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UID:news243@dmi.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20180716T210827
DTSTART;TZID=Europe/Zurich:20151201T121000
SUMMARY:Seminar CCCS: Prof. M. Griebel (University of Bonn)
DESCRIPTION:Polymeric viscoelastic fluids can be modelled by using the Navi
 er-Stokes equations on the macroscopic scale with an additional stress ten
 sor and a higher-dimensional Fokker-Plank equation or a corresponding stoc
 hastic PDE on the microscopic scale. Here\, the dimension of the microscop
 ic problem is 3N where N+1 is the number of beads in the underlying spring
  bead model for viscoelasticity. For the numerical treatment of the overal
 l system\, we couple the the stochastic Brownian configuration field metho
 d with our fully parallelized three-dimensional Navier-Stokes solver NaSt3
 DGPF. But due to the microscopic problem\, we directly encounter the curse
  of dimensionality. To this end\, we suggest the so-called dimension-adapt
 ive sparse grid approach. It allows to deal with moderate-sized subproblem
 s in an adaptive fashion. Furthermore\, all arising subproblems can be tre
 ated fully in parallel. This way\, reliable multiscale simulations of visc
 oelastic flow problems for microscopic models with N>1 get possible for th
 e first time. This is  joint work with Alexander Rüttgers from Bonn.
X-ALT-DESC:Polymeric viscoelastic fluids can be modelled by using the Navie
 r-Stokes equations on the macroscopic scale with an additional stress tens
 or and a higher-dimensional Fokker-Plank equation or a corresponding stoch
 astic PDE on the microscopic scale. Here\, the dimension of the microscopi
 c problem is 3N where N+1 is the number of beads in the underlying spring 
 bead model for viscoelasticity. For the numerical treatment of the overall
  system\, we couple the the stochastic Brownian configuration field method
  with our fully parallelized three-dimensional Navier-Stokes solver NaSt3D
 GPF. But due to the microscopic problem\, we directly encounter the curse 
 of dimensionality. To this end\, we suggest the so-called dimension-adapti
 ve sparse grid approach. It allows to deal with moderate-sized subproblems
  in an adaptive fashion. Furthermore\, all arising subproblems can be trea
 ted fully in parallel. This way\, reliable multiscale simulations of visco
 elastic flow problems for microscopic models with N&gt\;1 get possible for
  the first time. This is&nbsp\; joint work with Alexander Rüttgers from B
 onn. 
DTEND;TZID=Europe/Zurich:20151201T131500
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