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DTSTAMP:20220812T074334Z
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UID:submissions.pasc-conference.org_PASC22_sess134_msa203@linklings.com
SUMMARY:Long-Time Mesoscopic Simulation of Microvascular Blood Flow in Zeb
 rafish Enabled by a Multiscale Parallel-in-Time Method
DESCRIPTION:Minisymposium\n\nLong-Time Mesoscopic Simulation of Microvascu
 lar Blood Flow in Zebrafish Enabled by a Multiscale Parallel-in-Time Metho
 d\n\nLi, Yin, Hasegawa, Karniadakis\n\nThe intrinsic stochastic effects ca
 n play an important role in mesoscopic processes, while the time step allo
 wed in a mesoscopic simulation is restricted by rapid cellular/subcellular
  dynamic processes, which limits the timescale of mesoscopic simulations. 
 To break this bottleneck and achieve a biologically meaningful timescale, 
 a multiscale parallel-in-time algorithm is applied to supervise a mesoscop
 ic simulation in time-domain by its continuum counterpart. Using a predict
 ion-correction strategy, the mesoscopic simulation supervised by a continu
 um-based solver can converge fast over iterations. Benchmark tests show th
 at the supervised mesoscopic simulations of both Newtonian fluids and non-
 Newtonian bloods converge to reference solutions after a few iterations in
  terms of velocity, wall shear stress and flowrate. The proposed method is
  then applied to a large-scale mesoscopic simulation of microvessel blood 
 flow in a zebrafish hindbrain, where the 3D geometry of the vasculature is
  constructed directly from the images of live zebrafish under a confocal m
 icroscope. The time-dependent blood flow from heartbeats of zebrafish is s
 imulated using dissipative particle dynamics as the mesoscopic model, whic
 h is supervised by a continuum-based blood flow model in multiple temporal
  subdomains. The computational analysis shows that the resulting microvess
 el blood flow converges to the reference solution after only two iteration
 s.\n\nDomain: Engineering, Life Sciences
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