Literature DB >> 22805981

Severe bending of two aortic stent-grafts: an experimental and numerical mechanical analysis.

Nicolas Demanget1, Pierre Latil, Laurent Orgéas, Pierre Badel, Stéphane Avril, Christian Geindreau, Jean-Noël Albertini, Jean-Pierre Favre.   

Abstract

Stent-grafts (SGs) are commonly used for treating abdominal aortic aneurysms (AAAs) and numerical models tend to be developed for predicting the biomechanical behavior of these devices. However, due to the complexity of SGs, it is important to validate the models. In this work, a validation of the numerical model developed in Demanget et al. (J. Mech. Behav. Biomed. Mater. 5:272-282, 2012) is presented. Two commercially available SGs were subjected to severe bending tests and their 3D geometries in undeformed and bent configurations were imaged from X-ray microtomography. Dedicated image processing subroutines were used in order to extract the stent centerlines from the 3D images. These skeletons in the undeformed configurations were used to set up SG numerical models that are subjected to the boundary conditions measured experimentally. Skeletons of imaged and deformed stents were then quantitatively compared to the numerical simulations. A good agreement is found between experiments and simulations. This validation offers promising perspectives to implementing the numerical models in a computer-aided tool and simulating the endovascular treatments.

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Year:  2012        PMID: 22805981     DOI: 10.1007/s10439-012-0618-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  3 in total

1.  A Computational Framework Examining the Mechanical Behaviour of Bare and Polymer-Covered Self-Expanding Laser-Cut Stents.

Authors:  Ciara G McKenna; Ted J Vaughan
Journal:  Cardiovasc Eng Technol       Date:  2021-11-30       Impact factor: 2.305

2.  A three-dimensional strain measurement method in elastic transparent materials using tomographic particle image velocimetry.

Authors:  Azuma Takahashi; Sara Suzuki; Yusuke Aoyama; Mitsuo Umezu; Kiyotaka Iwasaki
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

3.  Efficiently Simulating an Endograft Deployment: A Methodology for Detailed CFD Analyses.

Authors:  Faidon Kyriakou; Craig Maclean; William Dempster; David Nash
Journal:  Ann Biomed Eng       Date:  2020-05-11       Impact factor: 3.934

  3 in total

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