DOAJ Open Access 2021

Methodology to Calibrate the Dissection Properties of Aorta Layers from Two Sets of Experimental Measurements

Itziar Ríos-Ruiz Myriam Cilla Miguel A. Martínez Estefanía Peña

Abstrak

Aortic dissection is a prevalent cardiovascular pathology that can have a fatal outcome. However, the mechanisms that trigger this disease and the mechanics of its progression are not fully understood. Computational models can help understand these issues, but they need a proper characterisation of the tissues. Therefore, we propose a methodology to obtain the dissection parameters of all layers in aortic tissue via the computational modelling of two different delamination tests: the peel and mixed tests. Both experimental tests have been performed in specimens of porcine aorta, where the intima-media and media-adventitia interfaces, as well as the medial layer, were dissected. These two tests have been modelled using a cohesive zone formulation for the separating interface and a hyperelastic anisotropic material model via an implicit static analysis. The dissection properties of each interface have been calibrated by reproducing the force-displacement curves obtained in the experimental tests. The values of peak and mean force of the experiments were fitted with an error below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>10</mn><mo>%</mo></mrow></semantics></math></inline-formula>. With this methodology, we intend to contribute to the development of reliable numerical tools for simulating aortic dissection and aortic aneurysm rupture.

Topik & Kata Kunci

Penulis (4)

I

Itziar Ríos-Ruiz

M

Myriam Cilla

M

Miguel A. Martínez

E

Estefanía Peña

Format Sitasi

Ríos-Ruiz, I., Cilla, M., Martínez, M.A., Peña, E. (2021). Methodology to Calibrate the Dissection Properties of Aorta Layers from Two Sets of Experimental Measurements. https://doi.org/10.3390/math9141593

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Informasi Jurnal
Tahun Terbit
2021
Sumber Database
DOAJ
DOI
10.3390/math9141593
Akses
Open Access ✓