Title

A Meshless Cfd Approach For Evolutionary Shape Optimization Of Bypass Grafts Anastomoses

Keywords

End-to-side distal anastomoses; Genetic algorithms; Intimal hyperplasia; Meshless CFD; Shape optimization

Abstract

Improving the blood flow or hemodynamics in the synthetic bypass graft end-to-side distal anastomosis (ETSDA) is an important element for the long-term success of bypass surgeries. An ETSDA is the interconnection between the graft and the operated-on artery. The control of hemodynamic conditions through the ETSDA is mostly dictated by the shape of the ETSDA. Thus, a formal ETSDA shape optimization would serve the goal of improving the ETSDA flowfield. Computational fluid dynamics (CFD) is a convenient tool to quantify hemodynamic parameters; also, the genetic algorithm (GA) is an effective tool to identify the ETSDA optimal shape that modify those hemodynamic quantities such that the optimization objective is met. The present article introduces a unique approach where a meshless CFD solver is coupled to a GA for the purpose of optimizing the ETSDA shape. Three anastomotic models are optimized herein: the conventional ETSDA, the Miller cuff ETSDA and the hood ETSDA. Results demonstrate the effectiveness of the proposed integrated optimization approach in obtaining anastomoses optimal shapes. © 2009 Taylor & Francis.

Publication Date

4-1-2009

Publication Title

Inverse Problems in Science and Engineering

Volume

17

Issue

3

Number of Pages

411-435

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/17415970902765434

Socpus ID

70449602471 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/70449602471

This document is currently not available here.

Share

COinS