An efficient and accurate semi-implicit time integration scheme for dynamics in nearly- and fully-incompressible hyperelastic solids
Edward M. Terrell, Boyce E. Griffith

TL;DR
This paper introduces two semi-implicit time integration schemes for large-scale dynamics in nearly- and fully-incompressible hyperelastic solids, demonstrating their stability, accuracy, and specific stability properties, while highlighting challenges in volume preservation.
Contribution
The paper develops and empirically verifies two second-order accurate semi-implicit schemes, analyzing their stability and effectiveness for nonlinear elasticity problems.
Findings
FEBDF2's time step size scales inversely with shear wave speed
Both schemes are second-order accurate and stable
Semi-implicit schemes have difficulty preserving volume globally
Abstract
The choice of numerical integrator in approximating solutions to dynamic partial differential equations depends on the smallest time-scale of the problem at hand. Large-scale deformations in elastic solids contain both shear waves and bulk waves, the latter of which can travel infinitely fast in incompressible materials. Explicit schemes, which are favored for their efficiency in resolving low-speed dynamics, are bound by time step size restrictions that inversely scale with the fastest wave speed. Implicit schemes can enable larger time step sizes regardless of the wave speeds present, though they are much more computationally expensive. Semi-implicit methods, which are more stable than explicit methods and more efficient than implicit methods, are emerging in the literature, though their applicability to nonlinear elasticity is not extensively studied. In this research, we develop and…
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
TopicsNumerical methods for differential equations · Dynamics and Control of Mechanical Systems · Advanced Numerical Methods in Computational Mathematics
