Transcript PRAGMA 13 MAEViz Tutorial

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
Mid-America Earthquake Center
MAEViz – a Cyberenvironment linking Research and
Practice
Decision
Support
Fragility
Models
Social/Economic Impact Limit State
Damage
Prediction
Input error margin
Response error margin
Input Motion Parameter
Inventory
Selection
• Engineering View of MAE Center Research
• Portal-based Collaboration Environment
• Distributed Data/metadata Sources
National Center for
• Multi-disciplinary
Collaboration
Supercomputing Applications
Hazard
Definition
MAEviz Input - Hazards
•
•
•
Sources
– USGS maps,
– Generated maps from attenuation
relationships
Scenario or probabilistic
Including liquefaction effects
Mid-America Earthquake Center
0.3
0.5 g
0.6 g
g
MAEviz Output - Damage Results
- Non-Residential Un-reinforced Masonry (URM) in Memphis
Mid-America Earthquake Center
Damage Result: Memphis Gas Pipeline
Networks
Total Damage
Heavy Damage
Medium Damage
Light Damage
Slight Damage
No Damage
Mid-America Earthquake Center
Static Traffic Analysis
•
Optimization of post-event traffic flow
Mid-America Earthquake Center
Injuries ($) by Census Tract
Mid-America Earthquake Center
Deaths ($) by Census Tract
Mid-America Earthquake Center
Monetary Loss by Census Tract
Mid-America Earthquake Center
The MAEviz Portal
http://maeviz.cee.uiuc.edu/
Mid-America Earthquake Center
Community Driven
• Calendar
• Discussions
• Shared
Resources
• News/RSS
• Wiki pages
• Blog
• MAEviz
Application
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
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
Meta
data
Workf
low
Social
Netw
orks
…
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 – sociotechnical changes in the way earthquake risk
analysis is done.