作者: Zaher El Zahab , Eduardo Divo , Alain Kassab
DOI: 10.1080/10255840903013555
关键词: Engineering 、 Distal anastomosis 、 Mechanics 、 Computational fluid dynamics 、 Solver 、 Shear stress 、 Bypass grafts 、 Anastomosis 、 Structural engineering 、 Genetic algorithm
摘要: The wall shear stress (WSS) spatial and temporal gradients are two hemodynamics parameters correlated with endothelial damage. Those become well pronounced in a bypass graft anastomosis geometry where the blood flow patterns quite disturbed. WSS gradient minimisation on host artery floor can be achieved by optimising shape hence may lead to an improved long-term post-surgical performance of graft. optimisation executed via integrated computational tool comprised meshless fluid dynamics (CFD) solver genetic algorithm (GA) optimiser. CFD serves evaluate GA optimiser search for end-to-side distal (ETSDA) optimal that best minimises those gradients. We utilise method resolve purpose optimisation. consider three different anastomotic models: conventional ETSDA, Miller Cuff ETSDA hood ETSDA. results reported herein demonstrate calibre should always maximised whether or model is utilised. Also, it was noted height minimised. choice angle optimised achieve compromise between concurrent minimisations both gradient.