Newmark algorithm for dynamic analysis with Maxwell chain model
Jaroslav Schmidt, Tom\'a\v{s} Janda, Alena Zemanov\'a, Jan Zeman,, Michal \v{S}ejnoha

TL;DR
This paper develops a stable and low-damping Newmark-type time-stepping algorithm for dynamic analysis of viscoelastic structures modeled by a generalized Maxwell chain, based on a discretized Hamilton variational principle.
Contribution
It extends existing algorithms to a generic Maxwell chain and derives it from a variational principle, enhancing stability and reducing artificial damping.
Findings
Algorithm exhibits excellent stability.
Low artificial damping confirmed through examples.
Applicable to distributed systems and fracture simulations.
Abstract
This paper investigates a time-stepping procedure of the Newmark type for dynamic analyses of viscoelastic structures characterized by a generalized Maxwell model. We depart from a scheme developed for a three-parameter model by Hatada et al. in 2000, which we extend to a generic Maxwell chain and demonstrate that the resulting algorithm can be derived from a suitably discretized Hamilton variational principle. This variational structure manifests itself in an excellent stability and a low artificial damping of the integrator, as we confirm with a mass-spring-dashpot example. After a straightforward generalization to distributed systems, the integrator may find use in, e.g., fracture simulations of laminated glass units, once combined with variationally-based fracture models.
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.
