Journal article 185 views
An In Silico-Based Investigation on Anisotropic Hyperelastic Constitutive Models for Soft Biological Tissues
Hüsnü Dal 
,
Alp Kağan Açan,
Ciara Durcan,
Mokarram Hossain
,
Alp Kağan Açan,
Ciara Durcan,
Mokarram Hossain
Archives of Computational Methods in Engineering, Volume: 30, Issue: 8, Pages: 4601 - 4632
Swansea University Authors:
Ciara Durcan, Mokarram Hossain
DOI (Published version): 10.1007/s11831-023-09956-3
Abstract
We review twelve invariant and dispersion-type anisotropic hyperelastic constitutive models for soft biological tissues based on their fitting performance to various experimental data. To this end, we used a hybrid multi-objective optimization procedure along with a genetic algorithm to generate the...
| Published in: | Archives of Computational Methods in Engineering |
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| ISSN: | 1134-3060 1886-1784 |
| Published: |
Springer Science and Business Media LLC
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa63941 |
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| Abstract: |
We review twelve invariant and dispersion-type anisotropic hyperelastic constitutive models for soft biological tissues based on their fitting performance to various experimental data. To this end, we used a hybrid multi-objective optimization procedure along with a genetic algorithm to generate the initial guesses followed by a gradient-based search algorithm. The constitutive models are then fit to a set of uniaxial and biaxial tension experiments conducted on tissues with different histology. For the in silico investigation, experiments conducted on human aneurysmatic abdominal aorta, linea alba, and rectus sheath tissues are utilized. Accordingly, the models are ranked with respect to an objective normalized quality of fit metric. Finally, a detailed discussion is carried out on the fitting performance of the models. This work provides a valuable quantitative comparison of various anisotropic hyperelastic models, the findings of which can aid researchers in selecting the most suitable constitutive model for their particular analysis. The investigation reveals superior fitting performance of dispersion-type anisotropic constitutive formulations over invariant formulations. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
8 |
| Start Page: |
4601 |
| End Page: |
4632 |