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Blood Pump UQ |
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#### Aims
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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.
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#### Why using HiFlow³?
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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.
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#### Researchers
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Chen Song (contact person)
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#### Related information
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[FDA “Critical Path” Computational Fluid Dynamics (CFD)/ Blood Damage Project](https://nciphub.org/wiki/FDA_CFD)
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#### Publications
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* 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
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* 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 |
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