A FSI computational framework for vascular physiopathology: A novel flow-tissue multiscale strategy. (September 2017)

• Record Type: Journal Article
• Authors: Bianchi, Daniele; Monaldo, Elisabetta; Gizzi, Alessio; Marino, Michele; Filippi, Simonetta; Vairo, Giuseppe
• Is Part Of: Medical engineering & physics. Volume 47(2017)
• Page Start: 25
• Page End: 37
• Publication Date: 2017-09
• Subjects: Multiscale tissue mechanics -- Nonlinear material modeling -- Fluid-structure interaction -- Abdominal aortic aneurysm -- Wall shear stress -- Hemodynamic risk indexes; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2017.06.028
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: A computational framework for vascular physiopathology is developed. Fluid-structure interaction is accounted for, including material nonlinearities. Tissue properties and blood flow are modelled via a double multi-scale rationale. A case study associated to a patient-specific aortic abdominal aneurysm is discussed. Useful clinical quantities and risk indexes are assessed. Abstract: A novel fluid-structure computational framework for vascular applications is herein presented. It is developed by combining the double multi-scale nature of vascular physiopathology in terms of both tissue properties and blood flow. Addressing arterial tissues, they are modelled via a nonlinear multiscale constitutive rationale, based only on parameters having a clear histological and biochemical meaning. Moreover, blood flow is described by coupling a three-dimensional fluid domain (undergoing physiological inflow conditions) with a zero-dimensional model, which allows to reproduce the influence of the downstream vasculature, furnishing a realistic description of the outflow proximal pressure. The fluid-structure interaction is managed through an explicit time-marching approach, able to accurately describe tissue nonlinearities within each computational step for the fluid problem. A case study associated to a patient-specific aortic abdominal aneurysmatic geometry is numerically investigated, highlighting advantages gained from the proposed multiscale strategy, as well as showing soundness and effectiveness of the established framework for assessing useful clinical quantities and risk indexes.