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DTSTAMP:20210916T132529Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210708T110000
DTEND;TZID=Europe/Stockholm:20210708T130000
UID:submissions.pasc-conference.org_PASC21_sess160@linklings.com
SUMMARY:High-Performance Simulations of Fluid Dynamics with Uncertain Wind
  for Robust Design in Civil Engineering
DESCRIPTION:Minisymposium\n\nUncertainty in the input data is a reality of
  engineering practice, albeit not always modelled in simulations. Accurate
  quantification of the resulting output uncertainty yields finer control o
 n the robustness and cost of designs. However, this quantification require
 s exploring the parameter space – usually with numerous simulations – whic
 h may incur a prohibitive cost, especially for involved studies such as op
 timal design in fluid dynamics. Parallel computing can make such studies t
 ractable, provided suitable methods are used to leverage it. This is an ac
 tive field of research especially relevant for fluid dynamics, whose simul
 ations are notoriously expensive and intricate, while being critical to ma
 ny applications: aeronautics, civil engineering, meteorology, etc. Present
 ed here are novel research developments from ExaQUte, an EU-H2020 project 
 developing HPC methods for robust engineering design. The driving applicat
 ion is the optimisation of building shapes for civil engineering under unc
 ertain wind loads. Therefore, this mini-symposium encompasses unsteady flu
 id problems, adaptive meshing, uncertainty quantification, robust shape op
 timisation and more. The methods discussed here are designed to leverage p
 arallelisation with a modern framework for current and future distributed 
 computing environments.\n\nStochastic Optimization of a Twisted Tower unde
 r Uncertain Wind Loading\n\nKodakkal, Apostolatos, Keith, Bletzinger, Wohl
 muth...\n\nHerein the stochastic optimization of a high-rise building subj
 ect to wind loading is presented. This is especially important as many par
 ameters are uncertain in real-life and only statistical data can be used. 
 A deterministic simulation would therefore result in a poor prediction of 
 the physical ph...\n\n---------------------\nA Time-Parallel Monte Carlo A
 pproach for Unsteady Systems\n\nRossi, Tosi, Núñez, Keith, Wohlmuth...\n\n
 Several challenges arise when considering the design and simulation of lar
 ge-scale civil structures under the action of wind. First, the dimensions 
 and complexity of these structures require the use of large meshes that in
 volve the resolution of enormous systems of equations. Second, the randomn
 ess ...\n\n---------------------\nEfficient Multi-Level Monte Carlo Estima
 tors for Robust Engineering Design\n\nGanesh, Ayoul-Guilmard, Nobile\n\nMe
 teorological conditions play an important role in civil engineering, parti
 cularly for tall and slender structures. It is essentially difficult to pr
 edict at the design stage, and a popular approach is to use a stochastic m
 odel based on past observations. An optimal design robust to the variabili
 ty...\n\n---------------------\nIterative Parallel Tetrahedral Mesh Adapta
 tion\n\nCirrottola, Froehly\n\nUnstructured mesh adaptation is experiencin
 g growing usage in industry. Anyway, for big industrial problems (like bil
 lion-elements meshes) sequential adaptation is severely limited by the mem
 ory available, besides the growing computing time. We present a parallel a
 daptation method based on iterative...\n\n\nDomain: CS and Math, Climate a
 nd Weather, Engineering
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