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Published byJenna Crabtree Modified over 10 years ago
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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 Sung Lee, Nathan Tolbert
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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
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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
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MAEviz Output - Damage Results - Non-Residential Un-reinforced Masonry (URM) in Memphis
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Damage Result: Memphis Gas Pipeline Networks Total Damage Heavy Damage Medium Damage Light Damage Slight Damage No Damage
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Static Traffic Analysis Optimization of post-event traffic flow
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Injuries ($) by Census Tract
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Deaths ($) by Census Tract
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Monetary Loss by Census Tract
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The MAEviz Portal Community Driven Calendar Discussions Shared Resources News/RSS Wiki pages Blog MAEviz Application http://maeviz.cee.uiuc.edu/
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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
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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 …
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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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