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On the Significance of Exposure Time in Computational Blood Damage Estimation

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Book cover High-Performance Scientific Computing (JHPCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10164))

Abstract

The reliability of common stress-based power law models for hemolysis estimations in blood pumps is still not satisfying. Stress-based models are based on an instantaneous shear stress measure. Therefore, such models implicitly assume that red blood cells deform immediately due to the action of forces. In contrast, a strain-based model considers the entire deformation history of the cells. By applying a viscoelastic tensor equation for the stress computation, the effect of exposure time is represented as a biophysical phenomenon. Comparisons of stress-based and strain-based hemolysis models in a centrifugal blood pump show very significant differences. Stress peaks with short exposure time contribute to the overall hemolysis in the stress-based model, whereas regions with increased shear and long exposure time are responsible for damage in the strain-based model.

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Acknowledgments

We like to thank Jaewook Nam and Matteo Pasquali for their contributions to previous implementations of the hemolysis models. In addition, we gratefully acknowledge the support by the DFG program GSC 111 (AICES Graduate School). Computing resources were provided by the RWTH Aachen University IT Center and by the Forschungszentrum Jülich John von Neumann Institute for Computing under the Jülich Aachen Research Alliance (JARA).

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Authors and Affiliations

  1. Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056, Aachen, Germany

    Lutz Pauli & Marek Behr

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  1. Lutz Pauli
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  2. Marek Behr
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Correspondence to Lutz Pauli .

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Editors and Affiliations

  1. Forschungszentrum Jülich, Jülich, Germany

    Edoardo Di Napoli

  2. Forschungszentrum Jülich, Jülich, Germany

    Marc-André Hermanns

  3. RWTH Aachen University, Aachen, Germany

    Hristo Iliev

  4. RWTH Aachen University, Aachen, Germany

    Andreas Lintermann

  5. Forschungszentrum Jülich, Jülich, Germany

    Alexander Peyser

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Pauli, L., Behr, M. (2017). On the Significance of Exposure Time in Computational Blood Damage Estimation. In: Di Napoli, E., Hermanns, MA., Iliev, H., Lintermann, A., Peyser, A. (eds) High-Performance Scientific Computing. JHPCS 2016. Lecture Notes in Computer Science(), vol 10164. Springer, Cham. https://doi.org/10.1007/978-3-319-53862-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-53862-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53861-7

  • Online ISBN: 978-3-319-53862-4

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