Uncertainty Quantification for a blood pump device

Aims

Investigating the parameterized uncertainties of the blood flow in a centrifugal blood pump instrument. By quantifying the uncertainties in the numerical model in order to further improve the engineering design of the machine and guarantee the surgical process.

Why using HiFlow3?

HiFlow3 provides the viability of employing the Stochastic Finite Element Method (SFEM) based on the generalized Polynomial Chaos (gPC) method with advanced solver/preconditioner techniques to accelerate the computation. The flexible grid implementation enables also the moving mesh technique to achieve the rotating machinery modeling.

Researchers

M. Sc. Chen Song (contact person)

 

Related information

FDA “Critical Path” Computational Fluid Dynamics (CFD)/ Blood Damage Project: https://nciphub.org/wiki/FDA_CFD

Publications

  • Chen Song, Vincent Heuveline, Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump, Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 2017
  • Michael Schick, Chen Song, Vincent Heuveline, A Polynomial Chaos method for Uncertainty Quantification in blood pump simulation, Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 2015