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NEESgrid: The national collaboratory for earthquake engineering. Thomas A. Finholt School of Information University of Michigan. Outline. The field of earthquake engineering The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES)
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NEESgrid: The national collaboratory for earthquake engineering Thomas A. FinholtSchool of InformationUniversity 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
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
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)
The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES)
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)
Nothing tends so much to the advancement of knowledge as the application of a new instrument. Sir Humphrey Davy The Atkins report: A brief summary 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
Synchronous communication • Asynchronous communication Researchers • Synchronized data • Synchronized data and images • Data discovery • Teleoperation • Teleobservation All via high-performance networks Facilities Data • Automatic archiving • Simulation codes • Hybrid experiments
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)
UIUC Experimental Model Colorado Experimental Model NCSA Computational Model m1 f2 f1 f2 f1 m1 Multi-Site, On-Line Simulation Test (MOST)July 2003 SAC Consortium Benchmark Structure
F1 m1, q1 f2 e f1, x1 F2 = NEESpop NEESpop NEESpop m1 f2 f1 Multi-Site, On-Line Simulation Test (MOST) UIUC Experimental Model Colorado Experimental Model SIMULATION COORDINATOR • UIUC MUST-SIM • Dan Abrams • Amr Elnashai • Dan Kuchma • Bill Spencer • and others • Colorado FHT • Benson Shing • and others NCSA Computational Model
MOST Column Test Specimens Illinois Test Specimen Colorado Test Specimen
Sever reboot Start time MOST participants over time (CDT) 800 steps in viewer Test completed
Use of H.323 videoconferencing NSF LAN meetings b a c d UNR Demo 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
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
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... Charles King’s “horseless carriage” (1896) Detroit, Michigan Source: American Automobile Manufacturers Association, http://www.automuseum.com/carhistory.html
Relevant URLs • neesgrid.org • nees.org • www.scienceofcollaboratories.org • crew.umich.edu • si.umich.edu