Numerical modeling of bare and polymer-covered braided stents using torsional and tensile springs connectors

• Published in: Journal of biomechanics Vol. 123; p. 110459
• Main Authors: Giuliodori, Agustina, Hernández, Joaquín A., Fernandez-Sanchez, David, Galve, Iñaki, Soudah, Eduardo
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 23.06.2021; Elsevier Limited
• Subjects: Braided stent; Braiding; Compression; Computer applications; Connectors; Covered stent; Finite element analysis; Finite element method; Friction; Implants; Mathematical analysis; Mechanical springs; Medical equipment; Polymers; Pressure distribution; Self-expandable stent; Stents; Stiffening; Tension tests; Wires interaction; Self-expandable stent; Covered stent; Finite element analysis; Braided stent; Mechanical springs; Wires interaction
• ISSN: 0021-9290; 1873-2380
• DOI: 10.1016/j.jbiomech.2021.110459

Computational modeling of braided stents using the finite element (FE) method has become an essential tool in the design and development of these medical devices. One of the most challenging issues in such a task is representing in an accurate manner the interaction between the interlacing wires. With the goal of achieving a compromise between accuracy and computational affordability, we propose a new approach consisting in using 1D FE formulations equipped with torsional springs at the crossover points of the wires. In the case of covered braided stents, the model is enriched with a set of tensile springs (defined in the longitudinal direction), aimed at capturing the stiffening effect of the polymeric membrane. The predictive capabilities of the proposed model are evaluated using data of our own experimental tests, as well as data from other tests in the literature. The simulations demonstrate that the proposed model is able to predict the (markedly nonlinear) behavior of stents when subjected to radial and axial cycle loads, with errors at the end of the compression stage ranging from 0.5% to 10% in all cases.