Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/10094
Title: | An Investigation on the Aggregation and Rheodynamics of Human Red Blood Cells Using High Performance Computations | Authors: | Xu, Dong Ji, Chunning Avital, Eldad Jitzhak Kaliviotis, Efstathios Munjiza, Antonio A. Williams, John J.R. |
Major Field of Science: | Engineering and Technology | Field Category: | Mechanical Engineering | Keywords: | Blood;Cytology;Cells RBCs | Issue Date: | 2017 | Source: | Scientifica, 2017, vol. 2017 | Volume: | 2017 | Journal: | Scientifica | Abstract: | Studies on the haemodynamics of human circulation are clinically and scientifically important. In order to investigate the effect of deformation and aggregation of red blood cells (RBCs) in blood flow, a computational technique has been developed by coupling the interaction between the fluid and the deformable RBCs. Parallelization was carried out for the coupled code and a high speedup was achieved based on a spatial decomposition. In order to verify the code's capability of simulating RBC deformation and transport, simulations were carried out for a spherical capsule in a microchannel and multiple RBC transport in a Poiseuille flow. RBC transport in a confined tube was also carried out to simulate the peristaltic effects of microvessels. Relatively large-scale simulations were carried out of the motion of 49,512 RBCs in shear flows, which yielded a hematocrit of 45%. The large-scale feature of the simulation has enabled a macroscale verification and investigation of the overall characteristics of RBC aggregations to be carried out. The results are in excellent agreement with experimental studies and, more specifically, both the experimental and simulation results show uniform RBC distributions under high shear rates (60-100/s) whereas large aggregations were observed under a lower shear rate of 10/s. | URI: | https://hdl.handle.net/20.500.14279/10094 | ISSN: | 2090908X | DOI: | 10.1155/2017/6524156 | Rights: | © Dong Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | Type: | Article | Affiliation : | Tianjin University Queen Mary University of London Cyprus University of Technology University of Split |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kaliviotis.pdf | 4.08 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
9
checked on Nov 9, 2023
Page view(s)
414
Last Week
1
1
Last month
3
3
checked on Nov 21, 2024
Download(s)
106
checked on Nov 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.