Analysis of viscoelastic flow with a generalized memory and its exponential convergence to steady state

TL;DR

This paper introduces a generalized viscoelastic flow model with a weak-singular memory component, proving well-posedness and exponential convergence to steady state, extending classical models and aiding numerical method development.

Contribution

It extends classical viscoelastic flow equations by incorporating a weak-singular kernel, providing new theoretical insights into solution behavior and convergence.

Findings

Proved well-posedness and regularity of the model solutions

Established exponential convergence to steady state

Extended classical models with a weak-singular memory component

Abstract

We investigate a viscoelastic flow model with a generalized memory, in which a weak-singular component is introduced in the exponential convolution kernel of classical viscoelastic flow equations that remains untreated in the literature. We prove the well-posedness and regularity of the solutions, based on which we prove the exponential convergence of the solutions to the steady state. The proposed model serves as an extension of classical viscoelastic flow equations by adding a dimension characterized by the power of the weak-singular kernel, and the derived results provide theoretical supports for designing numerical methods for both the considered equation and its steady state.