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Convergence, adaptive refinement, and scaling in 1D peridynamics
Author(s) -
Bobaru Florin,
Yang Mijia,
Alves Leonardo Frota,
Silling Stewart A.,
Askari Ebrahim,
Xu Jifeng
Publication year - 2008
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.2439
Subject(s) - peridynamics , classification of discontinuities , elasticity (physics) , convergence (economics) , scaling , grid , mathematics , computer science , rate of convergence , mathematical optimization , mathematical analysis , continuum mechanics , mechanics , geometry , physics , economic growth , computer network , channel (broadcasting) , economics , thermodynamics
We introduce here adaptive refinement algorithms for the non‐local method peridynamics, which was proposed in ( J. Mech. Phys. Solids 2000; 48 :175–209) as a reformulation of classical elasticity for discontinuities and long‐range forces. We use scaling of the micromodulus and horizon and discuss the particular features of adaptivity in peridynamics for which multiscale modeling and grid refinement are closely connected. We discuss three types of numerical convergence for peridynamics and obtain uniform convergence to the classical solutions of static and dynamic elasticity problems in 1D in the limit of the horizon going to zero. Continuous micromoduli lead to optimal rates of convergence independent of the grid used, while discontinuous micromoduli produce optimal rates of convergence only for uniform grids. Examples for static and dynamic elasticity problems in 1D are shown. The relative error for the static and dynamic solutions obtained using adaptive refinement are significantly lower than those obtained using uniform refinement, for the same number of nodes. Copyright © 2008 John Wiley & Sons, Ltd.