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

Mid-America Earthquake CenterMid-America Earthquake Center

MAEviz Overview10/31/08

Bill Spencer, Amr ElnashaiJim Myers, Shawn Hampton


F ile In terven tio n s

M ae v iz – [M em p his T es t B ed ]In ven to ry H a zards Vuln era bility D ec is io n s up po r t In terde pe nd en cies H elp

?C o nseq u en ce T ab le

O K C an ce l

Ea rthquake Leve l: 5% PE in 50 ye ars

D ec is ion O p tion : E quiva len t C os t An a lys is

P rob . D is tr ib u tion Pre fe ren ce Plo t P O S p lo t C o m pare S che m e s

?Sch em e C o m p ariso n

O K C ance l

D es crip tion

S ch em e #1C 2 M Re buildC 2 L Re buildU R M L Re build

S ch em e #2C 2 M Re ha b L SC 2 L Re ha b L SU R M L No A c t io n

C o ns e q ue nc e C o m p a riso n

0102030405060708090

10 0

No Ac tion S c h em e #1 S ch em e #2

Alte rna tive s

Loss

($M

)

Life L os sD ollar L os s

Input Motion Parameter

Soci

al/E

cono

mic

Impa

ct L

imit

Stat

e

Input error margin

Response error margin


Soci

al/E

cono

mic

Impa

ct L

imit

Stat

e

Input error margin



Soci

al/E

cono

mic

Impa

ct L

imit

Stat

e

Input error margin


MAEViz: Consequence-Based Risk Management for Seismic Events

• Engineering View of MAE Center Research• Physical through Socio-economic Analysis• A “Cyberinfrastructure Aware” Application

Hazard Definition

Inventory Selection

FragilityModels

Damage Prediction

Decision Support


MAEviz – the Basics

Scenario Manager

Tables

2D & 3D Views

Charts and Reports

Data Catalog

Data Analysis Visualization


– 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

Building Related Analyses

Details as of June 2008 at MAEviz Overview 6.3.08.ppt

• 40+ Analysis Types, > 40% Unique to MAEviz


Dislocation Analysis Results


Short Term Shelter Needs & Supplies


Decision Support - Data Aggregation

Monetary Loss by Census Tract

Injuries ($) by Census TractDeaths ($) by Census Tract

• 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


Professional Look and Feel

• Drag and Drop• Resizable Panes/Tear-off Windows• Synchronized Tables/Visualizations• Visualization Preferences• Reporting (pdf, csv, html)

Ktablesourceforge.net/projects/ktable/

geotools.org/ eclispe.org/rcp jasperreports.sourceforge.net/

vtk.org/

JFreeChartsourceforge.net/projects/jfreechart


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


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…


MAEviz as a MAE/NCSA Cyberenvironment

Partnership

Jim MyersAssociate Director

NCSA Cyberenvironments


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.


“I have sensitive data I won’t distribute”

Network Aware

• WebDAV, JCR, RDF, SAM, Tupelo

Desktop

SecureEnterprise

Data

Public Reference

Data

Data/Metadata

Computation


“Understanding the Scientific Basis of Decisions is Critical”

Process Aware

• Workflow, Provenance, RDF

DiscoverProcessCapture

Execute

Report


“Developing a Scenario requires a wide range of expertise”

Group Aware

• Collaboratory, Portal, …

Plan, Coordinate, Share, Compare

WikiTask ListChatDocument RepositoryScenario RepositoryTraining Materials

SSO


“My results could impact how we prepare for the next event” Dynamic

• Plug-ins, Provenance, Environment

Eclipse RCP

Workflow DataGIS

MAEviz

Plug-in Framework

Auto-update

New Third-PartyAnalyses

Compare, Contrast,Validate


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


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…


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


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


MAEviz PIs

• Bill Spencer

• Jim Myers

PM

• Terry McLaren

http://maeviz.ncsa.uiuc.edu

Software Team:

• Chris Navarro

• Shawn Hampton

• Jong Sung Lee

• Nathan Tolbert


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)

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

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