[Announce] NHERI SimCenter 5/31 Webinar Announcement

[announce at designsafe-ci.org]

*Reminder to register for today's NHERI SimCenter – Early Career Researcher
Forum*

Wednesday, June 28, 2017, noon – 1pm (PDT)




*Uncertainty Analysis of Structural Seismic Response Parameters Using
High-Throughput Computing*



*PRESENTER*: Zach Caamano-Withall

Zach Caamano-Withall is a Ph.D. student in the Department of Structural
Engineering at UC San Diego. Working with Prof. Joel P. Conte, his research
focuses on probabilistic modeling and analysis in the context of
reliability-based, performance-based seismic analysis and design of civil
structures. Zach received his undergraduate degree from UC San Diego in
2015.



*REGISTER* for this webinar at

https://www.designsafe-ci.org/learning-center/webinar-170531/

Connection information will be distributed upon receipt of registration.

Registration to close at 11am (PDT).



*ABSTRACT*: Reliability-based seismic design of structures requires an
ensemble of nonlinear time history analyses (NLTHA) based on a nonlinear
finite element (FE) model of the structure of interest. This ensemble of
NLTHAs typically accounts for the seismic record-to-record variability, but
can also consider the variability (uncertainty) of the FE model parameters.
For detailed nonlinear FE structural models, a single NLTHA is
computationally intensive (runtime on the scale of hours or days). To
statistically quantify the variability of the structural response, Monte
Carlo simulation (and its various derivatives) can be employed to set up
the ensemble analysis. Monte Carlo simulation, known for being one of the
most robust yet computationally expensive methods to propagate uncertainty
through a numerical analysis, is made computationally feasible via
parallelization on a supercomputer.



A 5-story three-dimensional steel moment building frame subject to both
model parameter uncertainty and ground motion record-to-record variability
is analyzed in parallel using a hybrid statistical/structural analysis
software. This software was created by coupling two open-source software
frameworks: Dakota, developed by Sandia National Laboratories, for
uncertainty quantification and OpenSees (Open System for Earthquake
Engineering Simulation) for advanced modeling and analysis of structural
and geotechnical systems subjected to earthquakes. Some of the capabilities
of this coupled framework will be illustrated through this application
example.
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