Numerical approximations of thin structure deformations

12/22/2022
by   Andrea Bonito, et al.
0

We review different (reduced) models for thin structures using bending as principal mechanism to undergo large deformations. Each model consists in the minimization of a fourth order energy, potentially subject to a nonconvex constraint. Equilibrium deformations are approximated using local discontinuous Galerkin (LDG) finite elements. The design of the discrete energies relies on a discrete Hessian operator defined on discontinuous functions with better approximation properties than the piecewise Hessian. Discrete gradient flows are put in place to drive the minimization process. They are chosen for their robustness and ability to preserve the nonconvex constraint. Several numerical experiments are presented to showcase the large variety of shapes that can be achieved with these models.

READ FULL TEXT

page 28

page 31

page 32

page 34

page 38

research
11/02/2020

LDG approximation of large deformations of prestrained plates

A reduced model for large deformations of prestrained plates consists of...
research
12/09/2019

DG Approach to Large Bending Plate Deformations with Isometry Constraint

We propose a new discontinuous Galerkin (dG) method for a geometrically ...
research
06/25/2021

Numerical analysis of the LDG method for large deformations of prestrained plates

A local discontinuous Galerkin (LDG) method for approximating large defo...
research
01/09/2023

Γ-convergent LDG method for large bending deformations of bilayer plates

Bilayer plates are slender structures made of two thin layers of differe...
research
05/11/2022

Error Estimates For A Linear Folding Model

An interior penalty discontinuous Galerkin method is devised to approxim...
research
09/01/2019

A least-squares Galerkin approach to gradient and Hessian recovery for nondivergence-form elliptic equations

We propose a least-squares method involving the recovery of the gradient...
research
10/10/2021

Multi-symplectic discontinuous Galerkin methods for the stochastic Maxwell equations with additive noise

One- and multi-dimensional stochastic Maxwell equations with additive no...

Please sign up or login with your details

Forgot password? Click here to reset