Presentation

Long-Time Mesoscopic Simulation of Microvascular Blood Flow in Zebrafish Enabled by a Multiscale Parallel-in-Time Method
Presenter
DescriptionThe intrinsic stochastic effects can play an important role in mesoscopic processes, while the time step allowed 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 mesoscopic simulation in time-domain by its continuum counterpart. Using a prediction-correction strategy, the mesoscopic simulation supervised by a continuum-based solver can converge fast over iterations. Benchmark tests show that 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 microscope. The time-dependent blood flow from heartbeats of zebrafish is simulated using dissipative particle dynamics as the mesoscopic model, which is supervised by a continuum-based blood flow model in multiple temporal subdomains. The computational analysis shows that the resulting microvessel blood flow converges to the reference solution after only two iterations.
SlidesPDF
TimeMonday, June 2717:00 - 17:30 CEST
LocationRio Room
Event Type
Minisymposium
Domains
Engineering
Life Sciences