FSI analysis of synthetic graft for coronary bypass flow: numerical optimization of geometric parameters.

Farnaz Soltani, Aisa Rassoli, Mahkame Sharbatdar

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Article in Physical and engineering sciences in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Farnaz SoltaniDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Aisa RassoliDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran. a.rassoli@kntu.ac.ir.

Mahkame SharbatdarDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease, a leading cause of mortality worldwide, often necessitates bypass surgery to restore blood flow and prevent myocardial infarction. In this procedure, a graft is sutured to the coronary artery, bypassing the occluded region. Synthetic grafts are a viable option for such surgeries. This study optimizes the geometric design of synthetic grafts by determining the ideal connection angle and diameter using a genetic algorithm. The algorithm minimizes the Time-Averaged Wall Shear Stress (TAWSS) as the cost function. Parametric variations were applied, with the diameter ranging from 2.5 mm to 4 mm and the connection angle from 20° to 85°. The optimal model identified a graft diameter of 4 mm and a connection angle of 61°. Computational fluid dynamics (CFD) and fluid-structure interaction (FSI) analyses of the optimal design revealed that elevated TAWSS was confined to a small region at the graft-coronary artery junction and the toe of the anastomosis. These findings underscore the importance of optimizing graft geometry to enhance the hemodynamic performance, efficiency, and durability of synthetic grafts in bypass surgeries.

Indexed as

Blood Vessel ProsthesisCoronary Artery BypassAlgorithmsComputer SimulationCoronary VesselsGenetic AlgorithmsHemodynamicsHumansHydrodynamicsModels, CardiovascularStress, MechanicalConnection angleGenetic algorithmGraft diameterHemodynamicsRestenosisSynthetic grafts

Identifiers

PMID42446841

DOI10.1016/j.msec.2019.03.023

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.