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) NEESgrid – cyberinfrastructure for earthquake engineers Challenges and prospects

The field of earthquake engineering

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 California http://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)

Shake table: Nevada, Reno

Reaction wall: Minnesota

Centrifuge: UC Davis

Wave basin: Oregon State

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)

                                                                                                                        

NEESgrid – cyberinfrastructure for earthquake engineers

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 86 Image source: Sir Thomas Lawrence, circa 1821, National Portrait Gallery, London

All via high-performance networks 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)

NEESgrid interface

Multi-Site, On-Line Simulation Test (MOST) July 2003 UIUC Experimental Model f1 m1 f2 Colorado Experimental Model NCSA Computational Model m1 f1 f2 SAC Consortium Benchmark Structure

Multi-Site, On-Line Simulation Test (MOST) UIUC Experimental Model Colorado Experimental Model m1, q1 F2 F1 e = f1, x1 f2 NEESpop NEESpop SIMULATION COORDINATOR UIUC MUST-SIM Dan Abrams Amr Elnashai Dan Kuchma Bill Spencer and others Colorado FHT Benson Shing NEESpop m1 f1 f2 NCSA Computational Model

MOST Column Test Specimens Illinois Test Specimen Colorado Test Specimen

MOST participants over time (CDT) Start time Sever reboot 800 steps in viewer Test completed

Post-experiment rating of MOST success (n=22)

Use of H.323 videoconferencing a NSF LAN meetings b 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 and prospects

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

Charles King’s “horseless carriage” (1896) Detroit, Michigan 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