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Jarrah, H.R., Zolfagharian, A. and Bodaghi, M. 
ORCID: 0000-0002-0707-944X,
2021.
Finite element modeling of shape memory polyurethane foams for treatment of cerebral aneurysms.
Biomechanics and Modeling in Mechanobiology.
ISSN 1617-7959
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1504864_Bodaghi.pdf - Published version Download (3MB) | Preview |
Abstract
In this paper, a thermo-mechanical analysis of shape memory polyurethane foams (SMPUFs) with aiding of a finite element model (FEM) for treating cerebral aneurysms (CAs) is introduced. Since the deformation of foam cells is extremely difficult to observe experimentally due to their small size, a structural cell-assembly model is established in this work via finite element modeling to examine all-level deformation details. Representative volume elements of random equilateral Kelvin open-cell microstructures are adopted for the cell foam. Also, a user-defined material subroutine (UMAT) is developed based on a thermo-visco-elastic constitutive model for SMPUFs, and implemented in the ABAQUS software package. The model is able to capture thermo-mechanical responses of SMPUFs for a full shape memory thermodynamic cycle. One of the latest treatments of CAs is filling the inside of aneurysms with SMPUFs. The developed FEM is conducted on patient-specific basilar aneurysms treated by SMPUFs. Three sizes of foams are selected for the filling inside of the aneurysm and then governing boundary conditions and loadings are applied to the foams. The results of the distribution of stress and displacement in the absence and presence of the foam are compared. Due to the absence of similar results in the specialized literature, this paper is likely to fill a gap in the state of the art of this problem and provide pertinent results that are instrumental in the design of SMPUFs for treating CAs.
| Item Type: | Journal article | ||||||
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| Publication Title: | Biomechanics and Modeling in Mechanobiology | ||||||
| Creators: | Jarrah, H.R., Zolfagharian, A. and Bodaghi, M. | ||||||
| Publisher: | Springer Science and Business Media LLC | ||||||
| Date: | 14 December 2021 | ||||||
| ISSN: | 1617-7959 | ||||||
| Identifiers: |
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| Rights: | © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 05 Jan 2022 09:44 | ||||||
| Last Modified: | 05 Jan 2022 09:44 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/45159 |
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