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

被引:8
|
作者
Bonito, Andrea [1 ]
Guignard, Diane [2 ]
Nochetto, Ricardo H. [3 ,4 ]
Yang, Shuo [5 ,6 ]
机构
[1] Texas A&M Univ, Dept Math, College Stn, TX 77843 USA
[2] Univ Ottawa, Dept Math & Stat, Ottawa, ON K1N 6N5, Canada
[3] Univ Maryland, Dept Math, College Pk, MD 20742 USA
[4] Univ Maryland, Inst Phys Sci & Technol, College Pk, MD 20742 USA
[5] Yanqi Lake Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China
[6] Tsinghua Univ, Yau Math Sci Ctr, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
prestrained materials; metric constraint; local discontinuous Galerkin; reconstructed Hessian; discrete gradient flow; free boundary conditions; DISCONTINUOUS GALERKIN METHODS; FINITE-ELEMENT APPROXIMATION;
D O I
10.1093/imanum/drab103
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A local discontinuous Galerkin (LDG) method for approximating large deformations of prestrained plates is introduced and tested on several insightful numerical examples in Bonito et al. (2022, LDG approximation of large deformations of prestrained plates. J. Comput. Phys., 448, 110719). This paper presents a numerical analysis of this LDG method, focusing on the free boundary case. The problem consists of minimizing a fourth-order bending energy subject to a nonlinear and nonconvex metric constraint. The energy is discretized using LDG and a discrete gradient flow is used for computing discrete minimizers. We first show G -convergence of the discrete energy to the continuous one. Then we prove that the discrete gradient flow decreases the energy at each step and computes discrete minimizers with control of the metric constraint defect. We also present a numerical scheme for initialization of the gradient flow and discuss the conditional stability of it.
引用
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页码:627 / 662
页数:36
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