Adaptive higher-order finite element methods for transient PDE problems based on embedded higher-order implicit Runge-Kutta methods

被引:8
|
作者
Solin, Pavel [1 ,2 ]
Korous, Lukas [3 ]
机构
[1] Univ Nevada, Dept Math & Stat, Reno, NV 89557 USA
[2] Acad Sci Czech Republ, Inst Thermomech, Prague, Czech Republic
[3] Charles Univ Prague, Prague, Czech Republic
关键词
Runge-Kutta method; Butcher's table; Finite element method; Automatic adaptivity; Dynamically changing meshes; Reproducible research; SPACE;
D O I
10.1016/j.jcp.2011.10.023
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present a new class of adaptivity algorithms for time-dependent partial differential equations (PDE) that combine adaptive higher-order finite elements (hp-FEM) in space with arbitrary (embedded, higher-order, implicit) Runge-Kutta methods in time. Weak formulation is only created for the stationary residual, and the Runge-Kutta methods are specified via their Butcher's tables. Around 30 Butcher's tables for various Runge-Kutta methods with numerically verified orders of local and global truncation errors are provided. A time-dependent benchmark problem with known exact solution that contains a sharp moving front is introduced, and it is used to compare the quality of seven embedded implicit higher-order Runge-Kutta methods. Numerical experiments also include a comparison of adaptive low-order FEM and hp-FEM with dynamically changing meshes. All numerical results presented in this paper were obtained using the open source library Hermes (http://www.hpfem.org/hermes) and they are reproducible in the Networked Computing Laboratory (NCLab) at http://www.nclab.com. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:1635 / 1649
页数:15
相关论文
共 50 条
  • [41] Methods and framework for visualizing higher-order finite elements
    Schroeder, WJ
    Bertel, F
    Malaterre, M
    Thompson, D
    Pebay, PP
    O'Bara, R
    Tendulkar, S
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2006, 12 (04) : 446 - 460
  • [42] Implementation of high-order implicit Runge-Kutta methods
    González-Pinto, S
    Pérez-Rodríguez, S
    Montijano, JI
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2001, 41 (7-8) : 1009 - 1024
  • [43] ORDER RESULTS FOR MONO-IMPLICIT RUNGE-KUTTA METHODS
    BURRAGE, K
    CHIPMAN, FH
    MUIR, PH
    SIAM JOURNAL ON NUMERICAL ANALYSIS, 1994, 31 (03) : 876 - 891
  • [44] The effective order of singly-implicit Runge-Kutta methods
    Butcher, JC
    Chartier, P
    NUMERICAL ALGORITHMS, 1999, 20 (04) : 269 - 284
  • [45] HIGHER-ORDER METHODS FOR CONVECTION-DIFFUSION PROBLEMS
    MURPHY, JD
    PRENTER, PM
    COMPUTERS & FLUIDS, 1985, 13 (02) : 157 - 176
  • [46] Higher-order generalized-α methods for parabolic problems
    Behnoudfar, Pouria
    Deng, Quanling
    Calo, Victor M.
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2024, 125 (13)
  • [47] Higher-order generalized-α methods for hyperbolic problems
    Behnoudfar, Pouria
    Deng, Quanling
    Calo, Victor M.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 378
  • [48] NUMERICAL SOLUTION METHODS FOR IMPLICIT RUNGE-KUTTA METHODS OF ARBITRARILY HIGH ORDER
    Axelsson, Owe
    Neytcheva, Maya
    ALGORITMY 2020: 21ST CONFERENCE ON SCIENTIFIC COMPUTING, 2020, : 11 - 20
  • [49] A FAMILY OF HIGHER-ORDER MIXED FINITE-ELEMENT METHODS FOR PLANE ELASTICITY
    ARNOLD, DN
    DOUGLAS, J
    GUPTA, CP
    NUMERISCHE MATHEMATIK, 1984, 45 (01) : 1 - 22
  • [50] HIGH-ORDER ADAPTIVE FINITE ELEMENT-SINGLY IMPLICIT RUNGE-KUTTA METHODS FOR PARABOLIC DIFFERENTIAL-EQUATIONS
    MOORE, PK
    FLAHERTY, JE
    BIT, 1993, 33 (02): : 309 - 331