BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Nico Dirkes (RWTH Aachen) DTSTART:20260622T134000Z DTEND:20260622T151000Z DTSTAMP:20260405T174322Z UID:NSCM/217 DESCRIPTION:Title: C omputational Prediction of Red Blood Cell Damage: Mathematical Modeling an d Uncertainty Quantification\nby Nico Dirkes (RWTH Aachen) as part of Nečas Seminar on Continuum Mechanics\n\nInteractive livestream: https://c esnet.zoom.us/j/94319936814?pwd=Y0pRL0FpWEhhQ1U4TzZGc2FDQVM4Zz09\nView-onl y livestream: https://www.youtube.com/channel/UCn9vmevniyXXLEr7VBp5cCQ\nLe cture held in Room K3\, Faculty of Mathematics and Physics\, Charles Univ ersity\, Sokolovská 83 Prague 8..\n\nAbstract\nComputational simulations have become an important tool for the design of mechanical circulatory su pport devices as well as surgical planning ahead of implantation. While co mputational fluid dynamics can accurately predict flow fields\, the predic tion of hemolysis (red blood cell damage) remains challenging. Absolute pr edictions of hemolysis indices often deviate by multiple orders of magnitu de from experimental measurements. This discrepancy can be attributed to t wo issues. First\, most existing models for hemolysis employ a simple powe r law relationship between shear stress\, exposure time\, and hemolysis in dex\, with model parameters fitted to experimental data. Second\, experime ntal data often exhibits large variability between donors and between stud ies\, leading to significant uncertainty in the fitted model parameters. T his is due to individual differences in red blood cell properties and high sensitivity to experimental conditions. Consequently\, the predictive cap abilities of these models are limited\, especially when applied to flow co nditions that differ from those used in experiments.\n\nWe propose a two-s ided approach to enhance the predictive capabilities of hemolysis models. First\, we introduce a more physiological model that incorporates two impo rtant effects of the red blood cell membrane: viscoelastic deformation and pore formation. We highlight the differences between the Lagrangian and E ulerian model formulations. The Eulerian formulation enables a stabilized finite element discretization\, which we apply to various benchmark cases. Second\, we show how uncertainty quantification techniques can be employe d to account for the variability in experimental data when fitting model p arameters. This facilitates the integration of new experimental data as it becomes available\, thereby enabling patient-specific predictions of hemo lysis. Overall\, this two-sided approach allows for more accurate and unce rtainty-aware predictions of hemolysis to support the development process of future generations of biomedical devices.\n LOCATION:https://researchseminars.org/talk/NSCM/217/ URL:https://cesnet.zoom.us/j/94319936814?pwd=Y0pRL0FpWEhhQ1U4TzZGc2FDQVM4Z z09 URL:https://www.youtube.com/channel/UCn9vmevniyXXLEr7VBp5cCQ END:VEVENT END:VCALENDAR