maeviz overview 10/31/08 bill spencer, amr elnashai jim myers, shawn hampton

Mid-America Earthquake CenterMid-America Earthquake Center

MAEviz Overview

10/31/08

Bill Spencer, Amr ElnashaiJim Myers, Shawn Hampton


F ile In te rv e n tion s

M aev iz – [M em p h is T est B ed ]

In v e n to ry H a zard s V u lne ra b ility D e c is ion s u p po rt In te rd e p e n d e n c ie s H e lp

?C o n seq u en ce T ab le

O K C ance l

E a rthquake Lev e l: 5% P E in 50 yea rs

D ec is ion O ption: E qu iv a len t C os t A na lys is

P ro b . D is trib u tio n P re fe re n ce P lo t P O S p lo t C o m pa re S che m e s

?S ch em e C o m p ariso n

O K C ance l

D e scrip tio n

S ch e m e #1C 2M R ebu ildC 2L R ebu ildU R M L R ebu ild

S ch e m e #2C 2M R ehab LSC 2L R ehab LSU R M L N o A ctio n

C o ns e q ue nc e C o m p aris o n

0102030405060708090

100

No Ac tion S c hem e #1 S c hem e #2

A lte rna tives

Loss

($M

)

Life Los s

D ollar Los s

Input Motion Parameter

So

cial

/Eco

no

mic

Imp

act

Lim

it S

tate

Input error margin

Response error margin


So

cial

/Eco

no

mic

Imp

act

Lim

it S

tate

Input error margin



So

cial

/Eco

no

mic

Imp

act

Lim

it S

tate

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 Myers

Associate 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

Documents

socioeconomic analysis

analysis types

cyberinfrastructure

census tractdeaths

census tractinjuries

network awarewebdav

network structure

exploratory workwhat