title: Lagrangian methods for blood damage estimation in cardiovascular devices--How numerical implementation affects the results.
abstract: This paper evaluated the influence of various numerical implementation assumptions on predicting blood damage in cardiovascular devices using Lagrangian methods with Eulerian computational fluid dynamics. The implementation assumptions that were tested included various seeding patterns, stochastic walk model, and simplified trajectory calculations with pathlines. Post processing implementation options that were evaluated included single passage and repeated passages stress accumulation and time averaging. This study demonstrated that the implementation assumptions can significantly affect the resulting stress accumulation, i.e., the blood damage model predictions. Careful considerations should be taken in the use of Lagrangian models. Ultimately, the appropriate assumptions should be considered based the physics of the specific case and sensitivity analysis, similar to the ones presented here, should be employed.
authors.affiliation: a Department of Biomedical Engineering , Stony Brook University , Stony Brook , NY , USA.
authors.forename: Gil
authors.initials: G
authors.lastname: Marom
authors.affiliation: a Department of Biomedical Engineering , Stony Brook University , Stony Brook , NY , USA.
authors.forename: Danny
authors.initials: D
authors.lastname: Bluestein
mesh_terms: D002320:Cardiovascular Physiological Phenomena; D002319:Cardiovascular System / Q000473:pathology*; D003198:Computer Simulation; D004864:Equipment and Supplies; D006801:Humans; D008955:Models, Cardiovascular; D013997:Time Factors
keywords: Blood damage model; Lagrangian methods; cardiovascular devices; computational fluid dynamics; numerical modeling