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MAEviz Overview 10/31/08 Bill Spencer, Amr Elnashai Jim Myers, Shawn Hampton

MAEviz Overview 10/31/08 Bill Spencer, Amr Elnashai Jim Myers, Shawn Hampton. MAEViz: Consequence-Based Risk Management for Seismic Events. Decision Support. Damage Prediction. Fragility Models. Inventory Selection. Engineering View of MAE Center Research

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MAEviz Overview 10/31/08 Bill Spencer, Amr Elnashai Jim Myers, Shawn Hampton

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  1. MAEviz Overview10/31/08Bill Spencer, Amr ElnashaiJim Myers, Shawn Hampton

  2. MAEViz: Consequence-Based Risk Management for Seismic Events Decision Support Damage Prediction Fragility Models Inventory Selection • Engineering View of MAE Center Research • Physical through Socio-economic Analysis • A “Cyberinfrastructure Aware” Application Hazard Definition

  3. MAEviz – the Basics 2D & 3D Views Charts and Reports Scenario Manager Data Catalog Tables Data  Analysis  Visualization

  4. Hazard probabilistic & scenario, liquefaction Building & Bridge Damage, functionality, retrofit Lifeline Gas, water, electric facilities and networks, inter-network Socioeconomic Shelter/housing needs, fiscal, business interruption MAEviz Analyses • 40+ Analysis Types, > 40% Unique to MAEviz • Building Related Analyses Details as of June 2008 at MAEviz Overview 6.3.08.ppt

  5. Dislocation Analysis Results

  6. Short Term Shelter Needs & Supplies

  7. Decision Support - Data Aggregation • Building Dataset • Memphis Building Inventory (w/out single family homes) • Event • Magnitude 7.9 Earthquake at Blytheville, AR • Analysis • Equivalent Cost Analysis • Death = $5,000,000 per • Injury = $1,500,000 per • Function loss = $100,000 per sq. ft. per day Monetary Loss by Census Tract Deaths ($) by Census Tract Injuries ($) by Census Tract

  8. Professional Look and Feel • Drag and Drop • Resizable Panes/Tear-off Windows • Synchronized Tables/Visualizations • Visualization Preferences • Reporting (pdf, csv, html) geotools.org/ vtk.org/ eclispe.org/rcp jasperreports.sourceforge.net/ JFreeChart sourceforge.net/projects/jfreechart Ktable sourceforge.net/projects/ktable/

  9. Scenario Process Browser • Shows overall network of analyses run • Enables goal-centric work • What analyses/data are needed to enable this analysis? • Enables exploratory work • What analyses can I perform given the inputs I have? • Network structure is recorded as provenance

  10. Usage • Web Downloads: 942 • 16 states • 9 countries •  MAE Center use: • Industry • Federal and State Government (FEMA, IEMA) • Foreign Municipalities (Istanbul) • Faculty and Graduate Students (University of Illinois, Georgia Tech, Texas A&M) • Wide range of interest in extensions…

  11. MAEviz as a MAE/NCSA Cyberenvironment Partnership Jim Myers Associate Director NCSA Cyberenvironments

  12. Leveraging Expertise and Cyberinfrastructure • MAEViz has been developed faster and is more effective do to its incorporation of • Design concepts, • Lessons learned, and • Software components developed through a focused effort to understand virtual organizations and to develop domain-independent infrastructure.

  13. “I have sensitive data I won’t distribute” Network Aware Secure Enterprise Data • WebDAV, JCR, RDF, SAM, Tupelo Desktop Public Reference Data Data/Metadata Computation

  14. “Understanding the Scientific Basis of Decisions is Critical” Process Aware • Workflow, Provenance, RDF Process Capture Discover Execute Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Report

  15. SSO “Developing a Scenario requires a wide range of expertise” Group Aware • Collaboratory, Portal, … Plan, Coordinate, Share, Compare Wiki Task List Chat Document Repository Scenario Repository Training Materials

  16. “My results could impact how we prepare for the next event” Dynamic • Plug-ins, Provenance, Environment New Third-Party Analyses Compare, Contrast, Validate Auto-update MAEviz GIS Workflow Data Eclipse RCP Plug-in Framework

  17. An Exemplar of a New Mode of R,D & D • A End-to-End Cyberenvironment Designed to Support Consequence-Based Risk Management • Reducing the “Time From Discovery” • Connecting Engineering Research and Practice • Demonstrating Core Design Principles and Capabilities that are Applicable Across Many Domains • Providing a Concrete Use Case for Research Efforts

  18. A Production Model for Collaboration • MAEviz is Driven by MAE/Community Needs • Architecture incorporates the latest ideas yet • MAEviz development priorities are focused on MAE/Community needs • MAEviz is developed using rigorous software engineering • MAEviz does not incorporate unproven software or extraneous core functionality to serve research needs • Avoids ‘perpetual beta’ and high barriers of more tightly coupled approaches…

  19. A True Partnership • Leadership, Requirements Gathering, Funding, Evaluation from MAE Center • Cyberinfrastructure Expertise, Developers, Components and Funded Component R&D from NCSA • Use of leading Open Source toolkits for production capabilities

  20. Connections with NCSA Cyberenvironments R&D • Distributed Semantic Data/Metadata Management • Data and Scholarship Curation and Preservation • Geospatial Data Synthesis and Application-Oriented Access to Distributed Data and Compute Resources

  21. MAEviz PIs • Bill Spencer • Jim Myers • PM • Terry McLaren • Software Team: • Chris Navarro • Shawn Hampton • Jong Sung Lee • Nathan Tolbert http://maeviz.ncsa.uiuc.edu

  22. Potential Paths Forward • Continuing integration of research products to support new engineering, e.g. • NEES-R Ports Grand Challenge project • R&D, e.g to: • Provide support for Multiple Hazards • Incorporate optimization techniques for decision support/urban planning • Develop real-time capabilities for post-event use • Integration with web/desktop GIS mapping tools (e.g. GoogleEarth, NASA WorldWind) • Enhance computation and display of uncertainty information • Support massive scaling via HPC or cloud computing • Deeper data connections with NEES, Post Earthquake Information Management System (PIMS)

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