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MAEviz Overview 103108 Bill Spencer, Amr Elnashai Jim Myers, Shawn Hampton

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Title: MAEviz Overview 103108 Bill Spencer, Amr Elnashai Jim Myers, Shawn Hampton


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
MAEviz Analyses
  • 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
  • 40 Analysis Types, gt 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
Network-Based Seismic Retrofit (NBSR) Analysis
8
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
9
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/
Ktable sourceforge.net/projects/ktable/
JFreeChart sourceforge.net/projects/jfreechart
10
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

11
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 AM)
  • Wide range of interest in extensions

12
MAEviz as a MAE/NCSA Cyberenvironment Partnership
  • Jim Myers
  • Associate Director
  • NCSA Cyberenvironments

13
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.

14
I have sensitive data I wont distribute?
Network Aware
Secure Enterprise Data
  • WebDAV, JCR, RDF, SAM, Tupelo

Desktop
Public Reference Data
Data/Metadata
Computation
15
Understanding the Scientific Basis of Decisions
is Critical? Process Aware
  • Workflow, Provenance, RDF

Process Capture
Discover
Execute
Impact of a New Madrid Event
Report
16
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
17
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
Workflow
Data
GIS
Eclipse RCP
Plug-in Framework
18
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

19
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

20
A True Partnership
  • Leadership, Requirements Gathering, Funding,
    Evaluation from MAE Center
  • Cyberinfrastructure Expertise, Developers,
    Components and Funded Component RD from NCSA
  • Use of leading Open Source toolkits for
    production capabilities

21
Connections with NCSA Cyberenvironments RD
  • Distributed Semantic Data/Metadata Management
  • Data and Scholarship Curation and Preservation
  • Geospatial Data Synthesis and Application-Oriented
    Access to Distributed Data and Compute Resources

22
  • 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
23
Potential Paths Forward
  • Continuing integration of research products to
    support new engineering, e.g.
  • NEES-R Ports Grand Challenge project
  • RD, 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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