SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
NEESgrid: The national collaboratory for earthquake engineering
Thomas A. FinholtSchool of InformationUniversity of Michigan
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Outline The field of earthquake engineering
The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES)
NEESgrid – cyberinfrastructure for earthquake engineers
Challenges and prospects
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The field of earthquake engineering
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Bhuj, India. One of the towers of this apartment complex totally collapsed,and the central stairway leaned on another building of the complex.
Photo courtesy of Dr. J.P. Bardet, University of Southern Californiahttp://geoinfo.usc.edu/gees/RecentEQ/India_Gujarat/Report/Damage/Bhuj/Bardet_Feb18.html
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The earthquake engineering community
Research– University-based– Funded by NSF and industry– Focus on simulation
• Physical models (e.g., reduced scale specimens)• Numerical models (e.g., finite element analysis)
Practice– Professional firms– Structural engineering (e.g., earthquake remediation)– Formulation of uniform building codes– Lifelines (e.g., ensure survival of roads, gaslines,
power distribution)
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Shake table: Nevada, Reno
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Reaction wall: Minnesota
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Centrifuge: UC Davis
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Wave basin: Oregon State
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The George E. Brown, Jr. Network for Earthquake Engineering
Simulation (NEES)
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George E. Brown, Jr. Network for Earthquake Engineering Simulation NSF Major Research Equipment and Facility
Construction award (MRE) $82 million, 2001-04
– $10 million for system integration (NCSA, ANL, USC-ISI, Michigan, Oklahoma)
– $2 million for consortium development (CUREE)– $60 million for new equipment sites
• 3 shake tables (Buffalo, Nevada-Reno, UCSD)• 2 centrifuges (RPI, UC Davis)• 5 reaction walls (Berkeley, Buffalo, Colorado, Illinois, Lehigh,
Minnesota)• 3 field test (Texas, UCSB/USC/BYU, UCLA)• 1 lifeline (Cornell)• 1 tsunami (Oregon State)
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
NEESgrid – cyberinfrastructure for earthquake engineers
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
The Atkins report: A brief summary
Nothing tends so much to the advancement of knowledge as the application of a new instrument.
Sir Humphrey Davy
Quotation source: Thomas Hager, Force of Nature, Simon and Schuster, New York, 1995, p 86Image source: Sir Thomas Lawrence, circa 1821, National Portrait Gallery, London
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Researchers
DataFacilities
Synchronized dataSynchronized data and imagesData discovery
Automatic archivingSimulation codesHybrid experiments
TeleoperationTeleobservation
Synchronous communicationAsynchronous communication
All via high-performance
networks
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Technology involved Telecontrol and data transmission (USC ISI and ANL)
– NTCP– Globus/OGSI
Collaboration services (Michigan)– CHEF/Sakai
Telepresence systems (ANL) Electronic lab notebook (ANL, PNNL) Data and metadata
– Data repository (NCSA)– Project browser (Michigan)– Metadata description (Stanford, USC)
Numerical simulation (UCB, Mississippi State) Deployment, operations, and support (NCSA) Videoconferencing (Internet2 Commons) Prototyping (Washington University)
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NEESgrid interface
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Multi-Site, On-Line Simulation Test (MOST)July 2003
UIUC
Experimental Model
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NCSA Computational Model
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Colorado
Experimental Model
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SAC Consortium Benchmark Structure
Multi-Site, On-Line Simulation Test (MOST)
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NCSANCSA
Computational Model
SIMULATIONSIMULATION
COORDINATORCOORDINATOR
NEESpop NEESpop
NEESpop
UIUC MUST-SIM•Dan Abrams•Amr Elnashai•Dan Kuchma•Bill Spencer• and othersColorado FHT•Benson Shing•and others
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MOST Column Test Specimens
Illinois Test Specimen
Colorado Test Specimen
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Post-experiment rating of MOST success (n=22)
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NEES MCU Usage
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Use of H.323 videoconferencing
UNR Demob c d
a = initial ES-TF meeting; b = ES-TF meeting time changed; c = succession to new ES-TF chair; d = change to biweekly ES-TF meetings
a NSF LAN meetings
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Challenges and prospects
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Challenges Costs incurred by developers are often borne
by users– Generalized solutions can be too heavy
Inertia– Research practices evolve more slowly than
technologies
Cultural conflicts– Engineering perspectives VS. computer science
perspectives
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Prospects
Attempts to apply new technology are often framed in terms of familiar technology
First efforts are often awkward hybrids
It is hard to know where the seeds of greatness might lie...
Source: American Automobile Manufacturers Association, http://www.automuseum.com/carhistory.html
Charles King’s “horseless carriage” (1896) Detroit, Michigan
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Relevant URLs
neesgrid.org
nees.org
www.scienceofcollaboratories.org
crew.umich.edu
si.umich.edu