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DTSTAMP:20210916T132453Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210708T123000
DTEND;TZID=Europe/Stockholm:20210708T130000
UID:submissions.pasc-conference.org_PASC21_sess160_msa159@linklings.com
SUMMARY:Stochastic Optimization of a Twisted Tower under Uncertain Wind Lo
 ading
DESCRIPTION:Minisymposium\n\nStochastic Optimization of a Twisted Tower un
 der Uncertain Wind Loading\n\nKodakkal, Apostolatos, Keith, Bletzinger, Wo
 hlmuth...\n\nHerein the stochastic optimization of a high-rise building su
 bject to wind loading is presented. This is especially important as many p
 arameters are uncertain in real-life and only statistical data can be used
 . A deterministic simulation would therefore result in a poor prediction o
 f the physical phenomena and thus a stochastic setting of the problem is h
 erein proposed. The high-rise building under study has an elliptical cross
  section with linearly varying radii from bottom to top to account for tap
 ering. As design parameters, the radii of the elliptical shapes at the bot
 tom and top of the building, its height and the twist angle with respect t
 o the top floor of the building are used. Concerning the stochastic parame
 ters of the problem, these are chosen to be the wind direction, the inhere
 nt turbulent fluctuations and the mean profile parameters of the wind. Sto
 chastic sensitivities are computed and a steepest-descent gradient-based o
 ptimization algorithm is used with the objective of minimizing the extreme
 s of total force and base moment due to the wind excitation. The recently 
 proposed risk averse stochastic PDE-constrained optimization [1] is herein
  employed. This work is supported by ExaQUte funded by the European Union&
 rsquo;s Horizon 2020 research and innovation programme, aiming at construc
 ting a framework to enable Uncertainty Quantification (UQ) and Optimizatio
 n Under Uncertainties (OUU) in complex engineering problems using computat
 ional simulations on Exascale systems. <br />[1] Rockafellar, R. T., &
  Royset, J. O. (2010). On buffered failure probability in design and optim
 ization of structures. Reliability engineering & system safety, 95(5),
  499-510.\n\nDomain: CS and Math, Climate and Weather, Engineering
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