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.

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Presentation transcript:

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

National Center for Supercomputing Applications MAEViz – a Cyberenvironment linking Research and Practice Mid-America Earthquake Center Engineering View of MAE Center Research Portal-based Collaboration Environment Distributed Data/metadata Sources Multi-disciplinary Collaboration Hazard Definition Inventory Selection Fragility Models Damage Prediction Decision Support

MAEviz Input - Hazards Sources –USGS maps, –Generated maps from attenuation relationships Scenario or probabilistic Including liquefaction effects 0.6 g 0.5 g 0.3 g

MAEviz Output - Damage Results - Non-Residential Un-reinforced Masonry (URM) in Memphis

Damage Result: Memphis Gas Pipeline Networks Total Damage Heavy Damage Medium Damage Light Damage Slight Damage No Damage

Static Traffic Analysis Optimization of post-event traffic flow

Injuries ($) by Census Tract

Deaths ($) by Census Tract

Monetary Loss by Census Tract

The MAEviz Portal 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 – socio- technical changes in the way earthquake risk analysis is done.