Fast Solution Methods for Fractional Differential Equations in the Modeling of Viscoelastic Materials
Kai Diethelm

TL;DR
This paper explores efficient numerical methods for solving fractional differential equations in viscoelastic material modeling, addressing computational challenges through infinite state representations and parameter optimization based on numerical experiments.
Contribution
It introduces improved solution algorithms using infinite state representations and provides guidance on parameter selection to enhance computational efficiency.
Findings
Effective parameter choices for infinite state algorithms
Reduced computational complexity in fractional differential equations
Enhanced modeling accuracy for viscoelastic materials
Abstract
Fractional order models have proven to be a very useful tool for the modeling of the mechanical behaviour of viscoelastic materials. Traditional numerical solution methods exhibit various undesired properties due to the non-locality of the fractional differential operators, in particular regarding the high computational complexity and the high memory requirements. The infinite state representation is an approach on which one can base numerical methods that overcome these obstacles. Such algorithms contain a number of parameters that influence the final result in nontrivial ways. Based on numerical experiments, we initiate a study leading to good choices of these parameters.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Numerical methods for differential equations · Differential Equations and Numerical Methods
