Solving viscoelastic problems in a step-inverse Laplace transform approach supplanted with ARX models: a way to upgrade Finite Element or spectral codes

TL;DR

This paper introduces a novel Laplace transform inversion method combined with ARX models to efficiently solve viscoelastic problems, improving computational speed and accuracy in finite element simulations.

Contribution

It presents a new algorithm that integrates Laplace domain approaches with ARX models, avoiding extensive memory use and enhancing precision in viscoelastic problem solving.

Findings

Algorithm achieves high accuracy in viscoelastic simulations.

Significant reduction in computational time compared to traditional methods.

Effective replacement of LTBF with ARX models maintains precision.

Abstract

Finite Element codes used for solving the mechanical equilibrium equations in transient problems associated to (time-dependent) viscoelastic media generally relies on time-discretized versions of the selected constitutive law. Recent concerns about the use of non-integer differential equations to describe viscoelasticity or well-founded ideas based upon the use of a behavior's law directly derived from Dynamic Mechanical Analysis (DMA) experiments in frequency domain, could make the Laplace domain approach particularly attractive if embedded in a time discretized scheme. Based upon the inversion of Laplace transforms, this paper shows that this aim is not only possible but also gives rise to a simple algorithm having good performances in terms of computation times and precision. Such an approach, which fully relies on the Laplace-defined Behavioral Transfer Function (LTBF) can be promoted if it uses ARX parametric models perfectly substitutable to the real LTBF. They avoid the hitherto prohibitive pitfall of having to store all past data in the computer's memory while maintaining an equal computation precision.