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NEES FAST-MOST

NEES FAST-MOST. Bozidar Stojadinovic Gilberto Mosqueda UC Berkeley. Objectives. Improve reliability of results from geographically distributed hybrid simulations Increase speed of test Reduce the time it takes to load experimental substructures Minimize network communication

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NEES FAST-MOST

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  1. NEES FAST-MOST Bozidar Stojadinovic Gilberto Mosqueda UC Berkeley

  2. Objectives • Improve reliability of results from geographically distributed hybrid simulations • Increase speed of test • Reduce the time it takes to load experimental substructures • Minimize network communication • Implement algorithms for continuous loading of experimental substructures

  3. Challenges • Continuous methods are based on real-time algorithms • Network communication time is random • Integration task time may be random • Need fault-tolerant mechanism to deal with uncertainties • Occasional event: network delays • Rare event: integrator crashes or communication with remote site is lost.

  4. Current Status • Simulation only code is complete • Code is adapted from July MOST developed at UIUC • Structural model changed to 6-span bridge model • Deck and one column are numerical models • Other 4 columns are independent experimental models • Simple to add or remove number of experimental sites • Event-driven model in Simulink was distributed to ‘fast_hybrid’ email list in December • Remaining tasks • Need to determine who is involved as experimental and computations sites; schedule a simulation run • Sites to implement event-driven model and link to MOST code and experimental setup • Optimize NTCP for speed, relax constraints on control of test from ‘simulation coordinator’ point of view – to discuss

  5. Structural Model • 6-span bridge model • Span and one column are numerical models • Other 4 columns are experimental models Computational Sites: UIUC/NCSA Experimental Sites: Berkeley Boulder UIUC Buffalo Lehigh

  6. UIUC Computational Model U. Colorado Computational Model f2 m1 f1 TCP/IP Link TCP/IP Link SIMULATION COORDINATOR TCP/IP Link m1 f2 f1 NCSA Computational Model Current NTCP Configuration Source:MOST presentation (Spencer et al.)

  7. Proposed NTCP Configuration UIUC Computational Model U. Colorado Computational Model f2 m1 f1 SIMULATION COORDINATOR TCP/IP Link TCP/IP Link m1 f2 f1 NCSA Computational Model

  8. Comparison of NTCP Configuration • Existing Protocol: • propose(comp) getResponse(comp) • Execute(comp) getResponse(comp) • For No of SITES propose(expsite) getResponse(expsite) • For No of SITES querry(expsite) getResponse(expsite) • For No of SITES execute(expsite) • For No of SITES getResponse(expsite) • Proposed Protocol with integrated simulation coordinator and computational site: • For No of SITES propose(expsite) • For No of SITES getAcceptResponse(expsite) • For No of SITES if accepted getResponse(expsite) else pause simulation

  9. Conclusion • Which sites will be involved as experimental sites; provide specimen characteristics • Sites must try out the Matlab Fast-MOST code and Simulink model and verify if they can run it; provide comments or suggestions • Develop time line for doing a computer-only simulation • Develop a time line for doing a hybrid simulation

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