Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation

Fuente: arXiv
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Auteurs principaux: Bouck, Lucas, Nochetto, Ricardo H., Yang, Shuo
Format: Preprint
Publié: 2022
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author Bouck, Lucas
Nochetto, Ricardo H.
Yang, Shuo
author_facet Bouck, Lucas
Nochetto, Ricardo H.
Yang, Shuo
contents We examine a reduced membrane model of liquid crystal polymer networks (LCNs) via asymptotics and computation. This model requires solving a minimization problem for a non-convex stretching energy. We show a formal asymptotic derivation of the 2D membrane model from 3D rubber elasticity. We construct approximate solutions with point defects. We design a finite element method with regularization, and propose a nonlinear gradient flow with Newton inner iteration to solve the non-convex discrete minimization problem. We present numerical simulations of practical interests to illustrate the ability of the model and our method to capture rich physical phenomena.
format Preprint
id arxiv_https___arxiv_org_abs_2210_02710
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation
Bouck, Lucas
Nochetto, Ricardo H.
Yang, Shuo
Numerical Analysis
We examine a reduced membrane model of liquid crystal polymer networks (LCNs) via asymptotics and computation. This model requires solving a minimization problem for a non-convex stretching energy. We show a formal asymptotic derivation of the 2D membrane model from 3D rubber elasticity. We construct approximate solutions with point defects. We design a finite element method with regularization, and propose a nonlinear gradient flow with Newton inner iteration to solve the non-convex discrete minimization problem. We present numerical simulations of practical interests to illustrate the ability of the model and our method to capture rich physical phenomena.
title Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation
topic Numerical Analysis
url https://arxiv.org/abs/2210.02710