https://scholars.lib.ntu.edu.tw/handle/123456789/611737
標題: | Application of asymptotic expansion homogenization for vascularized poroelastic brain tissue | 作者: | Shabudin A. Mokhtarudin M.J.M. Payne S. Mohamed N.A.N. STEPHEN JOHN PAYNE |
關鍵字: | Asymptotic analysis;Biomedical engineering;Brain;Microcirculation;Tensors;Tissue;Asymptotic expansion homogenization;Brain tissue;Cell problems;Poroelastic materials;Poroelastic theory;Blood vessels | 公開日期: | 2019 | 起(迄)頁: | 413-418 | 來源出版物: | 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings | 摘要: | Brain oedema formation after ischaemia-reperfusion has been previously modelled by assuming that the blood vessels distribution in the brain as homogeneous. However, the blood vessels in the brain have variety of lengths and diameters, and this assumption should be reconsidered. One of the ways to improve this assumption is by taking into account the microstructure of the blood vessels and their distribution by formulating the model using asymptotic expansion homogenization (AEH) technique. In this paper, AEH of the vascularized poroelastic model is carried out to obtain a set of new homogenized macroscale governing equations and their associated microscale cell problems. An example of solving the microscale cell problems using a simple cubic geometry with embedded 6-branch cylinders representing brain tissue and capillaries is shown to obtain four important tensors L, Q, K, and G. These tensors describe the mechanical and fluid transport characteristics of the brain tissue, which will be used later to solve the homogenized macroscale equations on a larger brain geometry using appropriate boundary conditions. This method will be extended in the future to include statistically accurate capillary distribution of brain tissue. ? 2018 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062774415&doi=10.1109%2fIECBES.2018.08626727&partnerID=40&md5=4b61ea17f5d9aba18ef8b5f15c8a61d0 https://scholars.lib.ntu.edu.tw/handle/123456789/611737 |
DOI: | 10.1109/IECBES.2018.08626727 |
顯示於: | 應用力學研究所 |
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