Abstract

Added-mass instability is known to be an important issue in the partitioned approach for fluid-structure interaction (FSI) solvers. Despite the implementation of the implicit approach, convergence of solution can be difficult to achieve. Relaxation may be applied to improve this implicitness of the partitioned algorithm, but this commonly leads to a significant increase in computational time. This is because the critical relaxation factor that allows stability of the coupling tends to be impractically small. In this study, a mathematical analysis for optimizing numerical performance based on different time integration schemes that pertain to both the fluid and solid accelerations is presented. The aim is to determine the most efficient configuration for the FSI architecture. Both theoretical and numerical results suggest that the choice of time integration schemes has a significant influence on the stability of FSI coupling. This concludes that, in addition to material and its geometric properties, the choice of time integration schemes is important in determining the stability of the numerical computation. A proper selection of the associated parameters can improve performance considerably by influencing the condition of coupling stability.

Highlights

  • Fluid-structure interaction (FSI) is used widely in biomechanical computer simulations

  • The aim of this work is to analyze performance of FSI using a partitioned approach based on different time integration schemes that pertain to the structural mechanics

  • We explore the influence of time integration schemes on a partitioned approach for fluid-structure interaction problems by organising our work in a logical manner

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Summary

Introduction

Fluid-structure interaction (FSI) is used widely in biomechanical computer simulations. The modelling of pulsatile blood flow in elastic vessels requires a framework that can handle the blood-vessel interaction, and the implementation of FSI can solve the time dependent biofluid flow through its elastic structure. Useful information such as the severity of vessel damage by abnormal flow, degree of plaque growth or risk of its rupture in diseased arteries, and the aggravation of atherosclerosis can be generated for medical evaluation. FSI is an architecture processing the interaction of a solid structure with a dynamic fluid that can be implemented by the monolithic and partitioned approaches. FSI gives strong coupling between the two domains, the limitations are as follows:

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