and
    recovery

12
How to Think About MAEviz (in layers)
  • An Earthquake Risk Management Tool
  • A tool for discourse compare and contrast
    methods
  • A platform for Multi-Hazard Analysis
  • A platform for GIS environment development
  • An example cyberenvironment with workflow,
    provenance, collab-oration capabilities

Metadata
Workflow
Social Networks

13
Impact
  • Research ? Predictions of real-world effects
  • Memphis, SCDOT, FEMA, IEMA, USACE, Istanbul,
    Pakistan, Indonesia
  • Effective CI solving problems vertical domain
    integration as a driver
  • An example Cyberenvironment socio-technical
    changes in the way earthquake risk analysis is
    done.
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