Model reduction methodology for computational simulations of endovascular repair. Issue 2 (25th January 2018)

• Record Type: Journal Article
• Authors: Acosta Santamaría, V. A.; Daniel, G.; Perrin, D.; Albertini, J. N.; Rosset, E.; Avril, S.
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 21:Issue 2(2018)
• Page Start: 139
• Page End: 148
• Publication Date: 2018-01-25
• Subjects: EVAR -- finite element analysis -- model reduction -- Robust Design Method -- stent-graft deployment; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2018.1427740
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: Endovascular aneurysm repair (EVAR) is a current alternative treatment for thoracic and abdominal aortic aneurysms, but is still sometimes compromised by possible complications such as device migration or endoleaks. In order to assist clinicians in preventing these complications, finite element analysis (FEA) is a promising tool. However, the strong material and geometrical nonlinearities added to the complex multiple contacts result in costly finite-element models. To reduce this computational cost, we establish here an alternative and systematic methodology to simplify the computational simulations of stent-grafts (SG) based on FEA. The model reduction methodology relies on equivalent shell models with appropriate geometrical and mechanical parameters. It simplifies significantly the contact interactions but still shows very good agreement with a complete reference finite-element model. Finally, the computational time for EVAR simulations is reduced of a factor 6–10. An application is shown for the deployment of a SG during thoracic endovascular repair, showing that the developed methodology is both effective and accurate to determine the final position of the deployed SG inside the aneurysm.